▪ Abstract We explore the extent to which neocortical circuits generalize, ie, to what extent
can neocortical neurons and the circuits they form be considered as canonical? We find that …

We survey recent analytical approaches to studying the spatiotemporal dynamics of
continuum neural fields. Neural fields model the large-scale dynamics of spatially structured …

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 …

A major goal of neuroscience, statistical physics, and nonlinear dynamics is to understand
how brain function arises from the collective dynamics of networks of spiking neurons. This …

Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …

Neurons in the brain communicate by short electrical pulses, the so-called action potentials
or spikes. How can we understand the process of spike generation? How can we …

Single-neuron recordings from behaving primates have established a link between working
memory processes and information-specific neuronal persistent activity in the prefrontal …

Grid cells provide a neural representation of space, by discharging when an animal
traverses through the vertices of a periodic hexagonal grid spanning the environment …

Neuromorphic electronic engineering takes its inspiration from the functioning of nervous
systems to build more power efficient electronic sensors and processors. Event-based …

Most of the networks used by computer scientists and many of those studied by modelers in
neuroscience represent unit activities as continuous variables. Neurons, however …