Single Neuron Computation

✍ Scribed by Thomas M. McKenna, Joel L. Davis, Steven F. Zornetzer

• Publisher: Elsevier Inc, Academic Press
• Year: 1992
• Tongue: English
• Leaves: 639
• Series: Neural Networks: Foundations to Applications
• Edition: First Edition
• Category: Library

✦ Synopsis

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

Content:
Inside Front Cover, Page ii
Front Matter, Page iii
Copyright, Page iv
Contributors, Pages ix-xi
Preface, Pages xiii-xiv, Thomas McKenna
INTRODUCTION TO COMPUTATION IN DENDRITES AND SPINES, Pages 1,3-5
Chapter 1 - Electrotonic Models of Neuronal Dendrites and Single Neuron Computation, Pages 7-25, WILLIAM R. HOLMES, WILFRID RALL
Chapter 2 - Canonical Neurons and Their Computational Organization, Pages 27-60, GORDON M. SHEPHERD
Chapter 3 - Computational Models of Hippocampal Neurons, Pages 61-80, BRENDA J. CLAIBORNE, ANTHONY M. ZADOR, ZACHARY F. MAINEN, THOMAS H. BROWN
Chapter 4 - Hebbian Computations in Hippocampal Dendrites and Spines, Pages 81-116, THOMAS H. BROWN, ANTHONY M. ZADOR, ZACHARY F. MAINEN, BRENDA J. CLAIBORNE
Chapter 5 - Synaptic Integration by Electro-Diffusion in Dendritic Spines, Pages 117-139, TERRENCE J. SEJNOWSKI, NING QIAN
Chapter 6 - Dendritic Morphology, Inward Rectification, and the Functional Properties of Neostriatal Neurons, Pages 141-171, CHARLES J. WILSON
Chapter 7 - Analog and Digital Processing in Single Nerve Cells: Dendritic Integration and Axonal Propagation, Pages 173-198, IDAN SEGEV, MOSHE RAPP, YAIR MANOR, YOSEF YAROM
Chapter 8 - Functions of Very Distal Dendrites: Experimental and Computational Studies of Layer I Synapses on Neocortical Pyramidal Cells, Pages 199-229, LARRY J. CAULLER, BARRY W. CONNORS
INTRODUCTION TO ION CHANNELS AND PATTERNED DISCHARGE, SYNAPSES, AND NEURONAL SELECTIVITY, Pages 231,233-234
Chapter 9 - Ionic Currents Governing Input–Output Relations of Betz Cells, Pages 235-258, PETER C. SCHWINDT
Chapter 10 - Determination of State-Dependent Processing in Thalamus by Single Neuron Properties and Neuromodulators, Pages 259-290, DAVID A. MCCORMICK, BEN W. STROWBRIDGE, JOHN HUGUENARD
Chapter 11 - Temporal Information Processing in Synapses, Cells, and Circuits, Pages 291-306,CP1,CP2,CP3,CP4,307-313, PHILIP S. ANTÓN, RICHARD GRANGER, GARY LYNCH
Chapter 12 - Multiplying with Synapses and Neurons, Pages 315-345, CHRISTOF KOCH, TOMASO POGGIO
Chapter 13 - A Model of the Directional Selectivity Circuit in Retina: Transformations by Neurons Singly and in Concert, Pages 347-375, LYLE J. BORG-GRAHAM, NORBERTO M. GRZYWACZ
INTRODUCTION TO NEURONS IN THEIR NETWORKS, Pages 377,379-380
Chapter 14 - Exploring Cortical Microcircuits: A Combined Anatomical, Physiological, and Computational Approach, Pages 381-412, RODNEY J. DOUGLAS, KEVAN A.C. MARTIN
Chapter 15 - Evolving Analog VLSI Neurons, Pages 413-435, M.A. MAHOWALD
Chapter 16 - Relations between the Dynamical Properties of Single Cells and Their Networks in Piriform (Olfactory) Cortex, Pages 437-462, JAMES M. BOWER
Chapter 17 - Synchronized Multiple Bursts in the Hippocampus: A Neuronal Population Oscillation Uninterpretable without Accurate Cellular Membrane Kinetics, Pages 463-475, ROGER D. TRAUB, RICHARD MILES
INTRODUCTION TO MULTISTATE NEURONS AND STOCHASTIC MODELS OF NEURON DYNAMICS, Pages 477,479-480
Chapter 18 - Signal Processing in Multi-Threshold Neurons, Pages 481-501, DAVID C. TAM
Chapter 19 - Cooperative Stochastic Effects in a Model of a Single Neuron, Pages 503-523, ADI R. BULSARA, WILLIAM C. SCHIEVE, FRANK E. MOSS
Chapter 20 - Critical Coherence and Characteristic Times in Brain Stem Neuronal Discharge Patterns, Pages 525-560, KAREN A. SELZ, ARNOLD J. MANDELL
Chapter 21 - A Heuristic Approach to Stochastic Models of Single Neurons, Pages 561-588, CHARLES E. SMITH
Chapter 22 - Fractal Neuronal Firing Patterns, Pages 589-625, MALVIN C. TEICH
Index, Pages 627-644