Neural codes and distributed representations : foundations of neural computation / edited by Laurence Abbott and Terrence J. Sejnowski.

Format:

Book

Contributor:

Abbott, L. F.

Sejnowski, Terrence J. (Terrence Joseph)

Series:

Computational neuroscience.

Computational neuroscience

Language:

English

Subjects (All):

Neural networks (Neurobiology).

Coding theory.

Physical Description:

1 online resource (xxiii, 345 pages) : illustrations.

Place of Publication:

Cambridge, Mass. : MIT Press, ©1999.

Language Note:

English

Summary:

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations collects, by topic, the most significant papers that have appeared in the journal over the past nine years. The present volume focuses on neural codes and representations, topics of broad interest to neuroscientists and modelers. The topics addressed are: how neurons encode information through action potential firing patterns, how populations of neurons represent information, and how individual neurons use dendritic processing and biophysical properties of synapses to decode spike trains. The papers encompass a wide range of levels of investigation, from dendrites and neurons to networks and systems.

Contents:

Introduction

1. Deciphering the Brain's Codes / Masakazu Konishi

2. A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors / Alexander V. Lukashin and Apostolos P. Georgopoulos

3. Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals / Siming Lin, Jennie Si and A.B. Schwartz

4. Theoretical Considerations for the Analysis of Population Coding in Motor Cortex / Terrence D. Sanger

5. Statistically Efficient Estimation Using Population Coding / Alexandre Pouget, Kechen Zhang, Sophie Deneve and Peter E. Latham

6. Parameter Extraction from Population Codes: A Critical Assessment / Herman P. Snippe

7. Energy Efficient Neural Codes / William B. Levy and Robert A. Baxter

8. Seeing Beyond the Nyquist Limit / Daniel L. Ruderman and William Bialek

9. A Model of Spatial Map Formation in the Hippocampus of the Rat / Kenneth I. Blum and L.F. Abbott

10. Probabilistic Interpretation of Population Codes / Richard S. Zemel, Peter Dayan and Alexandre Pouget

11. Cortical Cells Should Fire Regularly, But Do Not / William R. Softky and Christof Koch

12. Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset / Guido Bugmann, Chris Christodoulou and John G. Taylor

13. Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cell / Todd W. Troyer and Kenneth D. Miller

14. Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold / Fabrizio Gabbiani and Christof Koch

15. Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey / Wyeth Bair and Christof Koch

16. Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors / M. Griniasty, M.V. Tsodyks and Daniel J. Amit

17. Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses / Dean V. Buonomano and Michael D. Mauk

18. Gamma Oscillation Model Predicts Intensity Coding by Phase Rather than Frequency / Roger D. Traub, Miles A. Whittington and John G.R. Jefferys

19. Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model / Venkatesh N. Murthy and Eberhard E. Fetz

20. NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron / Bartlett W. Mel

21. The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells / Moshe Rappe, Yosef Yarom and Idan Segev

Index.

Notes:

"A Bradford book."

OCLC-licensed vendor bibliographic record.

ISBN:

0-262-28756-0

0-585-10899-4

OCLC:

44958568