The moment-to-moment processing of information by the nervous system involves the
propagation and interaction of electrical and chemical signals that are distributed in space …

We review different aspects of the simulation of spiking neural networks. We start by
reviewing the different types of simulation strategies and algorithms that are currently …

In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating
large-scale neural models in real time. Neuromorphic systems realize the function of …

Deep brain stimulation (DBS) is an effective therapy for medically refractory movement
disorders. However, fundamental questions remain about the effects of DBS on neurons …

Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook
teaches students how to use computational techniques to understand the nervous system at …

Markov kinetic models were used to synthesize a complete description of synaptic
transmission, including opening of voltage-dependent channels in the presynaptic terminal …

Impact of network activity on the integrative properties of neocortical pyramidal neurons in
vivo. During wakefulness, neocortical neurons are subjected to an intense synaptic …

The remarkably successful quantitative description of the action potential introduced by
Hodgkin and Huxley 1952 is still widely used over 40 years since its introduction. The …

The tryptophan–kynurenine (KYN) pathway has long been recognized for its essential role
in generating metabolites that influence various physiological processes. Traditionally, these …

1. A network model of thalamocortical (TC) and thalamic reticular (RE) neurons was
developed based on electrophysiological measurements in ferret thalamic slices. Single …