From Natural to Artificial Neural Computation : International Workshop on Artificial Neural Networks, Malaga-Torremolinos, Spain, June 7 – 9, 1995 Proceedings. 1st ed. 1995

種類:

電子ブック

責任表示:

edited by Jose Mira, Francisco Sandoval

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1995

著者名:

• Mira, Jose.
• Sandoval, Francisco.
• SpringerLink (Online service)

シリーズ名:

Lecture Notes in Computer Science ; 930

ISBN:

9783540492887 [3540492887]    

注記:

Are there universal principles of brain computation? -- Modeling cortical networks -- Cooperative organization of connectivity patterns and receptive fields in the visual pathway: application to adaptive tresholding -- Neurobiological inspiration for the architecture and functioning of cooperating neural networks -- Synaptic modulation based artificial neural networks -- Self-organization of cortical receptive fields and columnar structures in a Hebb-trained neural network -- An analytical solution of the compartmental model for use in local learning in artificial neural networks -- Should ANN be ANGN? -- Modeling retinal high and low contrast sensitivity filters -- Neural micro-structures three simple models -- Adaptive hierarchical structures -- Optimal range of input resistance in the oscillatory behavior of the pancreatic ?-cell -- A computational model of periodic-pattern-selective cells -- Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern -- A neural netw
This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995. The book contains 143 revised papers selected from a wealth of submissions and five invited contributions; it covers all current aspects of neural computation and presents the state of the art of ANN research and applications. The papers are organized in sections on neuroscience, computational models of neurons and neural nets, organization principles, learning, cognitive science and AI, neurosimulators, implementation, neural networks for perception, and neural networks for communication and control.

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