Neural network modeling is often concerned with stimulus-driven responses, but most of the
activity in the brain is internally generated. Here, we review network models of internally …

… and postsynaptic excitation leads to weakening of the inhibitory synapse, and prominent
presynaptic activity leads to its strengthening [ie, a near inverse of the rule used by Vogels et al. …

Working memory, the ability to keep recently accessed information available for immediate
manipulation, has been proposed to rely on two mechanisms that appear difficult to reconcile: …

Cortical neurons receive balanced excitatory and inhibitory synaptic currents. Such a balance
could be established and maintained in an experience-dependent manner by synaptic …

Transmission of signals within the brain is essential for cognitive function, but it is not clear
how neural circuits support reliable and accurate signal propagation over a sufficiently large …

Recent theoretical work has provided a basic understanding of signal propagation in networks
of spiking neurons, but mechanisms for gating and controlling these signals have not …

Populations of neurons in motor cortex engage in complex transient dynamics of large amplitude
during the execution of limb movements. Traditional network models with stochastically …

Brains process information in spiking neural networks. Their intricate connections shape the
diverse functions these networks perform. Yet how network connectivity relates to function is …

Most excitatory inputs in the mammalian brain are made on dendritic spines, rather than on
dendritic shafts. Spines compartmentalize calcium, and this biochemical isolation can …

Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …