Computation and Neural Systems by Anthony J. Bell (auth.), Frank H. Eeckman, James M. Bower

By Anthony J. Bell (auth.), Frank H. Eeckman, James M. Bower (eds.)

Computational neuroscience is better outlined by means of its specialize in figuring out the anxious structures as a computational gadget instead of by way of a specific experimental process. Accordinlgy, whereas nearly all of the papers during this booklet describe research and modeling efforts, different papers describe the result of new organic experiments explicitly put within the context of computational concerns. The distribution of topics in Computation and Neural Systems displays the present country of the sphere. as well as the medical effects offered right here, various papers additionally describe the continued technical advancements which are severe for the ongoing progress of computational neuroscience.
Computation and Neural Systems contains papers awarded on the First Annual Computation and Neural platforms assembly held in San Francisco, CA, July 26--29, 1992.

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A Multi-Neuronal Vectorial Phase-space Analysis 51 The changes in trring patterns among n neurons can be described by time evolution of these resultant vectors quantitatively. When the trajectories of these vectors are mapped onto the phase-space plot, the evolution of how trring pattern changes over time can be shown. Clustering of these resultant vectors can be used to delineate repeated firing patterns. The Euclidean distance between consecutive resultant vectors can be used to quantify repeated firing patterns among different sets of neurons.

O. O. Box 5218, Denton, TX. , deterministic) structure, which is a necessary (but not a sufficient) condition for significant information to be encoded in the precise temporal spike sequence. 1. INTRODUCTION Statistical measures, such as the peristimulus time histogram (PSTH), have been successfully employed throughout the nervous system in order to analyze spike activity, both for characterizing receptive fields and for studying the information processing capabilities of neurons. The rationale underlying the use such measures depends strongly, however, on the validity of the frequency code hypothesis, which may be summarized as follows: 1) the information content of a spike train is encoded in the (time dependent) firing rate, j{t), which may be measured by constructing a PSTH, and 2) individual spikes occur stochastically with a probability per unit time given by j{t).

A quantitative description of membrane current and its application to conduction and excitation in nerve", J. , "Ionic currents of solitary horizontal cells isolated from goldfish retina", J. , "Permeability changes induced by L-glutamate in solitary retinal horizontal cells isolated from Carassius auratus", J. , Ishii, H. , "An analysis of retinal L-type horizontal cell responses by the ionic current model", Neuroscience Research, Suppl. , "The functional role of retinal horizontal cells", J pn.

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