NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
- Updated
Dec 23, 2025 - Python
NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
Simulating embodied sensorimotor control with NeuroMechFly v2
Website of the BrainHack School
List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide
A curated collection of resources and research on vision neuroscience 👁️ 🧠
[NeurIPS 2024] 🥉 ViV1T submission in the Sensorium 2023 challenge
Movie-trained transformer reveals novel response properties to dynamic stimuli in mouse visual cortex
[Neuron 2024] Analysis of Baoding ball policy from MyoChallenge at NeurIPS 2022
Code for our NeuroAI tactile paper
graphs of a biological neuron's activity (LIF) and a perceptron's activity in Python
EEG-based brain signal classification using classical machine learning with feature engineering and comparative model evaluation for BCI and NeuroAI research.
A NeuroAI project using Bernoulli-inspired fluid-flow analogy to explore how information moves through neural networks. The signal strength in the NN is defined as the "pressure" from Bernoulli's equation, the speed of information propagation as the "flow speed of fluid" and, the activation level as the "opening and closing of valves".
Tools for model-brain and animal-to-animal brain comparisons (NeuroAI Turing Tests)
Lecture slides and coding scripts from the UOS block course.
Machine learning pipeline for seizures detection using EEG
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