Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series
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Published By Springer International Publishing

9783319710471, 9783319710488

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A Memristor-Based Cell for Complexity

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_8 ◽

2018 ◽

pp. 133-141

Author(s):

Arturo Buscarino ◽

Claudia Corradino ◽

Luigi Fortuna ◽

Mattia Frasca ◽

Viet-Thanh Pham

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Characterization of Neural Signals in Preclinical Studies of Neural Plasticity Using Nonlinear Time Series Analysis

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_3 ◽

2018 ◽

pp. 33-52

Author(s):

Fabio Vallone ◽

Matteo Caleo ◽

Angelo Di Garbo

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Neural Plasticity ◽

Nonlinear Time Series ◽

Nonlinear Time Series Analysis ◽

Preclinical Studies ◽

Neural Signals ◽

Series Analysis

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Chimera States in Pulse Coupled Neural Networks: The Influence of Dilution and Noise

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_5 ◽

2018 ◽

pp. 65-79

Author(s):

Simona Olmi ◽

Alessandro Torcini

Keyword(s):

Neural Networks ◽

Chimera States ◽

Coupled Neural Networks ◽

Pulse Coupled Neural Networks

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Memristor and Memristor Circuit Modelling Based on Methods of Nonlinear System Theory

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_7 ◽

2018 ◽

pp. 99-132 ◽

Cited By ~ 1

Author(s):

A. Ascoli ◽

R. Tetzlaff ◽

M. Biey

Keyword(s):

System Theory ◽

Nonlinear System ◽

Circuit Modelling

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Nanotechnologies for Neurosciences

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_6 ◽

2018 ◽

pp. 81-98

Author(s):

A. Aloisi ◽

D. Pisignano ◽

R. Rinaldi

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Next Generation Neural Mass Models

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_1 ◽

2018 ◽

pp. 1-16 ◽

Cited By ~ 16

Author(s):

Stephen Coombes ◽

Áine Byrne

Keyword(s):

Next Generation ◽

Neural Mass

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Functional Cliques in Developmentally Correlated Neural Networks

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_4 ◽

2018 ◽

pp. 53-64

Author(s):

Stefano Luccioli ◽

Ari Barzilai ◽

Eshel Ben-Jacob ◽

Paolo Bonifazi ◽

Alessandro Torcini

Keyword(s):

Neural Networks

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Unraveling Brain Modularity Through Slow Oscillations

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series ◽

10.1007/978-3-319-71048-8_2 ◽

2018 ◽

pp. 17-31

Author(s):

Maurizio Mattia ◽

Maria V. Sanchez-Vives

Keyword(s):

Slow Oscillations

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Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer SeriesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Memristor-Based Cell for Complexity

Characterization of Neural Signals in Preclinical Studies of Neural Plasticity Using Nonlinear Time Series Analysis

Chimera States in Pulse Coupled Neural Networks: The Influence of Dilution and Noise

Memristor and Memristor Circuit Modelling Based on Methods of Nonlinear System Theory

Nanotechnologies for Neurosciences

Next Generation Neural Mass Models

Functional Cliques in Developmentally Correlated Neural Networks

Unraveling Brain Modularity Through Slow Oscillations

Nonlinear Dynamics in Computational Neuroscience - PoliTO Springer Series
Latest Publications