<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Arthur Bertin Barraud | Laurent Perrinet</title><link>https://laurentperrinet.github.io/author/arthur-bertin-barraud/</link><atom:link href="https://laurentperrinet.github.io/author/arthur-bertin-barraud/index.xml" rel="self" type="application/rss+xml"/><description>Arthur Bertin Barraud</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><copyright>This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License Please note that multiple distribution, publication or commercial usage of copyrighted papers included in this website would require submission of a permission request addressed to the journal in which the paper appeared.</copyright><image><url>https://laurentperrinet.github.io/author/arthur-bertin-barraud/avatar_hu_bc524c52c9c800be.jpg</url><title>Arthur Bertin Barraud</title><link>https://laurentperrinet.github.io/author/arthur-bertin-barraud/</link></image><item><title>Arthur Bertin Barraud</title><link>https://laurentperrinet.github.io/author/arthur-bertin-barraud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/author/arthur-bertin-barraud/</guid><description>&lt;h1 id="centuri-phd-student-2026-10--2029-09-neuromodulatory-control-of-predictive-processing-in-visual-cortical-circuits"&gt;CENTURI PhD Student (2026-10 / 2029-09): Neuromodulatory control of predictive processing in visual cortical circuits&lt;/h1&gt;
&lt;ul&gt;
&lt;li&gt;Thesis director: &lt;a href="https://laurentperrinet.github.io/author/ede-rancz/" target="_blank" rel="noopener"&gt;Dr. Ede Rancz&lt;/a&gt;, Mediterranean Institute of Neurobiology (INMED), Marseille&lt;/li&gt;
&lt;li&gt;Thesis co-director: Dr. Laurent Perrinet, Institut de Neurosciences de la Timone (INT)&lt;/li&gt;
&lt;li&gt;Full project description: &lt;a href="https://centuri-livingsystems.org/wp-content/uploads/2025/11/PHD2026_19_RANCZ_PERRINETpub.pdf" target="_blank" rel="noopener"&gt;CENTURI PHD2026-19 proposal&lt;/a&gt;, see also the &lt;a href="https://laurentperrinet.github.io/post/2026-01-28_phd-position_neuromodulatory-predictive-processing/" target="_blank" rel="noopener"&gt;announcement&lt;/a&gt;.&lt;/li&gt;
&lt;li&gt;This position is funded by the &lt;a href="https://centuri-livingsystems.org/application-form-phd2026-19/" target="_blank" rel="noopener"&gt;Turing Centre for Living Systems (CENTURI)&lt;/a&gt; PhD call.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;The brain constantly generates internal models to predict sensory input, and perception arises from comparing these predictions with external reality—a process best understood as predictive processing. How this computation is implemented and regulated in cortical circuits remains unknown. This PhD project will explore how serotonin and norepinephrine—key modulators of mood, arousal, and attention—shape predictive processing in the mouse visual cortex.&lt;/p&gt;
&lt;p&gt;The candidate will combine computational modelling (Perrinet lab, INT) and experimental neuroscience (Rancz lab, INMED) to link theory and physiology. Biologically realistic spiking and normative models will generate testable predictions, validated through in vivo electrophysiology, imaging, and optogenetic manipulation during sensory-motor mismatch tasks.&lt;/p&gt;
&lt;p&gt;This iterative model–experiment approach will reveal how neuromodulators balance internal predictions with sensory evidence, providing insight into the healthy brain and a foundation for understanding its dysfunction in mental disorders.&lt;/p&gt;
&lt;h1 id="education"&gt;Education&lt;/h1&gt;
&lt;h2 id="master-2-computational-and-mathematical-biology-cmb-2025-2026"&gt;Master 2 Computational and Mathematical Biology (CMB), 2025-2026&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Institution: Aix-Marseille Université, Faculté des Sciences de Luminy; the programme is the Computational and Mathematical Biology track of the Master in Integrative Biology and Physiology, run with the Turing Centre for Living Systems (CENTURI).&lt;/li&gt;
&lt;li&gt;Result: ranked first of a cohort of 8 students, with an average of 16.415/20.&lt;/li&gt;
&lt;li&gt;Head of the master: Florence Hubert.&lt;/li&gt;
&lt;li&gt;Source: certificate issued on 2026-02-20 by the head of the master.&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>