Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science
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9783540422358, 9783540457206

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What Can We Compute with Lateral Inhibition Circuits?

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_5 ◽

2001 ◽

pp. 38-46 ◽

Cited By ~ 4

Author(s):

Josrosee Mira ◽

Ana E. Delgado

Keyword(s):

Lateral Inhibition

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Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_61 ◽

2001 ◽

pp. 514-521 ◽

Cited By ~ 4

Author(s):

G. Gutiérrez ◽

P. Isasi ◽

J. M. Molina ◽

A. Sanchís ◽

I. M. Galván

Keyword(s):

Neural Networks ◽

Feed Forward ◽

Feed Forward Neural Networks

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AUTOWISARD: Unsupervised Modes for the WISARD

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_51 ◽

2001 ◽

pp. 435-441 ◽

Cited By ~ 4

Author(s):

Iuri Wickert ◽

Felipe M. G. França

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A Neural Network Model of Working Memory (Processing of “What” and “Where” Information)

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_15 ◽

2001 ◽

pp. 126-133 ◽

Cited By ~ 1

Author(s):

Tetsuto Minami ◽

Toshio Inui

Keyword(s):

Neural Network ◽

Working Memory ◽

Network Model ◽

Neural Network Model ◽

Memory Processing

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Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_25 ◽

2001 ◽

pp. 215-222

Author(s):

Shunji Satoh ◽

Shogo Miyake ◽

Hirotomo Aso

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Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_88 ◽

2001 ◽

pp. 733-740 ◽

Cited By ~ 2

Author(s):

Terence Kwok ◽

Kate A. Smith

Keyword(s):

Neural Network ◽

Nonlinear System ◽

System Dynamics ◽

Combinatorial Optimisation

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Initialization in Genetic Algorithms for Constraint Satisfaction Problems

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_83 ◽

2001 ◽

pp. 693-700 ◽

Cited By ~ 1

Author(s):

Camino R. Vela ◽

Ramiro Varela ◽

Jorge Puente

Keyword(s):

Genetic Algorithms ◽

Constraint Satisfaction ◽

Constraint Satisfaction Problems

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Solving NP-Complete Problems with Networks of Evolutionary Processors

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_74 ◽

2001 ◽

pp. 621-628 ◽

Cited By ~ 41

Author(s):

Juan Castellanos ◽

Carlos Martín-Vide ◽

Victor Mitrana ◽

Jose M. Sempere

Keyword(s):

Complete Problems ◽

Np Complete

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Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_7 ◽

2001 ◽

pp. 55-62 ◽

Cited By ~ 2

Author(s):

J. M. Ferrández ◽

M. Bongard ◽

F. García de Quiros ◽

J. A. Bolea ◽

J. Ammermü ◽

...

Keyword(s):

Information Theory ◽

Population Responses

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Optimization with Linear Constraints in the Neural Network

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-45720-8_67 ◽

2001 ◽

pp. 561-569

Author(s):

Mikiya Oota ◽

Naohiro Ishii ◽

Kouichiro Yamauchi ◽

Mayumi Nakamura

Keyword(s):

Neural Network ◽

Linear Constraints ◽

The Neural Network

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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

What Can We Compute with Lateral Inhibition Circuits?

Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures

AUTOWISARD: Unsupervised Modes for the WISARD

A Neural Network Model of Working Memory (Processing of “What” and “Where” Information)

Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources

Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation

Initialization in Genetic Algorithms for Constraint Satisfaction Problems

Solving NP-Complete Problems with Networks of Evolutionary Processors

Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory

Optimization with Linear Constraints in the Neural Network

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence - Lecture Notes in Computer Science
Latest Publications