NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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Updated
Dec 16, 2024 - Python
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
PyHGF: A neural network library for predictive coding
EIGen: Evolutionary Illusion Generator, based on predictive coding.
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects
Flexible Inference for Predictive Coding Networks in JAX.
This repository has implementations of various alternatives to backpropagation for training neural networks.
Code from paper High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction
Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.
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
Predictive coding networks for temporal prediction
Generalized Predictive Coding in Torch
Various experiments related to AGI
Predictive Coding (Rao & Ballard, 1999) Model
Recurrent predictive coding networks for associative memory employing covariance learning
Deep Predictive Coding Network (PredNet) implemented with Chainer
Predictive coding for sequential memory
Learning grid cells by predictive coding
predictive coding-based RL. both Active Neural Generative Coding and Prospective Configuration
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