The Neural Simulation Language

A System for Brain Modeling

by

Alfredo Weitzenfeld (ITAM)

Michael Arbib (USC)

Amanda Alexander (USC)

MIT Press

July 2002

www.neuralsimulationlanguage.org

The NSL book is based on a totally restructured version 3.0 of the NSL simulator. The aim of the book is to provide a comprehensive description of the updated NSL software and to present a wide range of neural network models, both technological and biological, that have been implemented in NSL by different authors. The software accompanying the book as well as all models documented in the book can be obtained free of charge at our web site.

The book is divided as follows:

• Part I - Introduces the reader to NSL modeling capabilities together with tutorials on basic neural network models.
• Part II - Describes additional NSL based models contributed by different authors.

Table of Contents

Chapter

Cover, Contents and Preface

PART I

1 Introduction

2 Simulation in NSL

3 Modeling in NSL

4 Visual Modeling with SCS

5 Graphical User Interface

6 The NSLM Modeling Language

7 The NSLS Script Language

PART II

8 Adaptive Resonance Theory by Tanaka and Weitzenfeld

9 Depth Perception by Weitzenfeld and Arbib

10 Retina by Corbacho and Weitzenfeld

11 Receptive Fields by Moran, Chacón, Andrade and Weitzenfeld

12 The Associative Search Network: Landmark Learning and Hill Climbing by Bota and Guazzelli

13 A Model of Primate Visual-Motor Conditional Learning by Fagg and Weitzenfeld

14 The Modular Design of the Oculomotor System in Monkeys by Dominey, Arbib, and Alexander

15 Crowley-Arbib Saccade Model by Crowley, Oztop, and Mármol

16 A Cerebellar Model of Sensorimotor Adaptation by Spoelstra

17 Learning to Detour by Corbacho and Weitzenfeld

18 Face Recognition by Dynamic Link Matching by Wiskott, von der Malsburg and Weitzenfeld

Appendices

AI NSLM Methods

AII NSLJ Extensions

AIII NSLC Extensions

AIV NSLJ and NSLC Differences

AV NSLJ and NSLC Installation Instructions

Bibliography

Index