Brain Dynamics Programming in Python
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Updated
Mar 11, 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。
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
Open neuromorphic processor architectures. Loihi-class feature set, FPGA-validated.
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.
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.
Lightweight RAG document intelligence — PDF/DOCX ingestion, sentence-transformer chunking and FAISS indexing, cited LLM Q&A with source grounding, and multi-document cross-reasoning support.
Causal Cognitive Architecture 8 (CCA8): a Python simulation of a neonatal mountain goat brain and a prototype Robotic Cognitive Operating System (RCOS) kernel.
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