Computational Neuroscience: Trends in Research, 1998

642 Pages·1998·35.56 MB·English

by  Powen Ru, S. A. Shamma

Computational Neuroscience
Trends in Research, 1998
Computational Neuroscience
Trends in Research, 1998
Edited by
James M. Bower
California Institute of Technology
Pasadena, California
Springer Science+Business Media, LLC
Llbrary of Congress Cataloglng-ln-Publlcatlon Data
Computational neuroseienee , trends in research. 1998 I edited by
James M. Bo"er.
p. em.
·Proeeedings of the [Slxthl Annual Computational Neuroseienee
Conferenee. held July 6-10. 1997, in Big Sky, Montana"--CIP t.p.
verso.
Includes bibllographlcal referenees and Index.
ISBN 978-1-4613-7190-8 ISBN 978-1-4615-4831-7 (eBook)
DOI 10.1007/978-1-4615-4831-7
1. Computational neuroseienee--Congresses. 1. Bo"er. James M.
II. Computational Neuroselence Conferenee (6th , 1997 , 8ig Sky,
Montana)
QP357.5.C642 1998
573.8'01'1--de21 98-25793
CIP
Proceedings of the Annual Computational Neuroscience Conference,
held July 6 -10, 1997, in Big Sky, Montana
ISBN 978-1-4613-7190-8
© 1998 Springer Science+Business Media New York
Originally published by Plenum Press, New York in 1998
Softcover reprint of the hardcover 1s t edition 1998
10987654321
AII rights reserved
No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form
or by any means, electronic, mechanical, photocopying, microfilming, recording, or otherwise,
without written permission from the Publisher
PREFACE
This volume includes papers presented at the Sixth Annual Computational Neurosci-
ence meeting (CNS*97) held in Big Sky, Montana, July 6-10, 1997. This collection includes
103 of the 196 papers presented at the meeting. Acceptance for meeting presentation was
based on the peer review of preliminary papers originally submitted in January of 1997. The
papers in this volume represent final versions of this work submitted in January of 1998.
Taken together they provide a cross section of computational neuroscience and represent well
the continued vitality and growth of this field.
The meeting in Montana was unusual in several respects. First, to our knowledge it
was the first international scientific meeting with opening ceremonies on horseback. Second,
after five days of rigorous scientific discussion and debate, meeting participants were able to
resolve all remaining conflicts in barrel race competitions. Otherwise the magnificence of
Montana and the Big Sky Ski Resort assured that the meeting will not soon be forgotten.
Scientifically, this volume once again represents the remarkable breadth of subjects
that can be approached with computational tools. This volume and the continuing CNS meet-
ings make it clear that there is almost no subject or area of modem neuroscience research that
is not appropriate for computational studies.
In order to emphasize the interrelated nature of computational neuroscience, the pa-
pers in this volume are grouped into very general levels of investigation and analysis. The pa-
pers found in each category represent research undertaken with a wide range of experimental
preparations, analysis techniques, and technical approaches. The range of subjects presented
here is unusual in modem biology, and one of the strengths of our field and of this meeting.
This volume represents work focused on figuring out how brains compute rather than on a
particular animal, brain structure, or technique.
For a student or someone new to the field, this book provides an overview of some of
the best work currently being done in this field. For a library, this book is the best available
representation ofthe current state of computational brain studies. For those that participated
in the meeting in Montana, it is my hope that this book reminds you both of the exciting sci-
ence we heard about AND what it was like to spend five days under Montana's big sky.
Jim Bower
v
REVIEWERS FOR CNS*97
The papers presented in this volume were submitted in January of 1997. Each submit-
ted paper was peer reviewed prior to its acceptance at the meeting under the supervision oft he
program committee. The meeting organizers are particularly thankful for the efforts of the re-
viewers in assuring acceptance of the highest quality papers.
CNS*97 ORGANIZING AND PROGRAM COMMITTEE
• Jim Bower (California Institute of Technology)
• John Miller (University of California, Berkeley)
• Charlie Anderson (Washington University)
• Axel Borst (Max-Planck Institute, Tuebingen, Germany)
• Leif Finkel (University of Pennsylvania)
• Anders Lansner (Royal Institute of Technology, Sweden)
• Linda Larson-Prior (Pennsylvania State University Medical College)
• Christiane Linster (Harvard University)
• Maureen Rush (California State University, Bakersfield)
• Karen Sigvardt (University of California, Davis)
CNS*97 REVIEWERS
Larry F. Abbott, Brandeis University; Charles H. Anderson, Washington University
School of Medicine; Upinder S. Bhalla, National Centre for Biological Sciences; Alexander
Borst, Max-Planck-Society; Ron Calabrese, Emory University; Erik De Schutter, University
of Antwerp-UIA; Bard G. Ermentrout, University of Pittsburgh; LeifH. Finkel, University
of Pennsylvania; Michael E. Hasselmo, Harvard University; William R. Holmes, Ohio Uni-
versity; Gwen Jacobs, Montana State University; Leslie M. Kay, Caltech; Nancy Kopell,
Boston University; Anders Lansner, Royal Institute of Technology; Linda 1. Larson-Prior,
Pennsylvania State Univ. Med. College; Gilles Laurent, Caltech; Christiane Linster, Harvard
University; William W. Lytton, University of Wisconsin; Bartlett W. Mel, University of
Southern California; Kenneth D. Miller, University of California at San Francisco; John
Miller, Montana State University; Mark E. Nelson, University of Illinois; Bruno A. 01-
shausen, University of California at Davis; Michael Paulin, University of Otago; Klaus
Pawelzik, Max-Planck-Institut; John Rinzel, MRBINIDDKlNIH; Maureen E. Rush, Califor-
nia State University at Bakersfield; Idan Segev, Hebrew University of Jerusalem; Shihab
Shamma, University of Maryland; Gordon Shepherd, Yale University School of Medicine;
Karen A. Sigvardt, University of California at Davis; Nelson Spruston, Northwestern Un i-
vii
versity; Michael Stiber, University of Washington at Bothell; Greg Stuart, Australian Na-
tional University; David S. Touretzky, Carnegie Mellon University; Philip S. Ulinski,
University of Chicago; Gene V. Wallenstein, Harvard University; Charles Wilson, University
of Tennessee
CNS*97 CONFERENCE SUPPORT
Judy G. Macias (California Institute of Technology)
Monica Oller (California Institute of Technology)
SUPPORTING AGENCIES
National Institute of Mental Health and National Science Foundation
viii
CONTENTS
SECTION I: SUBCELLULAR
1. Response-Field Dynamics in the Auditory Pathway ....................... .
D. A. Depireux, Powen Ru, S. A. Shamma, and 1. Z. Simon
2. Rapid Categorization of Extra foveal Natural Images: Implications for
Biological Models .............................................. 7
Michele Fabre-Thorpe, Denis Fize, Ghislaine Richard, and Simon Thorpe
3. Cortical Activity Pattern in Complex Tasks 13
F. Frisone, P. Vitali, and P. Morasso
4. Relations among EEGs from Entorhinal Cortex, Olfactory Bulb, Somatomotor,
Auditory and Visual Cortices in Trained Cats. . . . . . . . . . . . . . . . . . . . . . . .. 19
G. GaaJ and W. J. Freeman
5. Naive Preference and Filial Imprinting in the Domestic Chick: A Neural
Network Model ................................................ 29
Lucy Hadden
6. A Computational Model of Retinogeniculate Development. . . . . . . . . . . . . . . . .. 35
Gary L. Haith and David Heeger
7. Cluster Structure of Cortical Systems in Mammalian Brains. . . .. . . . . . . . . . ... 41
Claus C. Hilgetag, Gully A. P. C. Bums, Mark A. O'Neill, and
Malcolm P. Young
8. Dynamic Memory Maintenance ....................................... 47
David Hom, Nir Levy, and Eytan Ruppin
9. Encoding Context in Spatial Navigation: One Role of Dentate Gyrus. . . . . . . . .. 53
Karl Kilborn, Gary Lynch, and Richard Granger
10. Large Scale Simulations of Hippocampal-Neocortical Interactions in a Parallel
Version of GENESIS ............................................ 59
J. C. Klopp, P. Johnston, V. I. Nenov, N. Goddard, G. Hood, and E. Halgren
ix
11. Production of Phase Lag in Chains of Neural Networks Oscillating through an
Escape Mechanism. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 65
Jeanette Hellgren Kotaleski, Anders Lansner, and Sten Grillner
12. A Dynamic Neighbourhood Function in Volume Learning .................. 71
Bart Krekelberg and John G. Taylor
13. Basal Ganglia Perform Differencing between 'Desired' and 'Experienced'
Parameters .................................................... 77
Andras Lorincz
14. Neural Model of Transfer-Of-Binding in Visual Relative Motion Perception. . .. 83
Jonathan A. Marshall, Charles P. Schmitt, George J. Kalarickal, and
Richard K. Alley
15. Analysis of Coupled Chaoscillators Embedded within Thalamocortical and
Corti co cortical Reentrant Loops Encompassing Dynamics on Multiple
Time Scales ................................................... 89
James M. E. Patterson, Mark E. Jackson, and Lawrence J. Cauller
16. Presence of a Chaotic Region between Subthreshold Oscillations and
Rhythmic Bursting in a Simulation of Thalamocortical Relay and
Reticular Neurons .............................................. 95
Kush Paul, Mark Jackson, and Larry J. Cauller
17. The Role of the Hippocampus in the Morris Water Maze ................... 10 1
A. David Redish and David S. Touretzky
18. A State Space Model of Gerbil Cochlea ................................. 107
Bilin Zhang Stiber, Edwin R. Lewis, and Kenneth R. Henry
19. Rank Order Coding ................................................. 113
Simon Thorpe and Jacques Gautrais
20. Neuromodulation of Hippocampal Population Coding: Place Field
Development and Phase Precession. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 119
Gene V. Wallenstein and Michael E. Hasselmo
21. Cortical Synchronization and Perceptual Salience ......................... 125
Shih-Cheng Yen, Elliot D. Menschik, and LeifH. Finkel
SECTION II: CELLULAR
22. Resolving the Paradoxical Effect of Activity on Synapse Elimination ......... 131
Michael 1. Barber and JeffW. Lichtman
23. Cellular Mechanisms ofCa1cium Elevation Involved in Long Term Memory .... 137
K. T. Blackwell, T. P. Vogl, and D. L. Alkon
24. Temporal Characteristics of VI Cells Arising From Synaptic Depression ...... 143
Frances S. Chance, Sacha B. Nelson, and L. F. Abbott
x
25. Synaptic Pruning in Development: A Novel Account in Neural Tenus ......... 149
Gal Chechik, Isaac Meilijson, and Eytan Ruppin
26. A Nonlinear Systems Approach of Characterizing AMPA and NMDA
Receptor Dynamics ............................................. 155
Sunil S. Dalal, Vasilis Z. Manuarelis, and Theodore W. Berger
27. Detailed Model of Ryanodine Receptor-Mediated Calcium Release in Purkinje
Cells ......................................................... 161
Erik De Schutter
28. Somato-Dendritic Interactions Underlying Action Potential Generation in
Neocortical Pyramidal Cells In Vivo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 167
Alain Destexhe, Eric J. Lang, and Denis Pare
29. Modelling the Evoked Release of Quanta at Active Zones: Theoretical
Investigation of the Secretosome Hypothesis ......................... 173
William G. Gibson, Max R. Bennett, and John Robinson
30. Analysis of Sensory Coding in the Lateral Superior Olive ................... 179
Charlotte M. Gruner and Don H. Johnson
31. Dynamics of Spike Generation May Underly In Vivo Spike Train Statistics. . . .. 185
Boris Gutkin and G. Bard Ermentrout
32. Modeling the Contributions of Calcium Channels and NMDA Receptor
Channels to Calcium Current in Dendritic Spines ..................... 191
William R. Holmes and IIdik6 Aradi
33. Computational Properties of a Neuronal Model for Noisy Subthreshold
Oscillations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 197
Martin T. Huber, Hans A. Braun, Mathias Dewald, Karlheinz Voigt, and
Jurgen C. Krieg
34. Analysis of Light Responses of the Retinal Bipolar Cells Based on Ionic
Current Model ................................................. 203
Akito Ishihara, Yoshimi Kamiyama, and Shiro Usui
35. Cable Properties of Motoneurons in Rat Spinal Cord Slice Cultures ........... 211
J. Kleinle, M. Larkurn, N. Buchs, W. Senn, and H.-R. Luscher
36. Active Dendritic Conductances Influence the Relations between Synaptic
Input and the Current-Voltage Relation of Adult Spinal Motoneurons ..... 217
Robert H. Lee and C. J. Heckman
37. Emulation of Hopfield Networks with Spiking Neurons in Temporal Coding .... 221
Wolfgang Maass and Thomas Natschlager
38. Binocular Disparity Tuning in Cortical 'Complex' Cells: Yet Another Role for
Intradendritic Computation? ...................................... 227
Bartlett W. Mel, Kevin A. Archie, and Daniel L. Rudenuan
39. Dendritic Calcium Currents in Thalamic Relay Cells ....................... 233
Mike Neubig, Daniel Ulrich, John R. Huguenard, and Alain Destexhe
xi
40. A Model of How Rapid Changes in Local Input Resistance of Shark
Electrosensory Neurons May Enable Detection of Small Signals ......... 239
Michael Paulin, Walter Senn, YosefYarom, Hanoch Meiri, and Dana Cohen
41. Dynamics of the Electroreceptors in the Paddlefish, Polyodon Spathula ........ 245
Xing Pei, David F. Russell, Lon A. Wilkens, and Frank Moss
42. Computational Mechanisms underlying the Second-Order Structure of
Cortical Complex Cells .......................................... 251
Ko Sakai and Shigeru Tanaka
43. A Calcium Diffusion-Reaction Model for Facilitation ...................... 257
Thomas Schlumpberger
44. Spike Timing Reliability in a Stochastic Hodgkin-Huxley Model ............. 261
Elad Schneidman, Barry Freedman, and Idan Segev
45. Can Stochastic Neurons Support Spatio-Temporal Codes ................... 267
Harel Shouval and Orner B. Artun
46. Modelling the Control of Calcium Oscillations by Phosphorylation of
Metabotropic Glutamate Receptors ................................. 273
Volker Steuber and David J. Willshaw
47. Monte Carlo Simulation of Neurotransmitter Release Using MCell, a General
Simulator of Cellular Physiological Processes ........................ 279
Joel R. Stiles, Thomas M. Bartol, Jr., Edwin E. Salpeter, and
Miriam M. Salpeter
48. Non-Linear Parameter Estimation of Membrane Properties in Xenopus
Embryonic Neurons ............................................. 285
Laurence Prime, Joel Tabak, Fran90is Tiaho, Benoit Saint-Mleux,
Yves Pichon, C. R. Murphey, and L. E. Moore
49. Cholinergic Modulation of Spike Timing and Spike Frequency Adaptation in
Neocortical Neurons ............................................ 291
A. C. Tang, A. M. Bartels, and T. J. Sejnowski
50. Noise Removal by Nonlinear Synapses .................................. 297
M. C. W. van Rossum and R. G. Smith
51. Temporal Coding with Oscillatory Sequences of Firing ..................... 303
Michael Wehr and Gilles Laurent
SECTION III: NETWORK
52. An Oscillating Cortical Network Model of Sensory-Motor Timing and
Cordination .................................................... 309
Bill Baird
53. Pattem-Generator-Driven Development in Self-Organizing Models ........... 317
James A. Bednar and Risto Miikkulainen
xii