Britt Anderson

Computational Neuroscience and Cognitive Modelling

A Student's Introduction to Methods and Procedures

• Broschiertes Buch

Produktbeschreibung

This unique, self-contained and accessible textbook provides an introduction to computational modelling in psychology and neuroscience accessible to students with little or no background in computing or mathematics.

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Produktdetails

• Verlag: Sage Publications Ltd
• Seitenzahl: 242
• Erscheinungstermin: 1. Januar 2014
• Englisch
• Abmessung: 244mm x 170mm x 14mm
• Gewicht: 414g
• ISBN-13: 9781446249307
• ISBN-10: 1446249301
• Artikelnr.: 39305612

Autorenporträt

Britt Anderson graduated from the University of Southern California School of Medicine and trained in Neurology at the University of Texas Southwestern Medical Center at Dallas. Subsequently, he received a PhD in Brain Science from Brown University. Since 2007 he has been a faculty member in the Dept of Psychology and a member of the Centre for Theoretical Neuroscience at the University of Waterloo, Canada.

Inhaltsangabe

Chapter 1: Introduction
PART 1: Modeling Neurons
Chapter 2: What is a Differential Equation?
Chapter 3: Numerical Application of a Differential Equation
Chapter 4: Intermezzo: Computing With Loops
Chapter 5: Integrate & Fire
Chapter 6: Intermezzo: Computing With If Statements
Chapter 7: Hodgkin & Huxley: The Men and Their Model
Chapter 8: Intermezzo: Computing With Functions
PART 2: Neural Networks
Chapter 9: Neural Network Mathematics: Vectors and Matrices
Chapter 10: Intermezzo: Interactive Computing
Chapter 11: An Introduction to Neural Networks
Chapter 12: Intermezzo: Interactive Exploration of the Delta Rule with
Octave
Chapter 13: Auto-associative Memory and the Hopfield Net
PART 3: Probability and Psychological Models
Chapter 14: What are the Odds?
Chapter 15: Decisions as Random Walks
Chapter 16: Intermezzo: Programming Psychophysical Experiments with Python
PART 4: Cognitive Modeling as Logic and Rules
Chapter 17: Boolean Logic
Chapter 18: Intermezzo: Computing With Functional Languages
Chapter 19: Production Rules and Cognition
Chapter 20: Intermezzo: Functional Coding of a Simple Production System
Chapter 21 ACT-R: A Cognitive Architecture
Chapter 22: Agent Based Modeling
Chapter 23: Concluding Remarks