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Adaptive processing of brain signals [[electronic resource] /] / Saeid Sanei
| Adaptive processing of brain signals [[electronic resource] /] / Saeid Sanei |
| Autore | Sanei Saeid |
| Pubbl/distr/stampa | Chichester, West Sussex, : John Wiley & Sons Inc., c2013 |
| Descrizione fisica | 1 online resource (1039 p.) |
| Disciplina | 573.8/5 |
| Soggetto topico |
Brain - Physiology
Neural networks (Neurobiology) Signal processing - Digital techniques |
| ISBN |
1-118-62216-2
1-118-62214-6 1-118-62215-4 |
| Classificazione | SCI067000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Preface; Chapter 1 Brain Signals, Their Generation, Acquisition and Properties; 1.1 Introduction; 1.2 Historical Review of the Brain; 1.3 Neural Activities; 1.4 Action Potentials; 1.5 EEG Generation; 1.6 Brain Rhythms; 1.7 EEG Recording and Measurement; 1.8 Abnormal EEG Patterns; 1.9 Aging; 1.10 Mental Disorders; 1.11 Memory and Content Retrieval; 1.12 MEG Signals and Their Generation; 1.13 Conclusions; References; Chapter 2 Fundamentals of EEG Signal Processing; 2.1 Introduction; 2.2 Nonlinearity of the Medium; 2.3 Nonstationarity; 2.4 Signal Segmentation
2.5 Other Properties of Brain Signals2.6 Conclusions; References; Chapter 3 EEG Signal Modelling; 3.1 Physiological Modelling of EEG Generation; 3.2 Mathematical Models; 3.3 Generating EEG Signals Based on Modelling the Neuronal Activities; 3.4 Electronic Models; 3.5 Dynamic Modelling of the Neuron Action Potential Threshold; 3.6 Conclusions; References; Chapter 4 Signal Transforms and Joint Time-Frequency Analysis; 4.1 Introduction; 4.2 Parametric Spectrum Estimation and Z-Transform; 4.3 Time-Frequency Domain Transforms; 4.4 Ambiguity Function and the Wigner-Ville Distribution 4.5 Hermite Transform4.6 Conclusions; References; Chapter 5 Chaos and Dynamical Analysis; 5.1 Entropy; 5.2 Kolmogorov Entropy; 5.3 Lyapunov Exponents; 5.4 Plotting the Attractor Dimensions from Time Series; 5.5 Estimation of Lyapunov Exponents from Time Series; 5.6 Approximate Entropy; 5.7 Using Prediction Order; 5.8 Conclusions; References; Chapter 6 Classification and Clustering of Brain Signals; 6.1 Introduction; 6.2 Linear Discriminant Analysis; 6.3 Support Vector Machines; 6.4 k-Means Algorithm; 6.5 Common Spatial Patterns; 6.6 Conclusions; References Chapter 7 Blind and Semi-Blind Source Separation7.1 Introduction; 7.2 Singular Spectrum Analysis; 7.3 Independent Component Analysis; 7.4 Instantaneous BSS; 7.5 Convolutive BSS; 7.6 Sparse Component Analysis; 7.7 Nonlinear BSS; 7.8 Constrained BSS; 7.9 Application of Constrained BSS; Example; 7.10 Nonstationary BSS; 7.11 Tensor Factorization for Underdetermined Source Separation; 7.12 Tensor Factorization for Separation of Convolutive Mixtures in the Time Domain; 7.13 Separation of Correlated Sources via Tensor Factorization; 7.14 Conclusions; References Chapter 8 Connectivity of Brain Regions8.1 Introduction; 8.2 Connectivity Through Coherency; 8.3 Phase-Slope Index; 8.4 Multivariate Directionality Estimation; 8.5 Modelling the Connectivity by Structural Equation Modelling; 8.6 EEG Hyper-Scanning and Inter-Subject Connectivity; 8.7 State-Space Model for Estimation of Cortical Interactions; 8.8 Application of Adaptive Filters; 8.9 Tensor Factorization Approach; 8.10 Conclusions; References; Chapter 9 Detection and Tracking of Event-Related Potentials; 9.1 ERP Generation and Types; 9.2 Detection, Separation, and Classification of P300 Signals 9.3 Brain Activity Assessment Using ERP |
| Record Nr. | UNINA-9910139054403321 |
Sanei Saeid
|
||
| Chichester, West Sussex, : John Wiley & Sons Inc., c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive processing of brain signals / / Saeid Sanei
| Adaptive processing of brain signals / / Saeid Sanei |
| Autore | Sanei Saeid |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, : John Wiley & Sons Inc., c2013 |
| Descrizione fisica | 1 online resource (1039 p.) |
| Disciplina | 573.8/5 |
| Soggetto topico |
Brain - Physiology
Neural networks (Neurobiology) Signal processing - Digital techniques |
| ISBN |
9781118622162
1118622162 9781118622148 1118622146 9781118622155 1118622154 |
| Classificazione | SCI067000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Preface; Chapter 1 Brain Signals, Their Generation, Acquisition and Properties; 1.1 Introduction; 1.2 Historical Review of the Brain; 1.3 Neural Activities; 1.4 Action Potentials; 1.5 EEG Generation; 1.6 Brain Rhythms; 1.7 EEG Recording and Measurement; 1.8 Abnormal EEG Patterns; 1.9 Aging; 1.10 Mental Disorders; 1.11 Memory and Content Retrieval; 1.12 MEG Signals and Their Generation; 1.13 Conclusions; References; Chapter 2 Fundamentals of EEG Signal Processing; 2.1 Introduction; 2.2 Nonlinearity of the Medium; 2.3 Nonstationarity; 2.4 Signal Segmentation
2.5 Other Properties of Brain Signals2.6 Conclusions; References; Chapter 3 EEG Signal Modelling; 3.1 Physiological Modelling of EEG Generation; 3.2 Mathematical Models; 3.3 Generating EEG Signals Based on Modelling the Neuronal Activities; 3.4 Electronic Models; 3.5 Dynamic Modelling of the Neuron Action Potential Threshold; 3.6 Conclusions; References; Chapter 4 Signal Transforms and Joint Time-Frequency Analysis; 4.1 Introduction; 4.2 Parametric Spectrum Estimation and Z-Transform; 4.3 Time-Frequency Domain Transforms; 4.4 Ambiguity Function and the Wigner-Ville Distribution 4.5 Hermite Transform4.6 Conclusions; References; Chapter 5 Chaos and Dynamical Analysis; 5.1 Entropy; 5.2 Kolmogorov Entropy; 5.3 Lyapunov Exponents; 5.4 Plotting the Attractor Dimensions from Time Series; 5.5 Estimation of Lyapunov Exponents from Time Series; 5.6 Approximate Entropy; 5.7 Using Prediction Order; 5.8 Conclusions; References; Chapter 6 Classification and Clustering of Brain Signals; 6.1 Introduction; 6.2 Linear Discriminant Analysis; 6.3 Support Vector Machines; 6.4 k-Means Algorithm; 6.5 Common Spatial Patterns; 6.6 Conclusions; References Chapter 7 Blind and Semi-Blind Source Separation7.1 Introduction; 7.2 Singular Spectrum Analysis; 7.3 Independent Component Analysis; 7.4 Instantaneous BSS; 7.5 Convolutive BSS; 7.6 Sparse Component Analysis; 7.7 Nonlinear BSS; 7.8 Constrained BSS; 7.9 Application of Constrained BSS; Example; 7.10 Nonstationary BSS; 7.11 Tensor Factorization for Underdetermined Source Separation; 7.12 Tensor Factorization for Separation of Convolutive Mixtures in the Time Domain; 7.13 Separation of Correlated Sources via Tensor Factorization; 7.14 Conclusions; References Chapter 8 Connectivity of Brain Regions8.1 Introduction; 8.2 Connectivity Through Coherency; 8.3 Phase-Slope Index; 8.4 Multivariate Directionality Estimation; 8.5 Modelling the Connectivity by Structural Equation Modelling; 8.6 EEG Hyper-Scanning and Inter-Subject Connectivity; 8.7 State-Space Model for Estimation of Cortical Interactions; 8.8 Application of Adaptive Filters; 8.9 Tensor Factorization Approach; 8.10 Conclusions; References; Chapter 9 Detection and Tracking of Event-Related Potentials; 9.1 ERP Generation and Types; 9.2 Detection, Separation, and Classification of P300 Signals 9.3 Brain Activity Assessment Using ERP |
| Record Nr. | UNINA-9910821926303321 |
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Sanei Saeid
|
||
| Chichester, West Sussex, : John Wiley & Sons Inc., c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Determinants of synaptic information transfer: From Ca2+ binding proteins to Ca2+ signaling domains
| Determinants of synaptic information transfer: From Ca2+ binding proteins to Ca2+ signaling domains |
| Pubbl/distr/stampa | Frontiers Media SA, 2016 |
| Descrizione fisica | 1 online resource (133 p.) |
| Disciplina | 573.8/5 |
| Collana | Frontiers Research Topics |
| Soggetto topico | Neurosciences |
| Soggetto non controllato |
Calcium
calcium buffer calcium sensor dendritic integration localization plasticity STED storm transmitter release |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Determinants of synaptic information transfer |
| Record Nr. | UNINA-9910161648903321 |
| Frontiers Media SA, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to neural dynamics and signal transmission delay [[electronic resource] /] / Jianhong Wu
| Introduction to neural dynamics and signal transmission delay [[electronic resource] /] / Jianhong Wu |
| Autore | Wu Jianhong |
| Edizione | [Reprint 2011] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Walter de Gruyter, 2001 |
| Descrizione fisica | 1 online resource (192 p.) |
| Disciplina | 573.8/5 |
| Collana | De Gruyter series in nonlinear analysis and applications |
| Soggetto topico |
Neural networks (Neurobiology) - Mathematical models
Neurobiology |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-11-087997-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Preface -- Contents -- Chapter 1 The structure of neural networks -- Chapter 2 Dynamic models of networks -- Chapter 3 Simple networks -- Chapter 4 Content-addressable memory storage -- Chapter 5 Signal transmission delays -- Bibliography -- Index |
| Record Nr. | UNINA-9910462547903321 |
|
Wu Jianhong
|
||
| Berlin ; ; New York, : Walter de Gruyter, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to neural dynamics and signal transmission delay [[electronic resource] /] / Jianhong Wu
| Introduction to neural dynamics and signal transmission delay [[electronic resource] /] / Jianhong Wu |
| Autore | Wu Jianhong |
| Edizione | [Reprint 2011] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Walter de Gruyter, 2001 |
| Descrizione fisica | 1 online resource (192 p.) |
| Disciplina | 573.8/5 |
| Collana | De Gruyter series in nonlinear analysis and applications |
| Soggetto topico |
Neural networks (Neurobiology) - Mathematical models
Neurobiology |
| ISBN | 3-11-087997-2 |
| Classificazione | SK 950 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Preface -- Contents -- Chapter 1 The structure of neural networks -- Chapter 2 Dynamic models of networks -- Chapter 3 Simple networks -- Chapter 4 Content-addressable memory storage -- Chapter 5 Signal transmission delays -- Bibliography -- Index |
| Record Nr. | UNINA-9910785816103321 |
|
Wu Jianhong
|
||
| Berlin ; ; New York, : Walter de Gruyter, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trees of the brain, roots of the mind / / Giorgio A. Ascoli
| Trees of the brain, roots of the mind / / Giorgio A. Ascoli |
| Autore | Ascoli Giorgio A. |
| Pubbl/distr/stampa | Cambridge, Massachusetts ; ; London, [England] : , : The MIT Press, , 2015 |
| Descrizione fisica | 1 online resource (247 pages) : illustrations |
| Disciplina | 573.8/5 |
| Soggetto topico |
Neural circuitry
Neural networks (Neurobiology) Neural transmission Mind and body Brain |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-262-32903-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910463404003321 |
|
Ascoli Giorgio A.
|
||
| Cambridge, Massachusetts ; ; London, [England] : , : The MIT Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trees of the brain, roots of the mind / / Giorgio A. Ascoli
| Trees of the brain, roots of the mind / / Giorgio A. Ascoli |
| Autore | Ascoli Giorgio A. |
| Pubbl/distr/stampa | Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , [2015] |
| Descrizione fisica | 1 online resource (247 pages) : illustrations |
| Disciplina | 573.8/5 |
| Soggetto topico |
Neural circuitry
Neural networks (Neurobiology) Neural transmission Mind and body Brain |
| Soggetto non controllato |
BIOMEDICAL SCIENCES/General
COGNITIVE SCIENCES/General NEUROSCIENCE/General |
| ISBN | 0-262-32903-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910788297203321 |
|
Ascoli Giorgio A.
|
||
| Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||