A novel algorithm learns sparsity thresholds in reservoir computing via gradient descent on neuron-specific thresholds combined with MCMC on a global threshold, inspired by Drosophila neurobiology, and outperforms standard gradient descent on two tasks.
Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex
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Learning sparsity in reservoir computing through a novel bio-inspired algorithm
A novel algorithm learns sparsity thresholds in reservoir computing via gradient descent on neuron-specific thresholds combined with MCMC on a global threshold, inspired by Drosophila neurobiology, and outperforms standard gradient descent on two tasks.