3 papers
q-bio.NC2024
Harnessing and modulating chaos to sample from neural generative models
Rishidev Chaudhuri, Vivek Handebagh
Chaos is generic in strongly-coupled recurrent networks of model neurons, and thought to be an easily accessible dynamical regime in the brain. While neural chaos is typically seen…
q-bio.NC2022
Adaptive Synaptic Failure Enables Sampling from Posterior Predictive Distributions in the Brain
Kevin McKee, Ian Crandell, Rishidev Chaudhuri +1
Bayesian interpretations of neural processing require that biological mechanisms represent and operate upon probability distributions in accordance with Bayes' theorem. Many have s…
q-bio.NC2020
Using noise to probe recurrent neural network structure and prune synapses
Eli Moore, Rishidev Chaudhuri
Many networks in the brain are sparsely connected, and the brain eliminates synapses during development and learning. How could the brain decide which synapses to prune? In a recur…