Computational Neuroscience and Cognitive Modelling

A Student's Introduction to Methods and Procedures

Häftad, Engelska, 2014

AvBritt Anderson

2 239 kr

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"For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed."

- Anjan Chatterjee, Professor of Neurology, University of Pennsylvania

"Anderson provides a gentle introduction to computational aspects of psychological science, managing to respect the reader’s intelligence while also being completely unintimidating. Using carefully-selected computational demonstrations, he guides students through a wide array of important approaches and tools, with little in the way of prerequisites...I recommend it with enthusiasm."
- Asohan Amarasingham, The City University of New York

This unique, self-contained and accessible textbook provides an introduction to computational modelling neuroscience accessible to readers with little or no background in computing or mathematics. Organized into thematic sections, the book spans from modelling integrate and firing neurons to playing the game Rock, Paper, Scissors in ACT-R. This non-technical guide shows how basic knowledge and modern computers can be combined for interesting simulations, progressing from early exercises utilizing spreadsheets, to simple programs in Python. Key Features include:

Interleaved chapters that show how traditional computing constructs are simply disguised versions of the spread sheet methods.
Mathematical facts and notation needed to understand the modelling methods are presented at their most basic and are interleaved with biographical and historical notes for contex.
Numerous worked examples to demonstrate the themes and procedures of cognitive modelling.

An excellent text for postgraduate students taking courses in research methods, computational neuroscience, computational modelling, cognitive science and neuroscience. It will be especially valuable to psychology students.

Produktinformation

Utgivningsdatum2014-01-14
Mått170 x 242 x 15 mm
Vikt410 g
FormatHäftad
SpråkEngelska
Antal sidor240
Upplaga1
FörlagSAGE Publications
ISBN9781446249307

Tillhör följande kategorier

Psykologisk metod inom Psykologi och pedagogik

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.

Chapter 1: IntroductionPART 1: Modeling NeuronsChapter 2: What is a Differential Equation?Chapter 3: Numerical Application of a Differential EquationChapter 4: Intermezzo: Computing With LoopsChapter 5: Integrate & FireChapter 6: Intermezzo: Computing With If StatementsChapter 7: Hodgkin & Huxley: The Men and Their ModelChapter 8: Intermezzo: Computing With FunctionsPART 2: Neural NetworksChapter 9: Neural Network Mathematics: Vectors and MatricesChapter 10: Intermezzo: Interactive ComputingChapter 11: An Introduction to Neural NetworksChapter 12: Intermezzo: Interactive Exploration of the Delta Rule with OctaveChapter 13: Auto-associative Memory and the Hopfield NetPART 3: Probability and Psychological ModelsChapter 14: What are the Odds?Chapter 15: Decisions as Random WalksChapter 16: Intermezzo: Programming Psychophysical Experiments with PythonPART 4: Cognitive Modeling as Logic and RulesChapter 17: Boolean LogicChapter 18: Intermezzo: Computing With Functional LanguagesChapter 19: Production Rules and CognitionChapter 20: Intermezzo: Functional Coding of a Simple Production SystemChapter 21 ACT-R: A Cognitive ArchitectureChapter 22: Agent Based ModelingChapter 23: Concluding Remarks

For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed. Britt Anderson guides the reader into the world of computational methods; writing lucidly and grounding this journey with elegantly constructed exercises. His slender book is an invitation to use tools that will help students and scientists think about neural and psychological mechanisms with rigor and precision.