Mathematical and Theoretical Neuroscience - Springer INdAM Series
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Published By Springer International Publishing

9783319682969, 9783319682976

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Theory and Application of Nonlinear Time Series Analysis

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_12 ◽

2017 ◽

pp. 177-200

Author(s):

Angelo Di Garbo

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Nonlinear Time Series ◽

Nonlinear Time Series Analysis ◽

Series Analysis

Measures of Spike Train Synchrony and Directionality

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_13 ◽

2017 ◽

pp. 201-222

Author(s):

Eero Satuvuori ◽

Irene Malvestio ◽

Thomas Kreuz

Keyword(s):

Spike Train

Inverse Modeling for MEG/EEG Data

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_15 ◽

2017 ◽

pp. 239-253 ◽

Cited By ~ 2

Author(s):

Alberto Sorrentino ◽

Michele Piana

Keyword(s):

Inverse Modeling ◽

Eeg Data

Exergaming for Autonomous Rehabilitation

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_10 ◽

2017 ◽

pp. 151-160

Author(s):

Nunzio Alberto Borghese

Computational Modeling as a Means to Defining Neuronal Spike Pattern Behaviors

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_2 ◽

2017 ◽

pp. 25-43 ◽

Cited By ~ 2

Author(s):

Siva Venkadesh ◽

Giorgio A. Ascoli

Keyword(s):

Computational Modeling ◽

Spike Pattern ◽

Neuronal Spike

Simultaneous Jumps in Interacting Particle Systems: From Neuronal Networks to a General Framework

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_6 ◽

2017 ◽

pp. 99-110

Author(s):

Luisa Andreis ◽

Paolo Dai Pra ◽

Markus Fischer

Keyword(s):

General Framework ◽

Neuronal Networks ◽

Interacting Particle Systems ◽

Particle Systems ◽

Interacting Particle

Neural Fields: Localised States with Piece-Wise Constant Interactions

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_7 ◽

2017 ◽

pp. 111-121

Author(s):

Aytül Gökçe ◽

Stephen Coombes ◽

Daniele Avitabile

Keyword(s):

Neural Fields ◽

Localised States

Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_14 ◽

2017 ◽

pp. 223-237

Author(s):

Ioannis Delis ◽

Arno Onken ◽

Stefano Panzeri

Keyword(s):

Tensor Decomposition ◽

Single Trial ◽

Neural Signals ◽

Single Trial Analysis ◽

Trial Analysis

Chemotactic Guidance of Growth Cones: A Hybrid Computational Model

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_3 ◽

2017 ◽

pp. 45-59

Author(s):

Iolanda Morana Roccasalvo ◽

Silvestro Micera ◽

Pier Nicola Sergi

Keyword(s):

Computational Model ◽

Growth Cones

From Single Neuron Activity to Network Information Processing: Simulating Cortical Local Field Potentials and Thalamus Dynamic Regimes with Integrate-and-Fire Neurons

Mathematical and Theoretical Neuroscience - Springer INdAM Series ◽

10.1007/978-3-319-68297-6_1 ◽

2017 ◽

pp. 1-23

Author(s):

Alberto Mazzoni

Keyword(s):

Information Processing ◽

Local Field ◽

Single Neuron ◽

Local Field Potentials ◽

Neuron Activity ◽

Field Potentials ◽

Network Information ◽

Integrate And Fire ◽

Single Neuron Activity

Mathematical and Theoretical Neuroscience - Springer INdAM SeriesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Theory and Application of Nonlinear Time Series Analysis

Measures of Spike Train Synchrony and Directionality

Inverse Modeling for MEG/EEG Data

Exergaming for Autonomous Rehabilitation

Computational Modeling as a Means to Defining Neuronal Spike Pattern Behaviors

Simultaneous Jumps in Interacting Particle Systems: From Neuronal Networks to a General Framework

Neural Fields: Localised States with Piece-Wise Constant Interactions

Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

Chemotactic Guidance of Growth Cones: A Hybrid Computational Model

From Single Neuron Activity to Network Information Processing: Simulating Cortical Local Field Potentials and Thalamus Dynamic Regimes with Integrate-and-Fire Neurons

Mathematical and Theoretical Neuroscience - Springer INdAM Series
Latest Publications