Robotics & Artificial Intelligence, Artificial Intelligence (AI), Robotics & Artificial Intelligence
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Overview
Weakly Connected Neural Networks is devoted to local and global analysis of weakly connected systems with applications to neurosciences. Using bifurcation theory and canonical models as the major tools of analysis, it presents systematic and well-motivated development of both weakly connected system theory and mathematical neuroscience. Weakly Connected Neural Networks will be useful to researchers and graduate students in various branches of mathematical neuroscience.Book Details
Published
December 31, 2012
Publisher
Springer-Verlag New York, LLC
Pages
418
Format
Hardcover
ISBN
9781461273028