visual-cortex

Code base for the SENSORIUM competition.

NeurIPS | 1st place solution for Sensorium 2023 Competition

Spiking Neural Network modelling the Visual Cortex (V1) Layer 5

Simulation of cat V1 simple cell and receptive field.

Edge co-occurrences can account for rapid categorization of natural versus animal images

Analysis and visualization of data recorded from V4 of macaque monkeys trained in a shape detection task

A lightweight, ready-to-run demo environment for GEM-pRF, featuring automatic GPU setup, path configuration, and multiple example pipelines.

[fMRI] Multisensory integration of metaphorically related audiovisual inputs in visual cortex

Resolving the mesoscopic missing link: Biophysical modeling of EEG from cortical columns in primates

Foundations of Neuroscience Course Project

Analysis code for dimensionality and connectivity across the macaque ventral visual stream (THINGS Ventral Stream Spiking Dataset).

Does recurrent processing in V1 correct an early cardinal bias in orientation coding over time, specifically in resilient neurons? Investigating this question on Ladret et al. (2023) in vivo recordings in cats and Motion Clouds, under the supervision of Laurent Perrinet, Research Director, and Alexandre Lainé, Doctoral Student.

Interactive Streamlit app mapping PyTorch CNN activation maps (VGG16) directly to biological visual cortex regions (V1 to IT). Features live feature map extraction via forward hooks and neural heatmaps.

Find cells in the MICrONS mouse visual cortex EM dataset in plain language and open them in Neuroglancer, from any AI (MCP server, CLI, Python).

Single-GPU proof of concept for emulating brain microcircuits with spiking neural networks

Does the transient oblique effect and its correction by recurrent processing, generalize across species? Extending the cat V1 analysis to marmoset V1 recordings, under the supervision of Laurent Perrinet, Research Director, and Alexandre Lainé, Doctoral Student.

The Role of Chromatic Stimuli in Modulating Perceptual Inpainting within the Visual Cortex

Code for my BSc thesis: decoding orientation preference maps from spontaneous activity in human V1. Compares sleep against wakefulness and finds sleep-derived maps markedly more stable — a stimulus-free route to functional cortical mapping for visual prostheses.

Interactive Bressloff V1 form constants lab