Title: Weakly connected neural networks
First published: 1997
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.
Subjects: Neural networks (Computer science), Neural networks (neurobiology)
LC classification: QA1 .A647 vol. 126, QA76.87 .A647 vol. 126