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  Information from Structure: A Sketch of Neuroanatomy

Braitenberg, V. (1991). Information from Structure: A Sketch of Neuroanatomy. In E. Domany, J. van Hemmen, & K. Schulten (Eds.), Models of Neural Networks (pp. 107-120). New York, NY, USA: Springer. doi:10.1007/978-3-642-79814-6_2.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-EE67-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-F5BE-1
Genre: Book Chapter

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https://link.springer.com/content/pdf/10.1007%2F978-3-642-97171-6_2.pdf (Publisher version)
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 Creators:
Braitenberg, V1, 2, Author           
Affiliations:
1Former Department Structure and Function of Natural Nerve-Net, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497803              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: After the discovery of electrical phenomena in brains, which suggested recording with electrodes as the obvious approach to the problem of cerebral function, the field of neuroanatomy underwent a long period of stagnation. It is now once more an important source of information, which model makers are tapping abundantly (those who are not would be well advised to consider doing so).

I will sketch a short overview of the main trends in neuroanatomy, past and present, and then try to establish something like a method for us to follow when translating the information on the structure of a brain into statements about its operation.

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 Dates: 19951991
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: BibTex Citekey: 6923
DOI: 10.1007/978-3-642-79814-6_2
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Title: Models of Neural Networks
Source Genre: Book
 Creator(s):
Domany, E, Editor
van Hemmen, JL, Editor
Schulten, K, Editor
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Publ. Info: New York, NY, USA : Springer
Pages: 345 Volume / Issue: - Sequence Number: - Start / End Page: 107 - 120 Identifier: ISBN: 0-387-51109-1

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Title: Physics of Neural Networks
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -