⚡ 📚 Papers and other material for getting started with Neuro-AI! 🧠 💥

A curated repository of Neuro-AI papers.

[TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving

Code for the 🥉 ViV1T submission in the NeurIPS Sensorium 2023 challenge.

Code for "Movie-trained transformer reveals novel response properties to dynamic stimuli in mouse visual cortex"

Codebase for the Neurips 2023 spotlight paper "Curriculum Learning with Infant Egocentric Videos"

This repo contains necessary code and sample data for reproducing the figures in paper Polarity is all you need to learn and transfer faster.

This project, developed for the "Physical Models of Living Systems" course, reproduces recorded neuron dynamics from ALM using both highly structured and trained chaotic random RNN models.

Hybrid GNN-SNN AI model for early Parkinson's disease detection using spiking neurons and graph learning

Notes and ideas from NAISys 2020

AURA is an ML-driven advanced EEG-based Brain-Computer Interface leveraging ESP32, ADS1299, and ML for real-time mental-state mapping and early disease prediction. Achieving 93% accuracy, it pioneers assistive tech for non-verbal communication and IoT integration.

A language for AI: Making AI development accessible through intent-driven programming