Brain Dynamics Programming in Python
- Updated
Dec 17, 2025 - Python
Brain Dynamics Programming in Python
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
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
A Python Library for Continuous Attractor Neural Networks
Enabling Event-driven Computation in Brain Dynamics
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.
PyPi package of Reward-Modulated Self Organizing Recurrent Neural Network
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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