A single CoLaNET network reimplemented in Rust with a linear synaptic resource function, random weight initialization, and group-based reward reaches 91.08% MNIST accuracy and sub-millisecond per-timestep latency on a Raspberry Pi 4.
Softhebb: Bayesian inference in unsupervised hebbian soft winner-take-all networks.Neuromorphic Computing and Engineering, 2, 2021
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Spiffy: Efficient Implementation of CoLaNET for Raspberry Pi
A single CoLaNET network reimplemented in Rust with a linear synaptic resource function, random weight initialization, and group-based reward reaches 91.08% MNIST accuracy and sub-millisecond per-timestep latency on a Raspberry Pi 4.