In recent years, deep learning has revolutionized the field of machine learning, for computer
vision in particular. In this approach, a deep (multilayer) artificial neural network (ANN) is …

Breathing is a vital rhythmic motor behavior with a surprisingly broad influence on the brain
and body. The apparent simplicity of breathing belies a complex neural control system, the …

This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the
properties of experience in physical (operational) terms. It identifies the essential properties …

Bioinspired spiking neural networks (SNNs), operating with asynchronous binary signals (or
spikes) distributed over time, can potentially lead to greater computational efficiency on …

Over the past decade, deep neural networks (DNNs) have demonstrated remarkable
performance in a variety of applications. As we try to solve more advanced problems …

Abstract Spiking Neural Networks (SNNs) have recently emerged as a new generation of
low-power deep neural networks due to sparse, asynchronous, and binary event-driven …

Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and
widely considered to be the unwanted consequence of a noisy nervous system. However …

What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Neural activity maintains representations that bridge past and future events, often over many
seconds. Network models can produce persistent and ram** activity, but the positive …

Bio-inspired spiking neural networks (SNNs), operating with asynchronous binary signals
(or spikes) distributed over time, can potentially lead to greater computational efficiency on …