Brain Dynamics Programming in Python
-
Updated
Aug 13, 2026 - Python
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
A Python Library for Continuous Attractor Neural Networks
Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.
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
Causal Cognitive Architecture 8 (CCA8): a Python simulation of a neonatal mountain goat brain and a prototype Robotic Cognitive Operating System (RCOS) kernel.
Converts pretrained transformer LLMs into SNNs and tests multi-turn conversation in software simulation.
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.
To associate your repository with the brain-inspired-computing topic, visit your repo's landing page and select "manage topics."