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<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">A 4-year fully-funded PhD studentship project with Professor Mark Humphries and Professor
Stephen Coombes is </span><span style="letter-spacing: normal; font-family: Verdana, sans-serif; font-size: 13.3333px; font-weight: 400; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);">available for October 2024 start, through the University of
Nottingham's BBSRC Doctoral Training Programme.</span></div>
<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><br>
</span></div>
<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">The striatum is central to an extraordinary range of disorders, from Parkinson's disease
to OCD, but our best models for its function are outdated and contradicted by recent data. In this project, we will test the hypothesis that the striatum is a special class of recurrent neural networks (RNNs) that use purely inhibitory connections. We will
build and analyse this class of networks, deriving predictions for the computations that striatum performs, and for the activity of neuron populations in the striatum. We will then test these predictions in two large-scale datasets of population recordings
from striatum in freely-exploring mice from the studies of Klaus et al (Neuron, 2017) and Markowitz et al (Cell, 2018).</span></div>
<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><br>
</span></div>
<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">The DTP offers 2 lab rotations and wide-ranging training modules. If successful, the
PhD student will join the Humphries' lab ( <a href="https://www.humphries-lab.org/" id="LPlnk129980">
https://www.humphries-lab.org/</a>) and be part of the School of Psychology's extensive postgraduate support network.</span></div>
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<div class="elementToProof"><span style="letter-spacing: normal; font-family: Verdana, sans-serif; font-size: 10pt; font-weight: 400; color: black;">Closing date:12 noon (GMT) Friday 12<sup>th</sup> January 2024. </span></div>
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<span style="letter-spacing: normal; font-family: Verdana, sans-serif; font-size: 10pt; font-weight: 400; color: black;">For full studentship details and how to apply see here:
</span><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><a href="https://www.nottingham.ac.uk/bbdtp/apply/how-to-apply.aspx" id="LPlnk" class="OWAAutoLink" data-loopstyle="linkonly" style="margin-top: 0px; margin-bottom: 0px;">https://www.nottingham.ac.uk/bbdtp/apply/how-to-apply.aspx</a></span></p>
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<p style="margin-top: 0px; margin-bottom: 0px;">Professor Mark Humphries | Professor of Computational Neuroscience</p>
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<div>Lab: <a href="https://www.humphries-lab.org/" id="OWA160c8fe7-0217-68e9-b491-1fbcc451472d" class="OWAAutoLink" data-loopstyle="linkonly">
humphries-lab.org</a></div>
<div><span style="font-family: Calibri; font-size: 12pt; color: rgb(0, 0, 0);"><br>
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<div><span style="font-family: Calibri; font-size: 12pt; color: rgb(0, 0, 0);">Twitter:
</span><span style="font-family: Calibri; font-size: 12pt; color: rgb(0, 102, 204);"><u>@markdhumphries</u></span><br>
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<div>Public blog: <a href="https://medium.com/the-spike" id="OWAe272d30f-9adb-9583-499e-e8a000abdf75" class="OWAAutoLink" data-loopstyle="linkonly">
https://medium.com/the-spike</a></div>
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<div>Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback:
<a href="https://press.princeton.edu/books/paperback/9780691241487/the-spike" id="OWA8412cc8b-4e0a-4956-90d3-db3d4178e168" class="OWAAutoLink" data-loopstyle="linkonly">
https://press.princeton.edu/books/paperback/9780691241487/the-spike</a></div>
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