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1
The symbolic and connectionist paradigms closing the gap
The symbolic and connectionist paradigms closing the gap
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The symbolic and connectionist paradigms closing the gap

John Dinsmore 1949-

Hillsdale, N.J. L. Erlbaum Associates 1992

Localização: IP - Instituto de Psicologia    (BF311 D587s e.1 )(Acessar)

2
Connectionist modeling and brain function the developing interface
Connectionist modeling and brain function the developing interface
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Connectionist modeling and brain function the developing interface

Stephen José Hanson; Carl R Olson

Cambridge, Mass. MIT Press c1990

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (681.3:612.8 H251c )(Acessar)

3
Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
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Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks

Chen, Jiejie ; Zeng, Zhigang ; Jiang, Ping

Neural networks, 2014-03, Vol.51, p.1-8 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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4
Experimental demonstration of associative memory with memristive neural networks
Experimental demonstration of associative memory with memristive neural networks
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Experimental demonstration of associative memory with memristive neural networks

Pershin, Yuriy V. ; Di Ventra, Massimiliano

Neural networks, 2010-09, Vol.23 (7), p.881-886 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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5
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
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NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data

Kasabov, Nikola K.

Neural networks, 2014-04, Vol.52, p.62-76 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

Xu, Bin ; Yang, Chenguang ; Shi, Zhongke

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.635-641

New York, NY: IEEE

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7
Projective synchronization for fractional neural networks
Projective synchronization for fractional neural networks
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Projective synchronization for fractional neural networks

Yu, Juan ; Hu, Cheng ; Jiang, Haijun ; Fan, Xiaolin

Neural networks, 2014-01, Vol.49, p.87-95 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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8
Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis
Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis
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Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis

Wang, Huanqing ; Chen, Bing ; Liu, Kefu ; Liu, Xiaoping ; Lin, Chong

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.947-958

New York, NY: IEEE

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9
Re-visiting the echo state property
Re-visiting the echo state property
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Re-visiting the echo state property

Yildiz, Izzet B. ; Jaeger, Herbert ; Kiebel, Stefan J.

Neural networks, 2012-11, Vol.35, p.1-9 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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10
Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays
Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays
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Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays

Li, Xiaodi ; Song, Shiji

IEEE transaction on neural networks and learning systems, 2013-06, Vol.24 (6), p.868-877

New York, NY: IEEE

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Deste Autor:

  1. Olson, C
  2. Hanson, S
  3. Dinsmore, J

Neste Assunto:

  1. Models, Neurological
  2. Models, Neurological
  3. Artificial Intelligence
  4. Exact Sciences And Technology
  5. Applied Sciences

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