Computational Neuroscience and Cognitive Modelling

A Student's Introduction to Methods and Procedures

Nonfiction, Health & Well Being, Psychology, Testing & Measurement, Cognitive Psychology
Cover of the book Computational Neuroscience and Cognitive Modelling by Britt Anderson, SAGE Publications
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Britt Anderson ISBN: 9781446297360
Publisher: SAGE Publications Publication: January 8, 2014
Imprint: SAGE Publications Ltd Language: English
Author: Britt Anderson
ISBN: 9781446297360
Publisher: SAGE Publications
Publication: January 8, 2014
Imprint: SAGE Publications Ltd
Language: English

"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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

"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:

 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.

More books from SAGE Publications

Cover of the book Personality Psychology by Britt Anderson
Cover of the book The Elections of 2016 by Britt Anderson
Cover of the book Flipping Leadership Doesn’t Mean Reinventing the Wheel by Britt Anderson
Cover of the book Case Theory in Business and Management by Britt Anderson
Cover of the book Victimology by Britt Anderson
Cover of the book Social Entrepreneurship by Britt Anderson
Cover of the book Qualitative Longitudinal Methods by Britt Anderson
Cover of the book Simple Strategies for Teaching Children at Risk, K-5 by Britt Anderson
Cover of the book Restarting Stalled Research by Britt Anderson
Cover of the book India Macroeconomics Annual 2010 by Britt Anderson
Cover of the book Working in Policing by Britt Anderson
Cover of the book From Conflict to Conciliation by Britt Anderson
Cover of the book How Successful Schools Work by Britt Anderson
Cover of the book The SAGE Handbook of Interview Research by Britt Anderson
Cover of the book Trauma and Transformation by Britt Anderson
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy