Weakly Connected Neural Networks is popular PDF and ePub book, written by Frank C. Hoppensteadt in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Weakly Connected Neural Networks can be Read Online from any device for your convenience.
Weakly Connected Neural Networks Book PDF Summary
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.
Detail Book of Weakly Connected Neural Networks PDF
- Author : Frank C. Hoppensteadt
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461218289
- Genre : Mathematics
- Total Page : 404 pages
- Language : English
- PDF File Size : 12,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Weakly Connected Neural Networks by Frank C. Hoppensteadt, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.