Weakly Connected Neural Networks (1997) (Applied Mathematical Sciences #126)
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- Synopsis
- 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.
- Copyright:
- 1997
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781461218289
- Related ISBNs:
- 9780387949482
- Publisher:
- Springer New York
- Date of Addition:
- 02/23/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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