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