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Refinado por: materia: Models, Theoretical eliminar Computer Simulation eliminar materia: Neural Networks eliminar Nerve Net eliminar
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1
String Tightening as a Self-Organizing Phenomenon
String Tightening as a Self-Organizing Phenomenon
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String Tightening as a Self-Organizing Phenomenon

Banerjee, B.

IEEE transactions on neural networks, 2007-09, Vol.18 (5), p.1463-1471

New York, NY: IEEE

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2
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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3
Spatio-Temporal Adaptation in the Unsupervised Development of Networked Visual Neurons
Spatio-Temporal Adaptation in the Unsupervised Development of Networked Visual Neurons
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Spatio-Temporal Adaptation in the Unsupervised Development of Networked Visual Neurons

Chen, Dongyue ; Zhang, Liming ; Weng, Juyang

IEEE transactions on neural networks, 2009-06, Vol.20 (6), p.992-1008

New York, NY: IEEE

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4
Computational Neuroscience: Cortical Dynamics: 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures
Computational Neuroscience: Cortical Dynamics: 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures
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Computational Neuroscience: Cortical Dynamics: 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures

Érdi, Péter ; Esposito, Anna ; Marinaro, Maria ; Scarpetta, Silvia Marinaro, Maria ; Scarpetta, Silvia ; Esposito, Anna ; Érdi, Péter

Berlin, Heidelberg: Springer Berlin Heidelberg 2004

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5
Periodic solution and chaotic strange attractor for shunting inhibitory cellular neural networks with impulses
Periodic solution and chaotic strange attractor for shunting inhibitory cellular neural networks with impulses
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Periodic solution and chaotic strange attractor for shunting inhibitory cellular neural networks with impulses

Gui, Zhanji ; Ge, Weigao

Chaos (Woodbury, N.Y.), 2006-09, Vol.16 (3), p.033116-033116-10 [Revista revisada por pares]

United States: American Institute of Physics

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6
Recognizing sequences of sequences
Recognizing sequences of sequences
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Recognizing sequences of sequences

Kiebel, Stefan J ; von Kriegstein, Katharina ; Daunizeau, Jean ; Friston, Karl J Kötter, Rolf

PLoS computational biology, 2009-08, Vol.5 (8), p.e1000464-e1000464 [Revista revisada por pares]

United States: Public Library of Science

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7
Numerical studies of slow rhythms emergence in neural microcircuits: Bifurcations and stability
Numerical studies of slow rhythms emergence in neural microcircuits: Bifurcations and stability
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Numerical studies of slow rhythms emergence in neural microcircuits: Bifurcations and stability

Komarov, M. A. ; Osipov, G. V. ; Suykens, J. A. K. ; Rabinovich, M. I.

Chaos (Woodbury, N.Y.), 2009-03, Vol.19 (1), p.015107-015107-8 [Revista revisada por pares]

United States: American Institute of Physics

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8
Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness
Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness
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Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness

Kravchuk, Kseniia ; Vidybida, Alexander

Mathematical biosciences and engineering : MBE, 2014-02, Vol.11 (1), p.81-104 [Revista revisada por pares]

United States

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9
Determination of the Number of Principal Directions in a Biologically Plausible PCA Model
Determination of the Number of Principal Directions in a Biologically Plausible PCA Model
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Determination of the Number of Principal Directions in a Biologically Plausible PCA Model

Lv, Jian Cheng ; Yi, Zhang ; Tan, Kok Kiong

IEEE transactions on neural networks, 2007-05, Vol.18 (3), p.910-916

New York, NY: IEEE

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10
Investigations on emergent spatio-temporal neural response characteristics in a small network model
Investigations on emergent spatio-temporal neural response characteristics in a small network model
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Investigations on emergent spatio-temporal neural response characteristics in a small network model

Quill, U ; Wörgötter, F

Biological cybernetics, 2000-10, Vol.83 (5), p.461-470 [Revista revisada por pares]

Germany: Springer Nature B.V

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