Computational neuroscience and cognitive modelling : a student's introduction to methods and procedures /
Britt Anderson.
Bok Engelsk 2014
| Omfang | 1 online resource (226 pages) : : illustrations
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| Opplysninger | Description based upon print version of record.. - COVER; Contents; Preface; 1. An Introduction to the Ideas and Scope of Computational Methods in Psychology; Part I: Modelling Neurons; 2. What Is a Differential Equation?; 3. Numerical Application of a Differential Equation; 4. Intermezzo: Computing with Loops; 5. From Action Potentials to Programming Neurons: Integrate and Fire; 6. Intermezzo: Computing with if Statements; 7. Hodgkin and Huxley: The Men and Their Model; 8. Intermezzo: Computing with Functions; Part II: Neural Networks; 9. Neural Network Mathematics: Vectors and Matrices; 10. Intermezzo: Interactive Computing. - 11. An Introduction to Neural Networks12. Intermezzo: Interactive Exploration of the Delta Rule with Octave; 13. Auto-associative Memory and the Hopfield Net; Part III: Probability and Psychological Models; 14. What Are the Odds?; 15. Decisions as Random Walks; 16. Intermezzo: Programming Psychophysical Experiments with Python; Part IV: Cognitive Modelling as Logic and Rules; 17. Boolean Logic; 18. Intermezzo: Computing with Functional Languages; 19. Production Rules and Cognition; 20. Intermezzo: Functional Coding of a Simple Production System; 21. ACT-R: A Cognitive Architecture. - 22. Agent-Based Modelling23. Concluding Remarks; Notes; References; Index. - 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 spreadsheet 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 context; Numerous worked examples to demonstrate the themes and procedures of cognitive modelling.An excellent text for upper-level undergraduate and postgraduate students taking courses in research methods, computational neuroscience / computational modelling, and cognitive science / neuroscience. It will be especially valuable to psychology students.. - Specialized.
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| Emner | |
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| ISBN | 1-4462-4930-1. - 1-4462-8806-4. - 1-4462-9736-5. - 1-4462-9737-3. - 1-5264-8580-X
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