NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
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Updated
Jan 24, 2026 - 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 👁️ 🧠
Movie-trained transformer reveals novel response properties to dynamic stimuli in mouse visual cortex
[NeurIPS 2024] 🥉 ViV1T submission in the Sensorium 2023 challenge
[Neuron 2024] Analysis of Baoding ball policy from MyoChallenge at NeurIPS 2022
Code for our NeuroAI tactile paper
Tools for model-brain and animal-to-animal brain comparisons (NeuroAI Turing Tests)
Replicate brain modules' computations with Artificial Neural Networks
NeuroAI Tutorials for the 2026 AIMS AI for Science Masters
EEG-based brain signal classification using classical machine learning with feature engineering and comparative model evaluation for BCI and NeuroAI research.
graphs of a biological neuron's activity (LIF) and a perceptron's activity in Python
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".
Lecture slides and coding scripts from the UOS block course.
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