Neural networks are more than the sum of their parts, but the properties of those parts are
nonetheless important. For instance, neuronal properties affect the degree to which neurons …

A phenomenological model with time-varying excitation and inhibition was developed to
study possible neural mechanisms underlying changes in the representation of temporal …

Neurons possess multiple voltage-dependent conductances specific for their function. To
investigate how low-threshold outward currents improve the detection of small signals in a …

Voltage-dependent membrane conductances support specific neurophysiological
properties. To investigate the mechanisms of coincidence detection, we activated gerbil …

The three types of principal cells of the ventral cochlear nucleus (VCN), bushy, octopus, and
T stellate, differ in the detection of coincidence among synaptic inputs. To explore the role of …

Brief synaptic inhibition can overwhelm a nearly coincident suprathreshold excitatory input
to preclude spike generation. Surprisingly, a brief inhibitory event that occurs in a favorable …

In computational biology, modeling is a fundamental tool for formulating, analyzing and
predicting complex phenomena. Most neuron models, however, are designed to reproduce …

Model-based studies of responses of auditory nerve fibers to electrical stimulation can
provide insight into the functioning of cochlear implants. Ideally, these studies can identify …

A biologically detailed model of the binaural avian nucleus laminaris is constructed, as a two-
dimensional array of multicompartment, conductance-based neurons, along tonotopic and …

Computational modeling has a central role in understanding the mechanisms behind
experimental observations. This chapter describes how models of binaural processing are …