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<font face="Calibri">Dear colleagues,<br>
<br>
We are pleased to announce the release of a new book based on the
work in our lab:<br>
<br>
Chris Eliasmith. How to build a brain: A neural architecture for
biological cognition. Oxford University Press, New York, NY, 2013.<br>
<br>
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.[1]<br>
<br>
All of the software used in the book is available for free at <a
class="moz-txt-link-freetext" href="http://www.nengo.ca">http://www.nengo.ca</a>.
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 <a class="moz-txt-link-freetext"
href="https://github.com/ctn-waterloo/nengo_1.4">https://github.com/ctn-waterloo/nengo_1.4</a>
for those looking to work with (or contribute to) the development
version.<br>
<br>
We hope this book will spark some interesting conversations, and
eagerly invite any comments or discussion.<br>
<br>
Centre for Theoretical Neuroscience<br>
University of Waterloo<br>
<br>
<br>
[1] 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.<br>
<br>
<br>
<br>
<br>
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