<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Orientation-Maps | Laurent Perrinet</title><link>https://laurentperrinet.github.io/tag/orientation-maps/</link><atom:link href="https://laurentperrinet.github.io/tag/orientation-maps/index.xml" rel="self" type="application/rss+xml"/><description>Orientation-Maps</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><lastBuildDate>Sat, 05 Feb 2022 00:00:00 +0000</lastBuildDate><image><url>https://laurentperrinet.github.io/media/icon_hu_f2990a9a83ba401.png</url><title>Orientation-Maps</title><link>https://laurentperrinet.github.io/tag/orientation-maps/</link></image><item><title>Revisiting Horizontal Connectivity Rules in V1: From like-to-like towards like-to-All</title><link>https://laurentperrinet.github.io/publication/chavane-22/</link><pubDate>Sat, 05 Feb 2022 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/chavane-22/</guid><description>&lt;p&gt;
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&lt;a href="https://laurentperrinet.github.io/talk/2025-02-11-neuromath/" &gt;When Cortical Neurons Talk Sideways: Beyond Feedforward Visual Processing&lt;/a&gt;
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&lt;p&gt;In this seminar we will challenge the traditional understanding of neuronal connectivity in primary visual cortex. While current theory suggests that neurons connect preferentially to others with similar orientation preferences, I will present evidence for a more complex connectivity pattern based on a distance-dependent rule: short-range connections show a like-to-like bias, while long-range connections connect more widely. This revised model better explains how the visual cortex processes complex stimuli and accounts for observed variations in neuronal interactions at different scales.&lt;/p&gt;
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&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
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2025-02-11
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