Springer Dordrecht Heidelberg London New YorkISBN 978-1-4419-0388-4
e-ISBN 978-1-4419-0389-1
C Springer Science+Business Media, LLC 2009
Book Description,
New developments in experimental methods are leading to an increasingly detailed description of how networks of interacting neurons process information. These findings strongly suggest that dynamic network behaviors underlie information processing, and that these activity patterns cannot be fully explained by simple concepts such as synchrony and phase locking. These new results raise significant challenges, and at the same time offer exciting opportunities, for experimental and theoretical neuroscientists. Moreover, advances in understanding in this area will require interdisciplinary efforts aimed at developing improved quantitative models that provide new insight into the emergence and function of experimentally observed behaviors and lead to predictions that can guide future experimental investigations.
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New developments in experimental methods are leading to an increasingly detailed description of how networks of interacting neurons process information. These findings strongly suggest that dynamic network behaviors underlie information processing, and that these activity patterns cannot be fully explained by simple concepts such as synchrony and phase locking. These new results raise significant challenges, and at the same time offer exciting opportunities, for experimental and theoretical neuroscientists. Moreover, advances in understanding in this area will require interdisciplinary efforts aimed at developing improved quantitative models that provide new insight into the emergence and function of experimentally observed behaviors and lead to predictions that can guide future experimental investigations.
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