NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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Updated
Jun 4, 2024 - Python
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Various experiments related to AGI
PyHGF: A neural network library for predictive coding
A generative neural network with two streams to recognize externally generated optic flow
Recurrent spiking network models for predicting MNIST sequences
Approximate Natural Gradient Descent with precision weighted predictive coding
Generalized Predictive Coding in Torch
Predictive coding networks for temporal prediction
Predictive coding for sequential memory
This repository has implementations of various alternatives to backpropagation for training neural networks.
NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python
EIGen: Evolutionary Illusion Generator, based on predictive coding.
Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.
predictive coding-based RL. both Active Neural Generative Coding and Prospective Configuration
Implementation of Neural Generative Coding
Redirect repo for the paper " Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations"
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
Precision estimation and second-order prediction errors in cortical circuits
Recurrent predictive coding networks for associative memory employing covariance learning
A predictive coding neural network to learn invariant representations from short video clips
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