Computational Neuroscience and Cognitive Modelling [PDF] [StormRG]seeders: 75
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Computational Neuroscience and Cognitive Modelling [PDF] [StormRG] (Size: 1.55 MB)
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Author: Britt Anderson
Paperback: 240 pages Publisher: SAGE Publications Ltd; 1 edition (January 8, 2014) Language: English ISBN-10: 1446249301 ISBN-13: 978-1446249307 Format: Retail PDF Reader Required: Adobe Reader, Foxit, Nitro, Adobe Digital Editions Note: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Tested on the above readers with no problems on laptop and Android tablet. Don't hesitate to PM me if you have any questions or problem with the download, as comments on the torrent are easy to miss. Please allow a couple seconds for the seedboxes to kick in, then it should move pretty quick. Hope it helps in your studies. Go for it! :D Cover from actual book file 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. Sharing Widget |
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