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<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.1d1 20130915//EN" "JATS-archivearticle1.dtd"><article article-type="research-article" dtd-version="1.1d1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="nlm-ta">elife</journal-id><journal-id journal-id-type="hwp">eLife</journal-id><journal-id journal-id-type="publisher-id">eLife</journal-id><journal-title-group><journal-title>eLife</journal-title></journal-title-group><issn publication-format="electronic">2050-084X</issn><publisher><publisher-name>eLife Sciences Publications, Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">03075</article-id><article-id pub-id-type="doi">10.7554/eLife.03075</article-id><article-categories><subj-group subj-group-type="display-channel"><subject>Short report</subject></subj-group><subj-group subj-group-type="heading"><subject>Neuroscience</subject></subj-group></article-categories><title-group><article-title>Nucleus reuniens of the thalamus contains head direction cells</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes" id="author-13303"><name><surname>Jankowski</surname><given-names>Maciej M</given-names></name><xref ref-type="aff" rid="aff1"/><xref ref-type="fn" rid="equal-contrib">†</xref><xref ref-type="fn" rid="con1"/><xref ref-type="fn" rid="conf1"/><xref ref-type="other" rid="dataro1"/></contrib><contrib contrib-type="author" equal-contrib="yes" id="author-13304"><name><surname>Islam</surname><given-names>Md Nurul</given-names></name><xref ref-type="aff" rid="aff1"/><xref ref-type="fn" rid="equal-contrib">†</xref><xref ref-type="fn" rid="con2"/><xref ref-type="fn" rid="conf1"/><xref ref-type="other" rid="dataro1"/></contrib><contrib contrib-type="author" id="author-13305"><name><surname>Wright</surname><given-names>Nicholas F</given-names></name><xref ref-type="aff" rid="aff2"/><xref ref-type="fn" rid="con5"/><xref ref-type="fn" rid="conf1"/><xref ref-type="other" rid="dataro1"/></contrib><contrib contrib-type="author" id="author-4421"><name><surname>Vann</surname><given-names>Seralynne D</given-names></name><xref ref-type="aff" rid="aff2"/><xref ref-type="fn" rid="con3"/><xref ref-type="fn" rid="conf1"/><xref ref-type="other" rid="dataro1"/></contrib><contrib contrib-type="author" id="author-13306"><name><surname>Erichsen</surname><given-names>Jonathan T</given-names></name><xref ref-type="aff" rid="aff3"/><xref ref-type="fn" rid="con4"/><xref ref-type="fn" rid="conf1"/><xref ref-type="other" rid="dataro1"/></contrib><contrib contrib-type="author" id="author-13307"><name><surname>Aggleton</surname><given-names>John P</given-names></name><xref ref-type="aff" rid="aff2"/><xref ref-type="fn" rid="con6"/><xref ref-type="fn" rid="conf1"/><xref ref-type="other" rid="dataro1"/></contrib><contrib contrib-type="author" corresp="yes" id="author-10302"><name><surname>O'Mara</surname><given-names>Shane M</given-names></name><xref ref-type="aff" rid="aff1"/><xref ref-type="corresp" rid="cor1">*</xref><xref ref-type="other" rid="par-1"/><xref ref-type="fn" rid="con7"/><xref ref-type="fn" rid="conf1"/><xref ref-type="other" rid="dataro1"/></contrib><aff id="aff1"><institution content-type="dept">Institute of Neuroscience</institution>, <institution>Trinity College Dublin</institution>, <addr-line><named-content content-type="city">Dublin</named-content></addr-line>, <country>Ireland</country></aff><aff id="aff2"><institution content-type="dept">School of Psychology</institution>, <institution>Cardiff University</institution>, <addr-line><named-content content-type="city">Cardiff</named-content></addr-line>, <country>United Kingdom</country></aff><aff id="aff3"><institution content-type="dept">Department of Optometry and Visual Science</institution>, <institution>Cardiff University</institution>, <addr-line><named-content content-type="city">Cardiff</named-content></addr-line>, <country>United Kingdom</country></aff></contrib-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Eichenbaum</surname><given-names>Howard</given-names></name><role>Reviewing editor</role><aff><institution>Boston University</institution>, <country>United States</country></aff></contrib></contrib-group><author-notes><corresp id="cor1"><label>*</label>For correspondence: <email>smomara@tcd.ie</email></corresp><fn fn-type="con" id="equal-contrib"><label>†</label><p>These authors contributed equally to this work</p></fn></author-notes><pub-date date-type="pub" publication-format="electronic"><day>14</day><month>07</month><year>2014</year></pub-date><pub-date pub-type="collection"><year>2014</year></pub-date><volume>3</volume><elocation-id>e03075</elocation-id><history><date date-type="received"><day>13</day><month>04</month><year>2014</year></date><date date-type="accepted"><day>11</day><month>07</month><year>2014</year></date></history><permissions><copyright-statement>© 2014, Jankowski et al</copyright-statement><copyright-year>2014</copyright-year><copyright-holder>Jankowski et al</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This article is distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use and redistribution provided that the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="elife03075.pdf"/><abstract><object-id pub-id-type="doi">10.7554/eLife.03075.001</object-id><p>Discrete populations of brain cells signal heading direction, rather like a compass. These ‘head direction’ cells are largely confined to a closely-connected network of sites. We describe, for the first time, a population of head direction cells in nucleus reuniens of the thalamus in the freely-moving rat. This novel subcortical head direction signal potentially modulates the hippocampal CA fields directly and, thus, informs spatial processing and memory.</p><p><bold>DOI:</bold> <ext-link ext-link-type="doi" xlink:href="10.7554/eLife.03075.001">http://dx.doi.org/10.7554/eLife.03075.001</ext-link></p></abstract><abstract abstract-type="executive-summary"><object-id pub-id-type="doi">10.7554/eLife.03075.002</object-id><title>eLife digest</title><p>Whether it is foraging for food or finding its way back to its nest, an animal often needs to know which direction it is heading in. Some neurons in a mammal’s brain have been shown to act like a compass, and send out nerve impulses whenever the animal points its head in a certain direction. For example, some of these neurons will fire when the animal faces northeast, but not when it faces northwest, and vice versa.</p><p>Importantly these neurons, called ‘head direction’ cells, do not actually measure the Earth's magnetic field. Rather, they respond to information about landmarks in the environment and the animal's movements of its head or body to work out which way the animal is facing.</p><p>Head direction cells are largely found in a closely-connected network of a few sites in the brain. However, Jankowski et al. have now discovered more of these cells in another region found deep within the centre of the brain. Measuring the nerve impulses from these neurons in rats that were moving freely around a test arena revealed that the neurons fired in exactly the same way as some other head direction cells in other regions of the brain. For example, they fired whenever the rat faced one direction, but stopped firing when it turned its head to face another.</p><p>Jankowski et al. showed that the head direction cells in this region of the brain continued to work when the lights were turned off in the test arena, or when the shape of the arena was changed from a circle to a square. These neurons began sending information about head direction as soon as the rat entered the test arena, and many continued to fire when the rat faced the same direction even when they were retested on several different days.</p><p>The head direction cells discovered by Jankowski et al. are connected to another region of the brain that is involved in remembering different locations in the environment and navigating between them. This suggests that these neurons might provide some of the information required to carry out these tasks. It also means that areas of the brain close to those that receive input from the outside world may perform more complex cognitive functions than previously thought.</p><p><bold>DOI:</bold> <ext-link ext-link-type="doi" xlink:href="10.7554/eLife.03075.002">http://dx.doi.org/10.7554/eLife.03075.002</ext-link></p></abstract><kwd-group kwd-group-type="author-keywords"><title>Author keywords</title><kwd>head direction cells</kwd><kwd>neurophysiology</kwd><kwd>synaptic transmission</kwd></kwd-group><kwd-group kwd-group-type="research-organism"><title>Research organism</title><kwd>rat</kwd></kwd-group><funding-group><award-group id="par-1"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100004440</institution-id><institution>Wellcome Trust</institution></institution-wrap></funding-source><award-id>WT092480</award-id><principal-award-recipient><name><surname>O'Mara</surname><given-names>Shane M</given-names></name></principal-award-recipient></award-group><funding-statement>The funder had no role in study design, data collection and interpretation, or the decision to submit the work for publication.</funding-statement></funding-group><custom-meta-group><custom-meta><meta-name>elife-xml-version</meta-name><meta-value>2</meta-value></custom-meta><custom-meta specific-use="meta-only"><meta-name>Author impact statement</meta-name><meta-value>Neurons that provide information about the direction of the head are present in nucleus reuniens and can potentially directly influence spatial processing in the hippocampus.</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Nucleus reuniens (NRe), one of the largest midline thalamic nuclei, receives extensive limbic inputs and provides a bridge linking the hippocampus (especially area CA1) with medial prefrontal cortex (<xref ref-type="bibr" rid="bib8">McKenna and Vertes, 2004</xref>; <xref ref-type="bibr" rid="bib19">Vertes, 2006</xref>; <xref ref-type="bibr" rid="bib11">Prasad and Chudasama, 2013</xref>). Its functions are not well-understood, but it has been suggested that, via these connections, NRe influences memory consolidation for spatial learning and generalisation of fear conditioning (<xref ref-type="bibr" rid="bib5">Eleore et al., 2011</xref>; <xref ref-type="bibr" rid="bib7">Loureiro et al., 2012</xref>; <xref ref-type="bibr" rid="bib20">Xu and Sudhof, 2013</xref>). To elucidate its functions open-field single-unit recordings in NRe of freely-moving rats were made (<xref ref-type="bibr" rid="bib9">Mink et al., 1983</xref>). We have found an unexpected population of NRe cells signalling head direction (HD) in the horizontal plane, independent of location within the test arena. These cells resemble HD cells in the anterodorsal and anteroventral thalamic nuclei (<xref ref-type="bibr" rid="bib12">Shinder and Taube, 2011</xref>; <xref ref-type="bibr" rid="bib17">Tsanov et al., 2011</xref>), the lateral mammillary nucleus (<xref ref-type="bibr" rid="bib16">Taube, 2007</xref>), and certain parahippocampal regions (<xref ref-type="bibr" rid="bib4">Cassel et al., 2013</xref>). NRe cells maintain head directionality during light–dark transitions, and in environments of different shape. These cells establish directionality rapidly upon first entering an environment. NRe has not, to date, been part of the traditional HD circuit, which largely originates in the dorsal tegmental nucleus of Gudden and the lateral mammillary nucleus (<xref ref-type="bibr" rid="bib16">Taube, 2007</xref>; <xref ref-type="bibr" rid="bib4">Cassel et al., 2013</xref>). Subsequent processing is via the anterodorsal thalamic nucleus, dorsal presubiculum, entorhinal cortex and to the hippocampus (<xref ref-type="bibr" rid="bib14">Su and Bentivoglio, 1990</xref>; <xref ref-type="bibr" rid="bib18">Vertes et al., 2007</xref>). Our findings, therefore, reveal a novel head direction signal potentially modulating the hippocampal CA fields and, therefore, hippocampal spatial processing (<xref ref-type="bibr" rid="bib2">Brandon et al., 2013</xref>).</p></sec><sec id="s2" sec-type="results"><title>Results</title><sec id="s2-1"><title>Changing visual conditions from light to dark to light does not affect HD cells</title><p>Lighting conditions were systematically varied across foraging sessions for 10 cells. The animal foraged during light-dark-light sessions (each 20 min). Light removal did not affect NRe head directional activity (<xref ref-type="fig" rid="fig1">Figure 1</xref>).<fig id="fig1" position="float"><object-id pub-id-type="doi">10.7554/eLife.03075.003</object-id><label>Figure 1.</label><caption><title>Head direction cells recorded in the nucleus reuniens.</title><p>(<bold>A</bold>) 18 representative head direction (HD) cells in nucleus reuniens (NRe); (<bold>B</bold>) NRe location on a coronal (left) and corresponding sagittal (right) rat brain section (adapted from <xref ref-type="bibr" rid="bib10">Paxinos and Watson, 2005</xref>); (<bold>C</bold>) representative histological specimen showing electrode track (left); recording positions corresponding to cell locations presented in panel a (upper right inset) showing location of NRe and detailed atlas (lower right inset); (<bold>D</bold>) representative recordings showing multi-day stability of HD cells: a representative cell recorded on each day of 16 days (multiple transitions from light-dark-light, and environmental transformations from circle to square to circle). The solid line is the mean spike waveform and dashed lines are M ± SD of the spike waveform. The green outline shows predicted firing rates given the proportion of time the animal spent looking in each direction, calculated according to the distributive hypothesis.</p><p><bold>DOI:</bold> <ext-link ext-link-type="doi" xlink:href="10.7554/eLife.03075.003">http://dx.doi.org/10.7554/eLife.03075.003</ext-link></p></caption><graphic xlink:href="elife03075f001"/></fig></p></sec><sec id="s2-2"><title>Arena shape does not affect HD cells</title><p>We transformed arena shape (circle-square-circle; <xref ref-type="fig" rid="fig1">Figure 1D</xref>; circle-square; <xref ref-type="fig" rid="fig2">Figure 2A,D</xref>). There was no effect of environmental shape changes on any HD cells (n = 10).<fig id="fig2" position="float"><object-id pub-id-type="doi">10.7554/eLife.03075.004</object-id><label>Figure 2.</label><caption><title>Nucleus reuniens head direction cells do not appear to be spatially modulated and are present from first exposure to the environment.</title><p>(<bold>A</bold> and <bold>D</bold>) Representative waveforms for two units showing, (top to bottom), light-dark-light and circle–square transitions; from left to right, autocorrelation histogram, polar plots, tuning curves for clockwise (CW) vs counter-clockwise (CCW) head movements; (<bold>B</bold>) spatial analysis for cardinal orientations showing no effect of spatial position on unit activity; (<bold>C</bold>) temporal evolution of HD firing for cumulative samples (time ranges: 0–1, 0–2, 0–4, 0–8, 0–16 and 0–20 min) and independent time-binned samples (0–1, 1–2, 2–4, 4–8, 8–16 and 16–20 min) demonstrating that HD activity is present in the first minute of exposure to the arena; (<bold>D</bold>, <bold>E</bold>, <bold>F</bold>) as (<bold>A</bold>, <bold>B</bold>, <bold>C</bold>). Red lines are formed by continuous firing activity when the rat walks with its head directed in the preferred HD. The firing map represents −22.5° to +22.5°; as the ring was formed by eight plots each representing a 45° extent of head direction.</p><p><bold>DOI:</bold> <ext-link ext-link-type="doi" xlink:href="10.7554/eLife.03075.004">http://dx.doi.org/10.7554/eLife.03075.004</ext-link></p></caption><graphic xlink:href="elife03075f002"/></fig></p><p>Transitions between light and dark, arena shape, mean head direction, mean head direction for clockwise and counter-clockwise movement, peak head direction and peak firing rate were compared using t-test for paired two samples for means with Bonferroni correction. No significant differences were observed between conditions.</p></sec><sec id="s2-3"><title>HD cells do not remap across days</title><p>22 cells were recorded across at least 2 consecutive days (15 were recorded for three or more days, and three were stably recorded for 14 or more days. Initial head direction remained stable across days, even for extended recordings), indicating no effect of time or sleep/wake cycle on their preferred directionality.</p></sec><sec id="s2-4"><title>Temporal development of HD cells</title><p><xref ref-type="fig" rid="fig2">Figure 2C,F</xref> depict the temporal evolution of head directional firing for cumulative samples and independent time-binned samples, demonstrating head directional activity is present from the first minute of exposure to the environment (irrespective of environment shape).</p></sec><sec id="s2-5"><title>Separation angle (clockwise vs counter-clockwise) is present</title><p>Separation angle (the offset in mean peak firing rate for clockwise vs counter-clockwise head movements) is present in about 50% of recorded HD cells. There were no significant differences between mean head direction measured in degrees for clockwise and counter-clockwise movement in the <italic>t</italic> test for paired two samples for means in the whole population of HD cells recorded in NRe.</p></sec><sec id="s2-6"><title>Theta-cycle skipping cells do not carry a head-directional signal</title><p>Brandon et al. (<xref ref-type="bibr" rid="bib10">Paxinos and Watson, 2005</xref>) recorded in medial entorhinal cortex (mEC) and found units firing in a fixed synchronous or anti-synchronous relationship with alternate theta cycles. We find a similar population of cells in NRe (see online material (OM) for detailed calculations and <xref ref-type="fig" rid="fig3">Figure 3A,B</xref>). These cells, which do not carry a HD signal, are found only in NRe, providing a physiological marker for electrode depth. The theta skipping index is always positive ([mean ± SD] 0.334 ± 0.127; jump factor: 0.367 ± 0.075; frequency ratio: of 2.00 ± 0.018). Frequencies (mean ± SD) of the higher and lower oscillations were 8.670 ± 0.259 Hz and 4.334 ± 0.112 Hz, respectively.<fig id="fig3" position="float"><object-id pub-id-type="doi">10.7554/eLife.03075.005</object-id><label>Figure 3.</label><caption><title>Theta skipping cells are present in nucleus reuniens.</title><p>(<bold>A</bold> and <bold>B</bold>) 12 representative theta cycle skipping cells which do not carry HD signal recorded in NRe; (<bold>A</bold>) from the left waveform, autocorrelation per 10 ms, interspike interval histogram (ISIH), autocorrelations per 1000 ms with and without fitting to the model, firing intensity map and polar plot are presented for two representative cells. Red line: envelope of the autocorrelation histogram obtained by fitting histogram data to the equation (see OM); (<bold>B</bold>) waveforms, ISIHs, and autocorrelation histograms with redline envelope of data fitting to the equation (OM) for 10 theta cycle skipping cells recorded in NRe.</p><p><bold>DOI:</bold> <ext-link ext-link-type="doi" xlink:href="10.7554/eLife.03075.005">http://dx.doi.org/10.7554/eLife.03075.005</ext-link></p></caption><graphic xlink:href="elife03075f003"/></fig></p></sec><sec id="s2-7"><title>Spatial analyses</title><p>All described HD cells were analysed to test for spatial/place cell modulation (OM). In no case was any spatial modulation of the HD cell signal detected (see, e.g., <xref ref-type="fig" rid="fig2">Figure 2B,E</xref>).</p></sec></sec><sec id="s3" sec-type="discussion"><title>Discussion</title><p>Nucleus Reuniens has been investigated anatomically, but remains largely unexplored electrophysiologically (<xref ref-type="bibr" rid="bib4">Cassel et al., 2013</xref>). The HD cells in NRe share many characteristics of other HD cells, such as those in the anterodorsal and anteroventral thalamic nuclei, the dorsal presubiculum and retrosplenial cortex (<xref ref-type="bibr" rid="bib16">Taube, 2007</xref>). Current theoretical models of HD information suggest that the HD signal derives, in part, from the dorsal tegmental nucleus of Gudden and the lateral mammillary nuclei (<xref ref-type="bibr" rid="bib16">Taube, 2007</xref>; <xref ref-type="bibr" rid="bib4">Cassel et al., 2013</xref>). In addition to projecting to the anterodorsal thalamic nucleus, the lateral mammillary nucleus innervates NRe (<xref ref-type="bibr" rid="bib8">McKenna and Vertes, 2004</xref>). NRe also receives inputs from presubiculum (postsubiculum) and retrosplenial cortex, other sites containing HD cells. This pattern of connectivity suggests various potential sources for the heading information found in NRe. The presence of spatial cells in NRe is highly significant, as it is the major source of direct thalamic projections to the CA fields of the rat hippocampus (<xref ref-type="bibr" rid="bib14">Su and Bentivoglio, 1990</xref>). NRe also receives widespread cortical and limbic inputs, involving both interoceptive and exteroceptive information. This nucleus has a notable role linking medial prefrontal cortex with the hippocampus (<xref ref-type="bibr" rid="bib11">Prasad and Chudasama, 2013</xref>). These NRe HD cells are, therefore, pivotally positioned to influence hippocampal spatial processing directly because of its dense, direct connections with both the prefrontal cortex and hippocampus (<xref ref-type="bibr" rid="bib19">Vertes, 2006</xref>; <xref ref-type="bibr" rid="bib11">Prasad and Chudasama, 2013</xref>). Finally, the theta-skipping cells may provide a pace-maker like function for synchronising some early components of the HD system.</p></sec><sec id="s4" sec-type="materials|methods"><title>Materials and methods</title><sec id="s4-1"><title>Online data archive</title><p>The data from which this paper was generated are archived at doi: 10.5061/dryad.j68v0 and may be accessed via <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5061/dryad.j68v0">http://dx.doi.org/10.5061/dryad.j68v0</ext-link>.</p></sec><sec id="s4-2"><title>Rats</title><p>Eleven (4–6 months) male Lister-Hooded rats (B&K, UK) weighing 420–530 g were used. Upon arrival, animals were housed individually and handled by the experimenter daily for a week before being trained in the pellet-chasing task (see below). Rats were food-restricted to 85% of their <italic>ad libitum</italic> body weight and kept in a temperature-controlled laminar airflow unit and maintained on a 12-hr light/dark cycle (lights on from 08:00 to 20:00 hr). Experiments were carried out in strict accordance with regulations laid out by LAST Ireland and were compliant with the European Union directives on animal experimentation (86/609/EEC).</p></sec><sec id="s4-3"><title>Behavioural testing</title><p>Experiments were conducted in a circular arena (diameter 96 cms) and square arena (60 × 60 cm). The insides of the arenas were a uniform matt black, and low-level lighting was used during light testing; all lights were extinguished during dark testing. All experiments were conducted during the day between 0900 and 2000 hr. Session lengths were typically 20 min duration. Rats performed a pellet-chasing task during the course of the experiments. During testing, 20 mg food pellets (TestDiet, 5TUL formula) were thrown in the arena at random locations ca. every 20 s. During the weeks of recordings, animals were allowed 20 g of food daily. The environment is partially curtained with a visual cue card in a constant location. We leave the rat in the environment during the LDL transitions.</p></sec><sec id="s4-4"><title>In vivo electrophysiology and surgery</title><p>Detailed descriptions of the surgical protocol and recording techniques can be found elsewhere (<xref ref-type="bibr" rid="bib3">Brotons-Mas et al., 2010</xref>; <xref ref-type="bibr" rid="bib17">Tsanov et al., 2011</xref>). Briefly, rats were implanted with tetrodes of either four or eight bundles of ø 25 µm platinum–iridium wires (California Fine Wire Ltd., USA) mounted onto small driveable microdrives (Axona Ltd., UK) at the following coordinates targeted at the nucleus reuniens (see <xref ref-type="fig" rid="fig1">Figure 1</xref> for histological verification): −1.60 mm posterior to bregma, −1.20 mm lateral to the midline and at angle of about 5.5°. Depth varied depending on the target structure and ranged from 4.8 to 5.6 mm below the brain surface (<xref ref-type="fig" rid="fig1">Figure 1</xref>; <xref ref-type="bibr" rid="bib10">Paxinos and Watson, 2005</xref>). Rats were allowed at least 1 week of recovery post-surgery. Tetrodes were lowered slowly through the brain (maximal rates 25–50 µm/day), typically over a period of weeks to prevent tissue damage and to ensure successful NRe electrode targeting and penetration. Based on the daily record of the electrode position and post-mortem histological verification, each recording could be located along the tetrode trace. The recording sessions took place in arenas located in the centre of the test room, which contained multiple, large visual cues made salient to allow the animals to orient themselves in the environment. An example of a NRe HD cell is provided in <xref ref-type="other" rid="video1">Video 1</xref>.<media content-type="glencoe play-in-place height-250 width-310" id="video1" mime-subtype="mp4" mimetype="video" xlink:href="elife03075v001.mp4"><object-id pub-id-type="doi">10.7554/eLife.03075.006</object-id><label>Video 1.</label><caption><title>An example of a well-discriminated head direction unit recorded in NRe while the rat is engaged in pellet chasing in a circular arena.</title><p>The unit corresponds to unit 4 of <xref ref-type="fig" rid="fig1">Figure 1A</xref>.</p><p><bold>DOI:</bold> <ext-link ext-link-type="doi" xlink:href="10.7554/eLife.03075.006">http://dx.doi.org/10.7554/eLife.03075.006</ext-link></p></caption></media></p></sec><sec id="s4-5"><title>Recording and statistical analysis</title><p>Standard statistical testing used Matlab scripts and Axona software. Unit identification involved several criteria. First, neurons had to be active in all conditions and had to present the same waveform characteristics (amplitude, height, and duration) in those conditions. Furthermore, units had to demonstrate a clean refractory period (>2 ms) in the inter-spike interval (ISI) histogram. Units were sorted using conventional cluster-cutting techniques and classified by the environmental manipulation to which they were exposed. Once well-defined neuronal signals were isolated and the rats explored the arena sufficiently (rats had to explore at least 90% of the open field in either session to be included in analysis to allow reliable calculation of spatial characteristics), recording commenced.</p><p>In total, 758 well-isolated units were recorded in 3 rats in NRe and the adjacent anteromedial thalamic nucleus (AM). After post-mortem histological verification, 483 cells were assigned to NRe. To select animals for analysis we set following criteria: histologically-verified electrodes should be placed in the lateral part of nucleus reuniens, therefore bypassing laterally the Rhomboid nucleus, avoiding the possibility that by mistake some cells would be wrongly assigned to NRe or the Rhomboid nucleus. Further, an observed electrophysiological criterion required co-localised HD cells and theta skipping cells in NRe. We did recordings in many animals in surrounding nuclei but as described in the present paper theta skipping cells are characteristic only for NRe, are electrophysiologically colocalised with HD cells therefore can serve as an electrophysiological marker of lateral part of NRe. Electrode tracks were localised predominantly in the lateral portion of NRe. The numbers and percentages of cells recorded in NRe were: 42 HD cells (8.7%); 19 theta cycle skipping cells (3.9%; these cells characteristically appeared in NRe, electrophysiologically co-localised with HD cells); 55 other theta modulated cells (11.3%); 23 fast firing cells (4.7%); 21 weakly-theta modulated cells (4.3%); 13 other spatially-tuned cells (2.2%). 309 cells (63.9%) were classified as unidentified low firing units–cells that did not exhibit any particular temporal or spatial properties or formed groups smaller than four cells with similar phenotype. Among unidentified low firing units 53 cells fired with maximum frequency lower than 1 Hz.</p></sec><sec id="s4-6"><title>Head direction analyses</title><p>Directional analyses were performed for all recorded cells in nucleus reuniens, 42 units in total). The rat's HD was calculated for each tracker sample from the projection of the relative position of the LEDs onto the horizontal plane. The directional tuning function for each cell was obtained by plotting the firing rate as a function of the rat's directional heading, divided into bins of 5°. The firing rate was computed based on the total number of spikes divided by the total time in that bin (<xref ref-type="bibr" rid="bib15">Taube et al., 1990</xref>). To restrict the influence of inhomogeneous sampling on directional tuning, we accepted data only if all directional bins were sampled by the rat. The directionality of the HD units in the horizontal plane (measured in degrees) was normalized for comparison of the HD firing rate properties. The peak firing rate of cells that respond to different direction of heading was aligned to a HD of 180° (<xref ref-type="bibr" rid="bib1">Bassett et al., 2005</xref>). The firing rate was normalized (with values between 0 and 1) with respect to the peak firing rate for each unit (<xref ref-type="bibr" rid="bib1">Bassett et al., 2005</xref>). The firing rate is calculated by dividing the number of spikes by the number of visits at a particular head direction bin. The CW/CCW separation was calculated by considering a particular angular head velocity threshold (120°/s). When the rat moves at +120°/s, it was placed into the CW head direction category (similarly, for CCW, −120°/s). If it coincidentally happens that spikes occur at a lower rate during slower head movements, the visit count will increase in the non-separating case, the spike count will be relatively decreased (causing a decrease in the firing rate compared to the CW/CCW separation).</p></sec><sec id="s4-7"><title>Spatial analyses</title><p>Additional analyses examined for spatial modulation of these cells. The spatial specificity (or spatial information content) is expressed in bits per spike (<xref ref-type="bibr" rid="bib13">Skaggs et al., 1996</xref>). Place field size is computed as the region of the arena in which the firing rate of the place cell is above 20% of the maximum firing frequency (<xref ref-type="bibr" rid="bib6">Hollup et al., 2001</xref>). A place field was identified if nine neighbouring pixels (sharing a side) were above 20% of the peak firing rate. Place field size was represented in number of pixels. The spatial selectivity of a firing field (ratio of maximal signal to noise) was calculated by dividing the firing rate of the cell in the bin with the maximum average rate by its mean firing rate over the entire apparatus (<xref ref-type="bibr" rid="bib13">Skaggs et al., 1996</xref>). Average frequency is the total number of spikes divided by the total recording time and is expressed in Hz. Where recordings were conducted on successive days, units were matched based on their spike amplitude, height, and spike duration with the respective units from the control recording. Exploration was assessed by comparing the occupancy of bins and the number of visits per bin between the two recording conditions.</p><sec id="s4-7-1"><title>Autocorrelation histograms</title><p>Autocorrelation histograms of the ISI distribution were obtained for ISI lags of −1000 ms to +1000 ms between spikes with 1 ms-wide bins. The non-normalized autocorrelation signal was fitted to <xref ref-type="disp-formula" rid="equ1">Equation 1</xref> (an extended form of the one used by <xref ref-type="bibr" rid="bib2">Brandon et al. (2013)</xref>).<disp-formula id="equ1"><mml:math id="m1"><mml:mrow><mml:mi>y</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:mo>[</mml:mo><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mi>cos</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>ω</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mi>x</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mi>cos</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>ω</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mi>x</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mo>]</mml:mo></mml:mrow><mml:mo>×</mml:mo><mml:mtext>exp</mml:mtext><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mo>−</mml:mo><mml:mfrac><mml:mrow><mml:mrow><mml:mo>|</mml:mo><mml:mi>x</mml:mi><mml:mo>|</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>+</mml:mo><mml:mi>b</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi>c</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mtext>exp</mml:mtext><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mo>−</mml:mo><mml:mfrac><mml:mrow><mml:mrow><mml:mo>|</mml:mo><mml:mi>x</mml:mi><mml:mo>|</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>−</mml:mo><mml:msub><mml:mi>c</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mtext>exp</mml:mtext><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mo>−</mml:mo><mml:mfrac><mml:mrow><mml:mrow><mml:mo>|</mml:mo><mml:mi>x</mml:mi><mml:mo>|</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math></disp-formula>Here, <italic>y</italic> is the autocorrelation signal, <italic>x</italic> is the lag, a<sub>1</sub> and a<sub>2</sub> are the amplitude of the oscillating terms with frequency <italic>ω</italic><sub>1</sub> and <italic>ω</italic><sub>2</sub> modulated by exponential with decay constant <italic>τ</italic><sub>1</sub>.The terms <italic>τ</italic><sub>2</sub> and <italic>τ</italic><sub>3</sub> are the decay constants for the exponentials with amplitude <italic>c</italic><sub>1</sub> and <italic>c</italic><sub>2</sub>. The parameters <italic>a</italic><sub>1</sub>, <italic>a</italic><sub>2</sub>, <italic>b</italic>, <italic>c</italic><sub>1</sub> and <italic>c</italic><sub>2</sub> were allowed to vary in the range [0, N], where N is the peak of the autocorrelation signal. The range of decay constants are, <italic>τ</italic><sub>1</sub> = [0, 5000], <italic>τ</italic><sub>2</sub> = [0, 100], <italic>τ</italic><sub>3</sub> = [0, 10] in millisecond unit. <italic>ω</italic><sub>1</sub> and <italic>ω</italic><sub>2</sub> were varied in the range [12π, 24π] and [6π, 12π], respectively.</p><p>Assuming spikes were generated following a Poisson process, the ISI was considered to follow an exponential distribution, which also gives an exponential distribution in its autocorrelation, represented in <xref ref-type="disp-formula" rid="equ1">Equation 1</xref> by the positive exponential component comprised of (<italic>c</italic><sub>1</sub>, <italic>τ</italic><sub>2</sub>). The initial dip in the autocorrelation for the refractory period in the ISI was given by the fast-decaying negative exponential (<italic>c</italic><sub>2</sub>, <italic>τ</italic><sub>3</sub>). The alternating low and high peaks are modelled as the superposition of two oscillations, given by two slow decaying cosine functions, as if the high peaks are generated when the oscillations are in the same-phase and the low peaks are generated when they are in anti-phase. The baseline shifts for the cosine terms and all the constant errors are interpreted in constant <italic>b</italic>. <xref ref-type="disp-formula" rid="equ1">Equation 1</xref> does not hold the prior assumption that one of the periodic functions oscillates exactly at half-frequency of the other, as others have assumed (<xref ref-type="bibr" rid="bib2">Brandon et al., 2013</xref>). The curve fitting followed the measurement of ‘jump factor’, defined as the relative contribution of the low frequency components in the higher peaks given by <italic>a</italic><sub>2</sub>/(<italic>a</italic><sub>1</sub> + <italic>a</italic><sub>2</sub>). Frequency ratios of the cosine functions were also measured to verify the superposition model of the <xref ref-type="disp-formula" rid="equ1">Equation 1</xref>. Theta cycle skipping index, TS was measured by Equation 4; <xref ref-type="bibr" rid="bib2">Brandon et al., 2013</xref>.</p><p>As described (<xref ref-type="bibr" rid="bib2">Brandon et al., 2013</xref>), TS range should be [−1 to +1]. A positive TS is present if the second peak after the centre peak is larger than the first one; a negative TS is not expected according to the model in <xref ref-type="disp-formula" rid="equ1">Equation 1</xref> if it is fitted for the theta-skipping cycle cell with an alternative low and high peaks and low peaks appearing first after the centre peak. We did not find any negative TSs (as can be seen in the raw autocorrelograms; see supplementary figures). The greater the TS, the greater the larger peak is jumped from the theta-modulated signal, caused by the interference of the second oscillation. We measured this effect with an alternative index ‘jump factor’ defined as <italic>a</italic><sub>2</sub>/(<italic>a</italic><sub>1</sub>+ <italic>a</italic><sub>2</sub>), which provides a direct measurement of the relative contribution of the two oscillations. A jump factor >0.5 means the contribution of the slow varying interfering oscillation in the jump is greater than the theta-range oscillation. If the frequency ratio follows a 2:1 ratio (or closer), then the mathematical basis of using two cosine functions of different frequency ranges to obtain consecutive in-phase or anti-phase superposition to yield lower and higher peaks respectively, is verified.</p></sec></sec><sec id="s4-8"><title>Histological analyses</title><p>On completion of the recording studies, the rats received an overdose of anaesthetic (1.5 g of urethane (Sigma-Aldrich, Dublin, Ireland) dissolved in 4.5 ml water) and were then perfused intracardially with 250 ml of 0.1 M phosphate-buffered saline (PBS) at room temperature followed by 350 ml of 4% paraformaldehyde in 0.1 M PBS at ∼4°C, after which the brains were removed and placed in 4% paraformaldehyde (for at least 72 hr). Brains were blocked, placed on a freezing platform, and 40 µm coronal sections were cut with a sledge microtome (Leica 1400). Two, alternate series that used all sections were taken through the rostral thalamus. One series was mounted directly onto gelatine-subbed slides, and then allowed to dry overnight before staining with cresyl violet, a Nissl stain. The second series was immunologically reacted with the neuronal marker α-NeuN (MAB 377; Chemicon, Watford, UK), then with a secondary horse anti-mouse rat adsorbed antibody (AI-2001; Vector Laboratories Ltd, Peterborough, UK) and subsequently visualised with Vector Elite ABC (PK-6100; Vector Laboratories Ltd) and diaminobenzidine. A Leica DM5000B microscope with Leica DFC310FX digital camera and Leica Application Suite image acquisition software was used for brightfield microscopy. NeuN provides a stain assumed to be selective for neurons, that is it does not label glial cells. As a consequence it can sometimes make it easier to see underlying cytoarchtectonic features.</p><p>Recording positions were determined by calculating distance above the deepest electrode position, and calculating distance below the first penetration into the tissue. The electrodes often caused tissue distortion and this was carefully allowed for in the position calculations. Positions of recorded cells were estimated as follows: theoretical positions of electrodes tips and NRe borderlines were estimated by reference to atlas (<xref ref-type="bibr" rid="bib10">Paxinos and Watson, 2005</xref>) and reconstructed histological specimens. The electrodes sometimes caused tissue distortion even with very slow penetrations, and this was allowed for in the position calculations. The position of electrodes below brain surface was known for each recording session and expressed in µm, thereby allowing estimates of each cell position to be derived.</p></sec></sec></body><back><ack id="ack"><title>Acknowledgements</title><p>This work was supported by The Wellcome Trust.</p></ack><sec sec-type="additional-information"><title>Additional information</title><fn-group content-type="competing-interest"><title>Competing interests</title><fn fn-type="conflict" id="conf1"><p>The authors declare that no competing interests exist.</p></fn></fn-group><fn-group content-type="author-contribution"><title>Author contributions</title><fn fn-type="con" id="con1"><p>MMJ, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article</p></fn><fn fn-type="con" id="con2"><p>MNI, Analysis and interpretation of data, Drafting or revising the article</p></fn><fn fn-type="con" id="con3"><p>SDV, Analysis and interpretation of data, Drafting or revising the article</p></fn><fn fn-type="con" id="con4"><p>JTE, Analysis and interpretation of data, Drafting or revising the article</p></fn><fn fn-type="con" id="con5"><p>NFW, Analysis and interpretation of data</p></fn><fn fn-type="con" id="con6"><p>JPA, Conception and design, Analysis and interpretation of data, Drafting and revising the article</p></fn><fn fn-type="con" id="con7"><p>SMO'M, Conception and design, Analysis and interpretation of data, Drafting and revising the article</p></fn></fn-group><fn-group content-type="ethics-information"><title>Ethics</title><fn fn-type="other"><p>Animal experimentation: Experiments were conducted in accordance with European Community directive, 86/609/EC, and the Cruelty to Animals Act, 1876, and followed Bioresources Ethics Committee, Trinity College, Dublin, Ireland, as well as LAST Ireland and international guidelines of good practice. Surgery was conducted under ketamine/xylazine anaesthesia, an appropriate post-surgery monitoring and analgesia regime was in place, and every effort was made to minimize suffering.</p></fn></fn-group></sec><sec sec-type="supplementary-material"><title>Additional files</title><sec sec-type="datasets"><title>Major dataset</title><p>The following dataset was generated:</p><p><related-object content-type="generated-dataset" document-id="Dataset ID and/or url" document-id-type="dataset" document-type="data" id="dataro1"><name><surname>Jankowski</surname><given-names>MM</given-names></name>, <name><surname>Islam</surname><given-names>MN</given-names></name>, <name><surname>Wright</surname><given-names>NF</given-names></name>, <name><surname>Vann</surname><given-names>SD</given-names></name>, <name><surname>Erichsen</surname><given-names>JT</given-names></name>, <name><surname>Aggleton</surname><given-names>JP</given-names></name>, <name><surname>O'Mara</surname><given-names>SM</given-names></name>, <year>2014</year><x>, </x><source>Data from: Nucleus Reuniens of the Thalamus Contains Head Direction Cells</source><x>, </x><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5061/dryad.j68v0">http://dx.doi.org/10.5061/dryad.j68v0</ext-link><x>, </x><comment>Available at Dryad Digital Repository under a CC0 Public Domain Dedication.</comment></related-object></p></sec></sec><ref-list><title>References</title><ref id="bib1"><element-citation publication-type="journal"><person-group 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An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see <ext-link ext-link-type="uri" xlink:href="http://elifesciences.org/review-process">review process</ext-link>). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.</p></boxed-text><p>Thank you for sending your work entitled “Nucleus Reuniens of the Thalamus Contains Head Direction Cells” for consideration at <italic>eLife</italic>. Your article has been favorably evaluated by Eve Marder (Senior editor) and 3 reviewers, one of whom is a member of our Board of Reviewing Editors, and one of whom, Bruno Poucet, has agreed to reveal his identity.</p><p>The Reviewing editor and the other reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.</p><p>The authors report the existence of head direction (HD) cells in nucleus reuniens (NRe) of rats exploring an arena. Their conclusion is that, because this thalamic nucleus is in a strategic position between the medial prefrontal cortex (mPFC) and the hippocampus, these HD cells might provide the hippocampus with directional information that orients the hippocampal map. This is therefore an original and important finding. The paper is concise and provides most of the information required to understand and interpret the main results. It is clearly accessible and should be of interest to researchers studying the neural circuits of spatial information processing.</p><p>Major concerns:</p><p>1) Are these cells pure HD cells or are they better described as place x HD cells, which have been reported in other brain areas as well, most notably by Cacucci et al. (2004, J Neurosci). Looking at the two cells displayed in <xref ref-type="fig" rid="fig2">Figure 2</xref>, both cells appear to be more place x HD cells than just HD cells. This is particularly true for the cell depicted in E. Upon further perusal of the 18 cells depicted in <xref ref-type="fig" rid="fig1">Figure. 1A</xref>, most of them can be more described as place x HD cells than pure HD cells. The authors need to examine this possibility more critically.</p><p>2) While these results are interesting, they are difficult to place in context in terms of their functional significance. Little is known about the nucleus reuniens and it is not traditionally associated with other areas where HD cells have previously been reported. Although a little information is provided about the anatomical connections and functional significance of the reuniens nucleus, but the manuscript would be improved if a little more information along these lines was provided. This will aid in putting into context the significance of the current findings. Also, it is not clear how these signals contribute to spatial or other information processing, or whether these cells could have very different properties if the animal was, for example, learning something. Similarly, there is a description of theta-skipping cells, and nothing is said about how these might contribute.</p><p>3) <xref ref-type="fig" rid="fig2">Figure 2</xref>: The firing rate maps in B and E appear distorted in shape (not true circles). At first I thought that this may be due to the fact that the animal would have difficulty getting into certain positions with its head oriented one way. This aspect is very evident in the original HD papers by Taube et al. (1990, J Neurosci). However, the center map should not show this distortion, but it does. Thus, this calls into question somewhat the accuracy of the different orientation maps because there really should be a zone for each map where the animal should have difficulty getting into certain HD orientations at specific locations in the arena. This area of difficulty should shift from map to map as reported in the Taube et al. paper. Why doesn't this occur in these maps?</p><p>4) The characterization of these cells is very good, but we are not provided with any information about how prevalent they are in this nucleus, and it would help to have comparisons of their prevalence in n. reunions and other brain areas.</p></body></sub-article><sub-article article-type="reply" id="SA2"><front-stub><article-id pub-id-type="doi">10.7554/eLife.03075.008</article-id><title-group><article-title>Author response</article-title></title-group></front-stub><body><p><italic>1) Are these cells pure HD cells or are they better described as place x HD cells, which have been reported in other brain areas as well, most notably by Cacucci et al. (2004, J Neurosci). Looking at the two cells displayed in</italic> <xref ref-type="fig" rid="fig2"><italic>Figure 2</italic></xref><italic>, both cells appear to be more place x HD cells than just HD cells. This is particularly true for the cell depicted in E. Upon further perusal of the 18 cells depicted in</italic> <xref ref-type="fig" rid="fig1"><italic>Figure. 1A</italic></xref><italic>, most of them can be more described as place x HD cells than pure HD cells. The authors need to examine this possibility more critically</italic>.</p><p>This is an issue we have also spent a considerable amount of time on, in order to ensure that we have represented the data appropriately. Each individual circle in the outer ring of <xref ref-type="fig" rid="fig2">Figure 2E</xref> shows the firing intensity map at the corresponding head direction. If the cell is HDxPlace, then the firing intensity map would/should show focused activity at particular directions that would vary systematically, instead of showing distributed activity (Cho and Sharp 2001, Sharp 1996). As the cell fires only in a range of directions, the firing map shows the activity in the entire arena/or most of it only at that direction range. Other places remain mostly inactive, and thus we conclude that these cells are almost purely HD cells. Furthermore these cells do not form place fields in the standard analysis – as described in the Methods section. We have checked Cacucci et al., 2004, J Neurosci, <ext-link ext-link-type="uri" xlink:href="http://www.jneurosci.org/content/24/38/8265.full.pdf">http://www.jneurosci.org/content/24/38/8265.full.pdf</ext-link>); they used the same analysis but their results appear to differ to ours - there is constant place representation. It is possible that there is a residual place representation here, but statistically current methods do not detect it.</p><p><italic>2) While these results are interesting, they are difficult to place in context in terms of their functional significance. Little is known about the nucleus reuniens and it is not traditionally associated with other areas where HD cells have previously been reported. Although a little information is provided about the anatomical connections and functional significance of the reuniens nucleus, but the manuscript would be improved if a little more information along these lines was provided. This will aid in putting into context the significance of the current findings. Also, it is not clear how these signals contribute to spatial or other information processing, or whether these cells could have very different properties if the animal was, for example, learning something. Similarly, there is a description of theta-skipping cells, and nothing is said about how these might contribute</italic>.</p><p>We now add a sentence to the Discussion to provide contextual information:</p><p>“These NRe HD cells are, therefore, pivotally positioned to influence hippocampal spatial processing directly because of its dense, direct connections with both the prefrontal cortex and hippocampus(<xref ref-type="bibr" rid="bib19">Vertes, 2006</xref>; <xref ref-type="bibr" rid="bib11">Prasad and Chudasama, 2013</xref>). Finally, the theta-skipping cells may provide a pace-maker like function for synchronising some early components of the HD system.”</p><p><italic>3)</italic> <xref ref-type="fig" rid="fig2"><italic>Figure 2</italic></xref><italic>: The firing rate maps in B and E appear distorted in shape (not true circles). At first I thought that this may be due to the fact that the animal would have difficulty getting into certain positions with its head oriented one way. This aspect is very evident in the original HD papers by Taube et al. (1990, J Neurosci). However, the center map should not show this distortion, but it does. Thus, this calls into question somewhat the accuracy of the different orientation maps because there really should be a zone for each map where the animal should have difficulty getting into certain HD orientations at specific locations in the arena. This area of difficulty should shift from map to map as reported in the Taube et al. paper</italic>. <italic>Why doesn't this occur in these maps?</italic></p><p>We thank the referees for spotting this. These maps were deformed slightly by an auto-setting in Corel during preparation of the Figure and the corrected map is now presented.</p><p><italic>4) The characterization of these cells is very good, but we are not provided with any information about how prevalent they are in this nucleus, and it would help to have comparisons of their prevalence in n. reunions and other brain areas</italic>.</p><p>The information about prevalence of cells is now detailed in the ‘Recording and statistical analysis’ section. The issue of prevalence with other brain areas is a more difficult issue to deal with in the limited space we have available, but we do agree that it is an important issue (especially for theoretical model-building reasons).</p></body></sub-article></article>