Weakly Connected Neural Networks

preview-18
  • Weakly Connected Neural Networks Book Detail

  • Author : Frank C. Hoppensteadt
  • Release Date : 2012-12-06
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 404
  • ISBN 13 : 1461218284
  • File Size : 19,19 MB

Weakly Connected Neural Networks by Frank C. Hoppensteadt PDF Summary

Book Description: Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as the major tools of analysis. It presents a systematic and well motivated development of both weakly connected system theory and mathematical neuroscience, addressing bifurcations in neuron and brain dynamics, synaptic organisations of the brain, and the nature of neural codes. The authors present classical results together with the most recent developments in the field, making this a useful reference for researchers and graduate students in various branches of mathematical neuroscience.

Disclaimer: www.yourbookbest.com does not own Weakly Connected Neural Networks books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Weakly Connected Neural Networks

Weakly Connected Neural Networks

File Size : 45,45 MB
Total View : 6388 Views
DOWNLOAD

Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as t

Natural Biodynamics

Natural Biodynamics

File Size : 36,36 MB
Total View : 6904 Views
DOWNLOAD

This comprehensive volume is a graduate-level text in human biodynamics, written in the unified categorical language of modern differential geometry and topolog