Brain Dynamics Programming in Python

🔥 This repository compiles research papers (from top-tier conferences and journals) and code implementations in the field of Spiking Neural Networks (SNNs). 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.

[ASP-DAC 2025] "NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks" Official Implementation

A Python Library for Continuous Attractor Neural Networks

We introduce Local recurrent Predictive coding model termed as Parallel temporal Neural Coding Network. Unlike classical RNNs, our model is pure local and doesn't require computing gradients backward in time; thus computationally more efficient compared to BPTT and can be used for online learning

Open neuromorphic processors aiming to rival Intel Loihi, BrainChip Akida, and SpiNNaker.

CSDP: Biological Credit Assignment for Spiking Neural Circuits

Event-driven Computation for Brain Dynamics.

Research Project regarding Satellite Image Recognition using SNN

STAC (Spiking Transformer Augmenting Cognition) converts pretrained transformer LLMs (e.g., DistilGPT-2, SmolLM2-1.7B-Instruct) into energy-efficient Spiking Neural Networks (SNNs) while preserving coherent multi-turn conversational ability.

Redirect repo for the paper " Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations"

PyPi package of Reward-Modulated Self Organizing Recurrent Neural Network

This project explores Geoffrey Hinton's Forward-Forward algorithm. It includes a from-scratch implementation of Backpropagation in MATLAB to benchmark against the official FF implementation.

A tiny but powerful brain that lives inside your document.

Causal Cognitive Architecture 8 (CCA8): a Python simulation of a neonatal mountain goat brain and a prototype Robotic Cognitive Operating System (RCOS) kernel.