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Brain-apparatus communication
| Brain-apparatus communication |
| Pubbl/distr/stampa | [Philadelphia, Pennsylvania] : , : Taylor & Francis, , [2022]- |
| Disciplina | 616.8047547 |
| Soggetto topico |
Brain-computer interfaces
Neurosciences - Technological innovations Neurosciences - Data processing |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | BAC |
| Record Nr. | UNISA-996523370603316 |
| [Philadelphia, Pennsylvania] : , : Taylor & Francis, , [2022]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Brain-apparatus communication
| Brain-apparatus communication |
| Pubbl/distr/stampa | [Philadelphia, Pennsylvania] : , : Taylor & Francis, , [2022]- |
| Disciplina | 616.8047547 |
| Soggetto topico |
Brain-computer interfaces
Neurosciences - Technological innovations Neurosciences - Data processing |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | BAC |
| Record Nr. | UNINA-9910705086103321 |
| [Philadelphia, Pennsylvania] : , : Taylor & Francis, , [2022]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational intelligence and neuroscience
| Computational intelligence and neuroscience |
| Pubbl/distr/stampa | [New York], : Hindawi, 2007- |
| Soggetto topico |
Neurosciences - Data processing
Computational intelligence Neurosciences Computational Biology Intelligence informatique Bio-informatique |
| Soggetto genere / forma |
Periodical
Periodicals. Périodiques. |
| Soggetto non controllato | Neuroscience |
| ISSN | 1687-5273 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | CIN |
| Record Nr. | UNISA-996211189403316 |
| [New York], : Hindawi, 2007- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational intelligence and neuroscience
| Computational intelligence and neuroscience |
| Pubbl/distr/stampa | [New York], : Hindawi, 2007- |
| Soggetto topico |
Neurosciences - Data processing
Computational intelligence Neurosciences Computational Biology Intelligence informatique Bio-informatique |
| Soggetto genere / forma |
Periodical
Periodicals. Périodiques. |
| ISSN | 1687-5273 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | CIN |
| Record Nr. | UNINA-9910146586803321 |
| [New York], : Hindawi, 2007- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / / Pascal Wallisch [and five others]
| MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / / Pascal Wallisch [and five others] |
| Autore | Wallisch Pascal <1978-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | London : , : Academic Press, , 2014 |
| Descrizione fisica | 1 online resource (xx, 550 pages) : illustrations (some color) |
| Disciplina | 571 |
| Altri autori (Persone) | WallischPascal |
| Collana | Gale eBooks |
| Soggetto topico | Neurosciences - Data processing |
| ISBN | 0-12-383837-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; MATLAB® for Neuroscientists; Copyright Page; Contents; Preface to the First Edition; Preface to the Second Edition; About the Authors; How to Use this Book; Structural and Conceptual Considerations; Layout and Style; Companion Web Site; I: Fundamentals; 1 Introduction; 2 MATLAB Tutorial; 2.1 Goal of this Chapter; 2.2 Purpose and Philosophy of MATLAB; 2.2.1 Getting Started; 2.2.2 MATLAB as a Calculator; 2.2.3 Defining Matrices; 2.2.4 Basic Matrix Algebra; 2.2.5 Indexing; 2.3 Graphics and Visualization; 2.3.1 Basic Visualization; 2.4 Function and Scripts; 2.4.1 Scripts
2.4.2 Functions2.4.3 Control Structures; 2.4.4 Advanced Plotting; 2.4.5 Interactive Programs; 2.5 Data Analysis; 2.5.1 Importing and Storing Data; 2.6 A Word on Function Handles; 2.7 The Function Browser; 2.8 Summary; MATLAB Functions, Commands, and Operators Covered in This Chapter; 3 Mathematics and Statistics Tutorial; 3.1 Introduction; 3.2 Linear Algebra; 3.2.1 Matrices, Vectors, and Arrays; 3.2.2 Transposition; 3.2.3 Addition; 3.2.4 Scalar Multiplication; 3.2.5 Matrix Multiplication; 3.2.6 Geometrical Interpretation of Matrix Multiplication; 3.2.7 The Determinant 3.2.8 Eigenvalues and Eigenvectors3.2.9 Applications of Eigenvectors: Eigendecomposition; 3.2.10 Applications of Eigenvectors: PCA; 3.3 Probability and Statistics; 3.3.1 Introduction; 3.3.2 Random Variables; 3.3.2.1 Sample Estimates of Population Parameters; 3.3.2.2 Joint and Conditional Probabilities; 3.3.3 The Poisson Distribution; 3.3.4 Normal Distribution; 3.3.5 Confidence Values; 3.3.6 Significance Testing; 3.3.6.1 Student's t Distribution; 3.3.6.2 ANOVA Testing; 3.3.7 Linear Regression; 3.3.8 Introduction to Bayesian Reasoning; 3.3.9 Outlook MATLAB Functions, Commands, and Operators Covered in This Chapter4 Programming Tutorial: Principles and Best Practices; 4.1 Goals of this Chapter; 4.2 Organizing Code; 4.2.1 A Few Words about Maintenance; 4.2.2 Variables and How to Name Them; 4.2.3 Understanding Scope; 4.2.4 Script or Function?; 4.2.5 The Art of Commenting; 4.3 Organizing More Code: Bigger Projects; 4.3.1 Why Reuse Code?; 4.3.2 Coupling and Cohesion; 4.3.3 Separation of Concerns; 4.3.4 Limiting Side Effects, or the Perils of Global State; 4.3.5 Objects; 4.3.5.1 Creating Objects; 4.3.5.2 Inheritance 4.3.5.3 Passing Objects Around: The Handle Class4.3.5.4 Summary; 4.4 Taming Errors; 4.4.1 An Introduction to the Debugger; 4.4.2 Logging; 4.4.3 Edge Cases and Unit Testing; 4.4.4 A Few Words about Precision; 4.4.5 Suggestions for Optimization; 4.4.5.1 Vectorizing Matrix Operations; 4.4.5.2 Conditional Expressions; 4.4.5.3 Extracting Subsets from Arrays; MATLAB Functions, Commands, and Operators Covered in This Chapter; 5 Visualization and Documentation Tutorial; 5.1 Goals of This Chapter; 5.2 Visualization; 5.3 Documentation; MATLAB Functions, Commands, and Operators Covered in This Chapter II: Data Collection with MATLAB |
| Record Nr. | UNINA-9910790900303321 |
Wallisch Pascal <1978->
|
||
| London : , : Academic Press, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / / Pascal Wallisch [and five others]
| MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / / Pascal Wallisch [and five others] |
| Autore | Wallisch Pascal <1978-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | London : , : Academic Press, , 2014 |
| Descrizione fisica | 1 online resource (xx, 550 pages) : illustrations (some color) |
| Disciplina | 571 |
| Altri autori (Persone) | WallischPascal |
| Collana | Gale eBooks |
| Soggetto topico | Neurosciences - Data processing |
| ISBN | 0-12-383837-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; MATLAB® for Neuroscientists; Copyright Page; Contents; Preface to the First Edition; Preface to the Second Edition; About the Authors; How to Use this Book; Structural and Conceptual Considerations; Layout and Style; Companion Web Site; I: Fundamentals; 1 Introduction; 2 MATLAB Tutorial; 2.1 Goal of this Chapter; 2.2 Purpose and Philosophy of MATLAB; 2.2.1 Getting Started; 2.2.2 MATLAB as a Calculator; 2.2.3 Defining Matrices; 2.2.4 Basic Matrix Algebra; 2.2.5 Indexing; 2.3 Graphics and Visualization; 2.3.1 Basic Visualization; 2.4 Function and Scripts; 2.4.1 Scripts
2.4.2 Functions2.4.3 Control Structures; 2.4.4 Advanced Plotting; 2.4.5 Interactive Programs; 2.5 Data Analysis; 2.5.1 Importing and Storing Data; 2.6 A Word on Function Handles; 2.7 The Function Browser; 2.8 Summary; MATLAB Functions, Commands, and Operators Covered in This Chapter; 3 Mathematics and Statistics Tutorial; 3.1 Introduction; 3.2 Linear Algebra; 3.2.1 Matrices, Vectors, and Arrays; 3.2.2 Transposition; 3.2.3 Addition; 3.2.4 Scalar Multiplication; 3.2.5 Matrix Multiplication; 3.2.6 Geometrical Interpretation of Matrix Multiplication; 3.2.7 The Determinant 3.2.8 Eigenvalues and Eigenvectors3.2.9 Applications of Eigenvectors: Eigendecomposition; 3.2.10 Applications of Eigenvectors: PCA; 3.3 Probability and Statistics; 3.3.1 Introduction; 3.3.2 Random Variables; 3.3.2.1 Sample Estimates of Population Parameters; 3.3.2.2 Joint and Conditional Probabilities; 3.3.3 The Poisson Distribution; 3.3.4 Normal Distribution; 3.3.5 Confidence Values; 3.3.6 Significance Testing; 3.3.6.1 Student's t Distribution; 3.3.6.2 ANOVA Testing; 3.3.7 Linear Regression; 3.3.8 Introduction to Bayesian Reasoning; 3.3.9 Outlook MATLAB Functions, Commands, and Operators Covered in This Chapter4 Programming Tutorial: Principles and Best Practices; 4.1 Goals of this Chapter; 4.2 Organizing Code; 4.2.1 A Few Words about Maintenance; 4.2.2 Variables and How to Name Them; 4.2.3 Understanding Scope; 4.2.4 Script or Function?; 4.2.5 The Art of Commenting; 4.3 Organizing More Code: Bigger Projects; 4.3.1 Why Reuse Code?; 4.3.2 Coupling and Cohesion; 4.3.3 Separation of Concerns; 4.3.4 Limiting Side Effects, or the Perils of Global State; 4.3.5 Objects; 4.3.5.1 Creating Objects; 4.3.5.2 Inheritance 4.3.5.3 Passing Objects Around: The Handle Class4.3.5.4 Summary; 4.4 Taming Errors; 4.4.1 An Introduction to the Debugger; 4.4.2 Logging; 4.4.3 Edge Cases and Unit Testing; 4.4.4 A Few Words about Precision; 4.4.5 Suggestions for Optimization; 4.4.5.1 Vectorizing Matrix Operations; 4.4.5.2 Conditional Expressions; 4.4.5.3 Extracting Subsets from Arrays; MATLAB Functions, Commands, and Operators Covered in This Chapter; 5 Visualization and Documentation Tutorial; 5.1 Goals of This Chapter; 5.2 Visualization; 5.3 Documentation; MATLAB Functions, Commands, and Operators Covered in This Chapter II: Data Collection with MATLAB |
| Record Nr. | UNINA-9910816603003321 |
|
Wallisch Pascal <1978->
|
||
| London : , : Academic Press, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / / Pascal Wallisch [and five others]
| MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / / Pascal Wallisch [and five others] |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Amsterdam : , : Elsevier/Academic Press, , [2014] |
| Descrizione fisica | 1 online resource (571 p.) |
| Disciplina | 571 |
| Altri autori (Persone) | WallischPascal |
| Soggetto topico | Neurosciences - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-12-383837-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; MATLAB® for Neuroscientists; Copyright Page; Contents; Preface to the First Edition; Preface to the Second Edition; About the Authors; How to Use this Book; Structural and Conceptual Considerations; Layout and Style; Companion Web Site; I: Fundamentals; 1 Introduction; 2 MATLAB Tutorial; 2.1 Goal of this Chapter; 2.2 Purpose and Philosophy of MATLAB; 2.2.1 Getting Started; 2.2.2 MATLAB as a Calculator; 2.2.3 Defining Matrices; 2.2.4 Basic Matrix Algebra; 2.2.5 Indexing; 2.3 Graphics and Visualization; 2.3.1 Basic Visualization; 2.4 Function and Scripts; 2.4.1 Scripts
2.4.2 Functions2.4.3 Control Structures; 2.4.4 Advanced Plotting; 2.4.5 Interactive Programs; 2.5 Data Analysis; 2.5.1 Importing and Storing Data; 2.6 A Word on Function Handles; 2.7 The Function Browser; 2.8 Summary; MATLAB Functions, Commands, and Operators Covered in This Chapter; 3 Mathematics and Statistics Tutorial; 3.1 Introduction; 3.2 Linear Algebra; 3.2.1 Matrices, Vectors, and Arrays; 3.2.2 Transposition; 3.2.3 Addition; 3.2.4 Scalar Multiplication; 3.2.5 Matrix Multiplication; 3.2.6 Geometrical Interpretation of Matrix Multiplication; 3.2.7 The Determinant 3.2.8 Eigenvalues and Eigenvectors3.2.9 Applications of Eigenvectors: Eigendecomposition; 3.2.10 Applications of Eigenvectors: PCA; 3.3 Probability and Statistics; 3.3.1 Introduction; 3.3.2 Random Variables; 3.3.2.1 Sample Estimates of Population Parameters; 3.3.2.2 Joint and Conditional Probabilities; 3.3.3 The Poisson Distribution; 3.3.4 Normal Distribution; 3.3.5 Confidence Values; 3.3.6 Significance Testing; 3.3.6.1 Student's t Distribution; 3.3.6.2 ANOVA Testing; 3.3.7 Linear Regression; 3.3.8 Introduction to Bayesian Reasoning; 3.3.9 Outlook MATLAB Functions, Commands, and Operators Covered in This Chapter4 Programming Tutorial: Principles and Best Practices; 4.1 Goals of this Chapter; 4.2 Organizing Code; 4.2.1 A Few Words about Maintenance; 4.2.2 Variables and How to Name Them; 4.2.3 Understanding Scope; 4.2.4 Script or Function?; 4.2.5 The Art of Commenting; 4.3 Organizing More Code: Bigger Projects; 4.3.1 Why Reuse Code?; 4.3.2 Coupling and Cohesion; 4.3.3 Separation of Concerns; 4.3.4 Limiting Side Effects, or the Perils of Global State; 4.3.5 Objects; 4.3.5.1 Creating Objects; 4.3.5.2 Inheritance 4.3.5.3 Passing Objects Around: The Handle Class4.3.5.4 Summary; 4.4 Taming Errors; 4.4.1 An Introduction to the Debugger; 4.4.2 Logging; 4.4.3 Edge Cases and Unit Testing; 4.4.4 A Few Words about Precision; 4.4.5 Suggestions for Optimization; 4.4.5.1 Vectorizing Matrix Operations; 4.4.5.2 Conditional Expressions; 4.4.5.3 Extracting Subsets from Arrays; MATLAB Functions, Commands, and Operators Covered in This Chapter; 5 Visualization and Documentation Tutorial; 5.1 Goals of This Chapter; 5.2 Visualization; 5.3 Documentation; MATLAB Functions, Commands, and Operators Covered in This Chapter II: Data Collection with MATLAB |
| Record Nr. | UNINA-9910453310903321 |
| Amsterdam : , : Elsevier/Academic Press, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MATLAB for neuroscientists [[electronic resource] ] : an introduction to scientific computing in MATLAB / / Pascal Wallisch ... [et al.]
| MATLAB for neuroscientists [[electronic resource] ] : an introduction to scientific computing in MATLAB / / Pascal Wallisch ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/Academic Press, c2009 |
| Descrizione fisica | 1 online resource (407 p.) |
| Disciplina | 612.80285 |
| Altri autori (Persone) | WallischPascal <1978-> |
| Soggetto topico | Neurosciences - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-71145-8
9786612711459 0-08-092328-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; MATLAB for Neuroscientists; Copyright Page; Contents; Preface; About the Authors; How to Use This Book; Part I: Fundamentals; Chapter 1: Introduction; Chapter 2: MATLAB Tutorial; Part II: Data collection with matlab; Chapter 3: Visual Search and Pop Out; Chapter 4: Attention; Chapter 5: Psychophysics; Chapter 6: Signal Detection Theory; Part III: Data Analysis with MATLAB; Chapter 7: Frequency Analysis Part I: Fourier Decomposition; Chapter 8: Frequency Analysis Part II: Nonstationary Signals and Spectrograms; Chapter 9: Wavelets; Chapter 10: Convolution
Chapter 11: Introduction to Phase Plane AnalysisChapter 12: Exploring the Fitzhugh-Nagumo Model; Chapter 13: Neural Data Analysis: Encoding; Chapter 14: Principal Components Analysis; Chapter 15: Information Theory; Chapter 16: Neural Decoding Part I: Discrete Variables; Chapter 17: Neural Decoding Part II: Continuous Variables; Chapter 18: Functional Magnetic Imaging; Part IV: Data modeling with matlab; Chapter 19: Voltage-Gated Ion Channels; Chapter 20: Models of a Single Neuron; Chapter 21: Models of the Retina; Chapter 22: Simplified Model of Spiking Neurons Chapter 23: Fitzhugh-Nagumo Model: Traveling WavesChapter 24: Decision Theory; Chapter 25: Markov Models; Chapter 26: Modeling Spike Trains as a Poisson Process; Chapter 27: Synaptic Transmission; Chapter 28: Neural Networks Part I: Unsupervised Learning; Chapter 29: Neural Network Part II: Supervised Learning; Appendix A: Thinking in MATLAB; Appendix B: Linear Algebra Review; Appendix C: Master Equation List; References; Index; Color Plates |
| Record Nr. | UNINA-9910453922303321 |
| Amsterdam ; ; Boston, : Elsevier/Academic Press, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MATLAB for neuroscientists [[electronic resource] ] : an introduction to scientific computing in MATLAB / / Pascal Wallisch ... [et al.]
| MATLAB for neuroscientists [[electronic resource] ] : an introduction to scientific computing in MATLAB / / Pascal Wallisch ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/Academic Press, c2009 |
| Descrizione fisica | 1 online resource (407 p.) |
| Disciplina | 612.80285 |
| Altri autori (Persone) | WallischPascal <1978-> |
| Soggetto topico | Neurosciences - Data processing |
| ISBN |
1-282-71145-8
9786612711459 0-08-092328-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; MATLAB for Neuroscientists; Copyright Page; Contents; Preface; About the Authors; How to Use This Book; Part I: Fundamentals; Chapter 1: Introduction; Chapter 2: MATLAB Tutorial; Part II: Data collection with matlab; Chapter 3: Visual Search and Pop Out; Chapter 4: Attention; Chapter 5: Psychophysics; Chapter 6: Signal Detection Theory; Part III: Data Analysis with MATLAB; Chapter 7: Frequency Analysis Part I: Fourier Decomposition; Chapter 8: Frequency Analysis Part II: Nonstationary Signals and Spectrograms; Chapter 9: Wavelets; Chapter 10: Convolution
Chapter 11: Introduction to Phase Plane AnalysisChapter 12: Exploring the Fitzhugh-Nagumo Model; Chapter 13: Neural Data Analysis: Encoding; Chapter 14: Principal Components Analysis; Chapter 15: Information Theory; Chapter 16: Neural Decoding Part I: Discrete Variables; Chapter 17: Neural Decoding Part II: Continuous Variables; Chapter 18: Functional Magnetic Imaging; Part IV: Data modeling with matlab; Chapter 19: Voltage-Gated Ion Channels; Chapter 20: Models of a Single Neuron; Chapter 21: Models of the Retina; Chapter 22: Simplified Model of Spiking Neurons Chapter 23: Fitzhugh-Nagumo Model: Traveling WavesChapter 24: Decision Theory; Chapter 25: Markov Models; Chapter 26: Modeling Spike Trains as a Poisson Process; Chapter 27: Synaptic Transmission; Chapter 28: Neural Networks Part I: Unsupervised Learning; Chapter 29: Neural Network Part II: Supervised Learning; Appendix A: Thinking in MATLAB; Appendix B: Linear Algebra Review; Appendix C: Master Equation List; References; Index; Color Plates |
| Record Nr. | UNINA-9910782214903321 |
| Amsterdam ; ; Boston, : Elsevier/Academic Press, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Memory and the computational brain : why cognitive science will transform neuroscience / / C. R. Gallistel, Adam Philip King
| Memory and the computational brain : why cognitive science will transform neuroscience / / C. R. Gallistel, Adam Philip King |
| Autore | Gallistel C. R. <1941-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Chichester : , : John Wiley & Sons, Inc., , [2009] |
| Descrizione fisica | 1 online resource (337 p.) |
| Disciplina | 612.8 |
| Collana | Blackwell/Maryland Lectures in Language and Cognition |
| Soggetto topico |
Neurosciences - Data processing
Neurosciences - Technological innovations |
| ISBN |
1-4443-1049-6
1-4443-1048-8 9786612117220 1-282-11722-X 1-4443-5976-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Memory and the Computational Brain; Contents; Preface; 1 Information; 2 Bayesian Updating; 3 Functions; 4 Representations; 5 Symbols; 6 Procedures; 7 Computation; 8 Architectures; 9 Data Structures; 10 Computing with Neurons; 11 The Nature of Learning; 12 Learning Time and Space; 13 The Modularity of Learning; 14 Dead Reckoning in a Neural Network; 15 Neural Models of Interval Timing; 16 The Molecular Basis of Memory; References; Glossary; Index |
| Record Nr. | UNINA-9910208848503321 |
|
Gallistel C. R. <1941->
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| Chichester : , : John Wiley & Sons, Inc., , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
