Nonlinear dynamics in computational neuroscience. ([2018])
- Record Type:
- Book
- Title:
- Nonlinear dynamics in computational neuroscience. ([2018])
- Main Title:
- Nonlinear dynamics in computational neuroscience
- Further Information:
- Note: Fernando Corinto, Alessandro Torcini, editors.
- Editors:
- Corinto, Fernando
Torcini, Alessandro - Contents:
- Characterization of Neural Signals in Preclinical Studies of Neural Plasticity Using Nonlinear Time Series Analysis1 Introduction; 2 Linear and Nonlinear Time Series Analysis Methods; 2.1 Spectral Methods; 2.2 Coupling Measures; 2.3 Power Law Correlations; 3 Characterization of Local Field Potentials in Preclinical Studies of Neural Plasticity; 3.1 Spectral Properties and Inter-hemispheric Coupling Directionality in a Model of Focal Epilepsy; 3.2 Post-stroke Modifications of Inter-hemispheric Coupling in Low Frequency Band; 3.3 Scaling Properties of LFPs in EE Rearing Condition 4 Discussion and ConclusionReferences; Functional Cliques in Developmentally Correlated Neural Networks; 1 Introduction; 2 Model and Methods; 2.1 Correlations; 2.2 Functional Connectivity; 3 Results; 3.1 Single Neuron Stimulation and Deletion Experiments; 3.2 The Clique of Functional Hubs; 4 Discussion; References; Chimera States in Pulse Coupled Neural Networks: The Influence of Dilution and Noise; 1 Introduction; 2 The Model; 3 Fully Coupled Network: Phase Diagram; 4 Diluted Networks; 5 Noisy Dynamics; 6 Discussion; References; Nanotechnologies for Neurosciences; 1 Introduction Memristor and Memristor Circuit Modelling Based on Methods of Nonlinear System Theory1 Introduction; 2 One-Memristor Circuits; 2.1 Memristor Model; 2.2 Application of the Theory to One-Memristor Circuits; 2.3 Circuit Dynamic Equations; 2.4 Analytical Derivation of Volterra Kernels; 2.5 Response to a Sine-Wave Input; 2.6Characterization of Neural Signals in Preclinical Studies of Neural Plasticity Using Nonlinear Time Series Analysis1 Introduction; 2 Linear and Nonlinear Time Series Analysis Methods; 2.1 Spectral Methods; 2.2 Coupling Measures; 2.3 Power Law Correlations; 3 Characterization of Local Field Potentials in Preclinical Studies of Neural Plasticity; 3.1 Spectral Properties and Inter-hemispheric Coupling Directionality in a Model of Focal Epilepsy; 3.2 Post-stroke Modifications of Inter-hemispheric Coupling in Low Frequency Band; 3.3 Scaling Properties of LFPs in EE Rearing Condition 4 Discussion and ConclusionReferences; Functional Cliques in Developmentally Correlated Neural Networks; 1 Introduction; 2 Model and Methods; 2.1 Correlations; 2.2 Functional Connectivity; 3 Results; 3.1 Single Neuron Stimulation and Deletion Experiments; 3.2 The Clique of Functional Hubs; 4 Discussion; References; Chimera States in Pulse Coupled Neural Networks: The Influence of Dilution and Noise; 1 Introduction; 2 The Model; 3 Fully Coupled Network: Phase Diagram; 4 Diluted Networks; 5 Noisy Dynamics; 6 Discussion; References; Nanotechnologies for Neurosciences; 1 Introduction Memristor and Memristor Circuit Modelling Based on Methods of Nonlinear System Theory1 Introduction; 2 One-Memristor Circuits; 2.1 Memristor Model; 2.2 Application of the Theory to One-Memristor Circuits; 2.3 Circuit Dynamic Equations; 2.4 Analytical Derivation of Volterra Kernels; 2.5 Response to a Sine-Wave Input; 2.6 Theory Validation; 3 Extension to Two-Memristor Circuits; 3.1 Memristor Model; 3.2 Application of the Theory to Two-Memristor Circuits; 3.3 Circuit Dynamic Equations; 3.4 Analytical Derivation of Volterra Kernels; 3.5 Response to a Sine-Wave Input; 3.6 Theory Validation … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2018
- Copyright Date:
- 2019
- Extent:
- 1 online resource, illustrations
- Subjects:
- 612.8
Engineering
Computational neuroscience
Nonlinear theories
MEDICAL / Physiology
SCIENCE / Life Sciences / Human Anatomy & Physiology
Computational neuroscience
Nonlinear theories
Mathematics -- Applied
Medical -- Neuroscience
Science -- Chaotic Behavior in Systems
Mathematical modelling
Neurosciences
Nonlinear science
Neurosciences
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Electronic books - Languages:
- English
- ISBNs:
- 9783319710488
3319710486 - Related ISBNs:
- 9783319710471
3319710478 - Notes:
- Note: Includes bibliographical references.
Note: Online resource ; title from PDF title page (EBSCO, viewed June 25, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.366840
- Ingest File:
- 01_343.xml