[FoRK] [Comp-neuro] New book release: "How to build a brain: A neural architecture for biological cognition"
eugen at leitl.org
Tue Jun 25 05:46:40 PDT 2013
----- Forwarded message from Daniel Rasmussen <drasmuss at cs.uwaterloo.ca> -----
Date: Mon, 24 Jun 2013 14:06:58 -0400
From: Daniel Rasmussen <drasmuss at cs.uwaterloo.ca>
To: comp-neuro at neuroinf.org
Subject: [Comp-neuro] New book release: "How to build a brain: A neural architecture for biological cognition"
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We are pleased to announce the release of a new book based on the work
in our lab:
Chris Eliasmith. How to build a brain: A neural architecture for
biological cognition. Oxford University Press, New York, NY, 2013.
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. Examples of such models are provided, and they
are shown to explain a wide range of data. 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.
All of the software used in the book is available for free at
http://www.nengo.ca. The book includes 8 detailed, hands-on tutorials
that exploit this software, providing practical experience with the
concepts and models presented throughout. In addition, all the source
code for this project is available at
https://github.com/ctn-waterloo/nengo_1.4 for those looking to work
with (or contribute to) the development version.
We hope this book will spark some interesting conversations, and
eagerly invite any comments or discussion.
Centre for Theoretical Neuroscience
University of Waterloo
 Eliasmith,C. T.C. Stewart, X. Choo, T. Bekolay, T. DeWolf, Y.
Tang, and D. Rasmussen. A large-scale model of the functioning brain.
Science, 338:1202-1205, 2012.
Comp-neuro mailing list
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