Modeling in the Neurosciences : From Biological Systems to Neuromimetic Robotics.
Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rules. Even the more biologically based ""in...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Hoboken :
Taylor and Francis,
2004.
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| Edition: | 2nd ed. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rules. Even the more biologically based ""integrate and fire"" and ""compartmental"" styles of modeling suffer from oversimplification in the former case and excessive discretization in the second. This book introduces an integrative approach to modeling neurons and neuronal circuits that retains the integrity of the biological units at all hierarchica. |
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| Physical Description: | 1 online resource (742 pages) |
| ISBN: | 0203483324 9780203483329 0415328683 9780415328685 |