visual-cortex

NeurIPS | 1st place solution for Sensorium 2023 Competition

Simulation of cat V1 simple cell and receptive field.

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

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

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

Two-photon calcium imaging of cross-orientation suppression across cortical depth in macaque V1. 4,785 ROIs across 28 depths (140-518um) reveal laminar shift from facilitation to suppression, paralleled by gradients in spatial frequency preference, tuning width, and orientation selectivity. Mixed-effects models and bootstrap CIs included.

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.

Probabilistic segmentation uncertainty for V1 neural dynamics

This project was developed as part of the Biologically Inspired Artificial Intelligence course at the Silesian University of Technology. The goal is to automatically classify eye diseases (diabetic retinopathy, cataract, glaucoma, normal) from retinal images using a convolutional neural network (CNN) inspired by the human 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.

Linear decoding of visual stimulus category across mouse V1/LM/AL/RL (MICrONS). LM leads on fine natural categories.

Layer-wise CNN encoding of mouse V1 responses (Allen Institute Neuropixels), with an adversarial audit that downgraded the headline claim.