brain-inspired-computing

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。

The comprehensive bilingual (EN/中文) hub for Spiking Neural Networks — 340+ papers, models, neuromorphic hardware, datasets, tools & research groups.

NGC-Learn: Computational Neuroscience and NeuroAI 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.

A Python Library for Continuous Attractor Neural Networks

Open neuromorphic processor architectures. Loihi-class feature set, FPGA-validated.

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

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

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.

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

Simulation of a Leaky Integrate-and-Fire (LIF) neuron using Python, NumPy, and Matplotlib for neuromorphic computing research and education.

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

VSALab — Interactive Hyperdimensional Computing & Vector Symbolic Architectures Laboratory. 6 modules: HD vectors, language recognition, SDM, graph analogy, resonator networks, VSA vs NN arena. Zero dependencies.