Weakly connected neural networks
By: Frank C. Hoppensteadt, Eugene M. Izhikevich.
Contributors: Izhikevich, Eugene M.
Series: Applied mathematical sciences ;; v. 126; Applied mathematical sciences (Springer-Verlag New York Inc.) ;; v. 126.
Publisher: Springer
Published: 1997
Place of publication: New York
Language: eng
Number of pages: 400
Subjects: Neural networks (Computer science)
Description: 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.
Notes: Includes bibliographical references (p. [381]-393) and index.