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  Neural Networks and Architectures

Aihara, K., Okada, M., Adachi, M., & Watanabe, M. (2009). Neural Networks and Architectures. In M. Binder, N. Hirokawa, & U. Windhorst (Eds.), Encyclopedia of Neuroscience (pp. 2588-2592). Berlin, Germany: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C609-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-09F8-C
Genre: Book Chapter

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 Creators:
Aihara, K, Author
Okada , M, Author
Adachi, M, Author
Watanabe, M1, Author              
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: Neural networks, here, mean mathematical models of biological neural networks composed of neurons. There have been many works on neural networks since the seminal paper by McCulloch and Pitts in 1943 [1]. Although neurons are connected through synapses in complicated ways in the living brain, typical architectures of neural network models are classified into feedforward networks and feedback networks as shown in Fig. 1.

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 Dates: 2009
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/978-3-540-29678-2_3794
BibTex Citekey: 7094
 Degree: -

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Title: Encyclopedia of Neuroscience
Source Genre: Book
 Creator(s):
Binder, MD, Editor
Hirokawa, N, Editor
Windhorst, U, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: 14 Sequence Number: - Start / End Page: 2588 - 2592 Identifier: ISBN: 978-3-540-29678-2