Abstract: Memristors with synaptic plasticity can act as changeable connection weights. To address the issue of no chaos in cyclic trineuron Hopfield neural network with resistive weights, a ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...