The integrate-and-fire neuron model is one of the most widely used models for analyzing the
behavior of neural systems. It describes the membrane potential of a neuron in terms of the …

The cortex is a complex system, characterized by its dynamics and architecture, which
underlie many functions such as action, perception, learning, language, and cognition. Its …

A technology that simultaneously records membrane potential from multiple neurons in
behaving animals will have a transformative effect on neuroscience research,. Genetically …

Cortical neurons exhibit tremendous variability in the number and temporal distribution of
spikes in their discharge patterns. Furthermore, this variability appears to be conserved over …

The human brain contains billions of nerve cells whose activity plays a critical role in the way
we behave, feel, perceive, and think. This two-volume set explains the basic properties of a …

Cortical circuitry must facilitate information transfer in accordance with a neural code. In this
article we examine two candidate neural codes: information is represented in the spike rate …

To investigate the basis of the fluctuating activity present in neocortical neurons in vivo, we
have combined computational models with whole-cell recordings using the dynamic-clamp …

Though neuromorphic computers have typically targeted applications in machine learning
and neuroscience ('cognitive'applications), they have many computational characteristics …

This monograph is based on lectures given by the author at the National Science
Foundation—Conference Board of the Mathematical Sciences Regional Conference in June …

The relatively random spiking times of individual neurons are a source of noise in the brain.
We show that in a finite-sized cortical attractor network, this can be an advantage, for it leads …