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Computation in Neurons and Neural Systems

  • Book
  • © 1994

Overview

Editors:
  1. Frank H. Eeckman

    1. Lawrence Livermore National Laboratory, USA

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Table of contents (50 chapters)

  1. Front Matter

    Pages i-xi
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  2. Analysis

    1. Front Matter

      Pages 1-1
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    2. Solutions to Hodgkin-Huxley Equations: Functional Analysis of a Molluscan Neurone

      • P. G. Hearne, S. Manchanda, M. Janahmadi, I. M. Thompson, J. Wray, D. J. Sanders et al.
      Pages 3-8

    3. An Analytic Method for Estimating the Kinetic Parameters of Active Conductances from Current-Clamp Data

      • Philip S. Ulinski, Luis Smith, Jill M. Nicolaus
      Pages 9-14

    4. The Effect of i h Currents on Bursting Patterns of Pairs of Coupled Neurons

      • Thomas LoFaro, Nancy Kopell, Eve Marder, Scott L. Hooper
      Pages 15-20

    5. Anomalous increase in membrane impedance of neurons during NMDA activation

      • L. E. Moore, J. R. Buchanan, C. R. Murphey
      Pages 21-26

    6. Synchronization among heterogeneous inhibitory RTN neurons globally coupled

      • David Golomb, John Rinzel
      Pages 27-32

    7. A Multi-Conditional Correlation Statistics for Detecting Spatio-Temporally Correlated Firing Patterns

      • David C. Tam
      Pages 33-38

    8. Dynamics Of Presynaptic Ca2+ And Peptide Release In Bullfrog Sympathetic Ganglia

      • Yan-yi Peng
      Pages 39-44

  4. Visual Systems

    1. Front Matter

      Pages 71-71
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    2. Simulating the foveal cone receptive field

      • Andrew Hsu, Robert G. Smith
      Pages 73-78

    3. Computational Hermissenda Photoarray Model

      • Susan A. Werness, Dale Fay, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon
      Pages 79-84

    4. Limits On Image Representation In Early Vision

      • Allan Gottschalk
      Pages 85-90

    5. Inward Rectifying Conductances in Inhibitory Neurons of Turtle Visual Cortex

      • Jill M. Nicolaus, Philip S. Ulinski
      Pages 91-96

    6. Optimal Smoothness of Orientation Preference Maps

      • F. Wolf, K. Pawelzik, T. Geisel, D.-S. Kim, T. Bonhoeffer
      Pages 97-101
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Keywords

About this book

Computation in Neurons and Neural Systems contains the collected papers of the 1993 Conference on Computation and Neural Systems which was held between July 31--August 7, in Washington, DC. These papers represent a cross-section of the state-of-the-art research work in the field of computational neuroscience, and includes coverage of analysis and modeling work as well as results of new biological experimentation.

Editors and Affiliations

  • Lawrence Livermore National Laboratory, USA

    Frank H. Eeckman

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