area-v1

This is 40th edition of Dynamicsdays Nice, 23-27 August 2021 - https://dynamicsdays2021.univ-cotedazur.fr check out the book of abstracts In this talk, we will present the following paper : Preliminary Program: Bruno Cessac, The Retina as a Dynamical System Hugo Ladret & Laurent Perrinet, Dynamics of the processing of orientation precision in the primary visual cortex Gianluigi Mongillo, Glassy phase in dynamically balanced networks Romain Veltz, Spatial and color hallucinations in a mathematical model of primary visual cortex

As presented during the NeuroFrance 2021 meeting now (2:00 PM - 3:00 PM CEST on Thursday, May 20), you can hear Hugo Ladret @univamu present his poster P4.47 "Processing of orientation precision in the primary visual cortex"https://t.

Interested in understanding how the precision of visual features may be encoded in the brain? Come see @hugoladret poster P538.07 at virtual #SfN21 @SfNtweets https://t.co/yxU58qEMFo It's today November 8, 2021, 1:30 PM CST / 8:30 PM CET - details 👉 https://t.

Find the text at https://laurentperrinet.github.io/Perrinet20PredictiveProcessing/ The source code of the text is available at https://github.com/laurentperrinet/Perrinet20PredictiveProcessing This chapter is available as part of the book “The Philosophy and Science of Predictive Processing” : List of Contributors : Preface: The Brain as a Prediction Machine, Anil Seth Introduction, Dina Mendonça, Manuel Curado & Steven S.

See also Ladret and Perrinet, 2019

Traveling waves have recently been observed in different animal species, brain areas and behavioral states. However, it is still unclear what are their functional roles. In the case of cortical visual processing, waves propagate across retinotopic maps and can hereby generate interactions between spatially and temporally separated instances of feedforward driven activity. Such interactions could participate in processing long-range apparent motion stimuli, an illusion for which no clear neuronal mechanisms have yet been proposed. Using this paradigm in awake monkeys, we show that suppressive traveling waves produce to a spatio-temporal normalization of apparent motion stimuli. Our study suggests that cortical waves shape the representation of illusory moving stimulus within retinotopic maps for an straightforward read-out by downstream areas.

“An adaptive algorithm for unsupervised learning” supplementary info : https://spikeai.github.io/HULK/ Abstract HTML PDF code for paper: https://github.com/SpikeAI/HULK code for framework: https://github.com/bicv/SparseHebbianLearning/ code for figures https://github.com/SpikeAI/HULK/blob/master/Annex.ipynb (which is rendered @ https://spikeai.

Interested in orientation selectivity in V1? at #sfn2019 ? We tested a model getting different precision levels and then tested these predictions in real neurons ! Check out poster 403.16 / P20 @ https://t.

poster présenté au GDR vision, Paris. program : https://gdrvision2018.sciencesconf.org/data/pages/posters_GDRVision2018.pdf Poster (pdf) code : https://github.com/hugoladret/InternshipM1

see follow-up : Nicole Voges, Laurent U Perrinet (2012). Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. Frontiers in Computational Neuroscience. PDF Cite DOI

relies on log-Gabor filters: Sylvain Fischer, Filip Šroubek, Laurent U Perrinet, Rafael Redondo, Gabriel Cristóbal (2007). Self-Invertible 2D Log-Gabor Wavelets. International Journal of Computer Vision. PDF Cite Code DOI Schematic structure of the primary visual cortex implemented in the present study.

Progressive reconstruction of a static image using spikes in a Laplacian pyramid.