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The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
🐣 Code for my master thesis "Biologically Plausible Deep Learning through Neuroevolution"
Awesome list of research publications and media on biologically-motivated learning algorithms.
Pytorch Implementation, Experiments and Exploration of Biologically Plausible Neural Networks as a final project of CLPS1291 @ Brown
Replicating the results of a paper on underlying mechanisms of feedback alignment .
This repo is the implementation of perturbation based algorithms for training neural networks - we evaluate the scalability of node perturbation with network width and depth on modern datasets such as MNIST, CIFAR, etc.