Spiking Neural Network Dynamics (Tech Report)

Simple Implementation of Latent Diffusion Model

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

Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

Playground for active inference in Python

NGC-Lava: NGC-Learn Support for Loihi 2 Lava Spiking Networks

CSDP: Biological Credit Assignment for Spiking Neural Circuits

Official implementation of paper "A neural active inference model of perceptual-motor learning" published on Computational Neuroscience in 2023.

Official Implementation for the paper Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking System.

NGC Museum: Biomimetic Credit Assignment, NeuroAI, and Brain-Inspired Computing with NGC-Learn

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

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

NGC-Sim-Lib: A Backend Compiler and State-Machine Engine for NGC-Learn

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 backwa…

A Robust Backpropagation-Free Framework for Images

AAAI 2019 LRA-E Model

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

MNIST-like Datasets for African Numeral Systems

Code to support the paper "Learning Simpler Language Models with the Differential State Framework" (NECO 2017).

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