How to build a brain: a neural architecture for biological cognition
Series: Oxford series on cognitive models and architecturesPublication details: Oxford University Press, 2015. New York:Description: xvii, 456 p. : ill. ; pb, 26 cmISBN:- 9780190262129
- 612.82 ELI
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Books | IIT Gandhinagar General Stacks | General | 612.82 ELI (Browse shelf(Opens below)) | 1 | Available | 030220 |
Browsing IIT Gandhinagar shelves, Shelving location: General Stacks, Collection: General Close shelf browser (Hides shelf browser)
612.82 DOR How the brain works | 612.82 EAG Brain: the story of you | 612.82 EAG Livewired: the inside story of the ever-changing brain | 612.82 ELI How to build a brain: a neural architecture for biological cognition | 612.82 GAZ Cognitive Neurosciences | 612.82 LEV Introduction to neural and cognitive modeling | 612.8233 COB Idea of the brain: a history |
Includes bibliographical references (pages 417-445) and index.
One goal of researchers in neuroscience, psychology, and artificial intelligence is to build theoretical models that are able to explain the flexibility and adaptiveness of biological systems. How to build a brain provides a detailed guided exploration of a new cognitive architecture that takes biological detail seriously, while addressing cognitive phenomena. The Semantic Pointer Architecture (SPA) introduced in this book provides a set of tools for constructing a wide range of biologically constrained perceptual, cognitive, and motor models. Examples of such models are provided, and they are shown to explain a wide range of data including single cell recordings, neural population activity, reaction times, error rates, choice behavior, and fMRI signals. Each of these models introduces a major feature of biological cognition addressed in the book, including semantics, syntax, control, learning, and memory. These models are not introduced as independent considerations of brain function but instead integrated to give rise to what is currently the world's largest functional brain model. Along the way, the book considers neural coding, concept representation, neural dynamics, working memory, neuroanatomy, reinforcement learning, and spike-timing-dependent plasticity. The book includes 8 detailed, hands-on tutorials exploiting the free Nengo neural simulation environment, providing practical experience with the concepts and models presented throughout.
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