Single Neuron Computation

by McKenna, Thomas

• ISBN13: 9780124848153
• ISBN10: 012484815X
• Format: Hardcover
• Copyright: 1992-08-01
• Publisher: Academic Pr

Summary

This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs. The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.

Table of Contents

Computation in Dendrites and Spines

Electronic Models of Neuronal Dendrites and Single Neuron Computation

Canonical Neurons and Their Computational Organization

Computational Models of Hippocampal Neurons

Hebbian Computations in Hippocampal Dendrites and Spines

Synaptic Integration by Electro-Diffusion in Dendritic Spines

Dendritic Morphology, Inward Rectification, and the Functional Properties of Neostriatal Neurons

Analog and Digital Processing in Single Nerve Cells: Dendritic Integration and Axonal Propagation

Ion Channels, Synapses, and Patterned Discharge

Ionic Currents Governing Input-Output Relations of Betz Cells

Synchronized Multiple Bursts in the Hippocampus: A Neuronal Population Oscillation Uninterpretable without Accurate Cellular Membrane Kinetics

Physiological Models with Temporal Integration of Synaptic Inputs

Multiplying with Synapses and Neurons

A Model of the Direction Selectivity in Vertebrate Retina: Transformations by Neurons Singly and in Concert

Exploring Cortical Microcircuits: A Combined Anatomical, Physiological, and Computational Approach

Evolving Analog VLSI Neurons

Functions of Synapses on Very Distal Dendrites: Layer 1 Inputs to Layer 5 Pyramidal Cells in Neocortex

Relations between the Dynamical Properties of Single Cells and their Networks in Piriform (Olfactory) Cortex

Multistate Neurons and Stochastic Models of Neuron Dynamics

Determination of State Dependent Processing in Thalamus by Single Neuron Properties and Neuromodulators

Signal Processing in Multi-Threshold Neurons

Critical Coherence and Characteristic Times in Brain Stem Neuronal Discharge Patterns

Stochastic Neuron Models

Fractal Neuronal Firing Patterns

Cooperative Stochastic Effects in a Model of a Single Neuron

Index

Table of Contents provided by Publisher. All Rights Reserved.