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Observed brain dynamics [[electronic resource] /] / Partha P. Mitra, Hemant Bokil
| Observed brain dynamics [[electronic resource] /] / Partha P. Mitra, Hemant Bokil |
| Autore | Mitra Partha |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, c2008 |
| Descrizione fisica | 1 online resource (404 p.) |
| Disciplina | 612.8/2 |
| Altri autori (Persone) | BokilHemant |
| Soggetto topico |
Brain - Mathematical models
Brain - Physiology Neural networks (Neurobiology) Electroencephalography |
| ISBN |
0-19-988436-6
0-19-803963-8 9786611374624 1-281-37462-8 1-4356-3359-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; PART I: Conceptual Background; 1 Why Study Brain Dynamics?; 1.1 Why Dynamics? An Active Perspective; 1.2 Quantifying Dynamics: Shared Theoretical Instruments; 1.3 ''Newtonian and Bergsonian Time''; 2 Theoretical Accounts of the Nervous System; 2.1 Three Axes in the Space of Theories; 3 Engineering Theories and Nervous System Function; 3.1 What Do Brains Do?; 3.2 Engineering Theories; 4 Methodological Considerations; 4.1 Conceptual Clarity and Valid Reasoning; 4.2 Nature of Scientific Method; PART II: Tutorials; 5 Mathematical Preliminaries; 5.1 Scalars: Real and Complex Variables
Elementary Functions5.2 Vectors and Matrices: Linear Algebra; 5.3 Fourier Analysis; 5.4 Time Frequency Analysis; 5.5 Probability Theory; 5.6 Stochastic Processes; 6 Statistical Protocols; 6.1 Data Analysis Goals; 6.2 An Example of a Protocol: Method of Least Squares; 6.3 Classical and Modern Approaches; 6.4 Classical Approaches: Estimation and Inference; 7 Time Series Analysis; 7.1 Method of Moments; 7.2 Evoked Potentials and Peristimulus Time Histogram; 7.3 Univariate Spectral Analysis; 7.4 Bivariate Spectral Analysis; 7.5 Multivariate Spectral Analysis; 7.6 Prediction 7.7 Point Process Spectral Estimation7.8 Higher Order Correlations; PART III: Applications; 8 Electrophysiology: Microelectrode Recordings; 8.1 Introduction; 8.2 Experimental Approaches; 8.3 Biophysics of Neurons; 8.4 Measurement Techniques; 8.5 Analysis Protocol; 8.6 Parametric Methods; 8.7 Predicting Behavior From Neural Activity; 9 Spike Sorting; 9.1 Introduction; 9.2 General Framework; 9.3 Data Acquisition; 9.4 Spike Detection; 9.5 Clustering; 9.6 Quality Metrics; 10 Electro- and Magnetoencephalography; 10.1 Introduction; 10.2 Analysis of Electroencephalographic Signals: Early Work 10.3 Physics of Encephalographic Signals10.4 Measurement Techniques; 10.5 Analysis; 11 PET and fMRI; 11.1 Introduction; 11.2 Biophysics of PET and fMRI; 11.3 Experimental Overview; 11.4 Analysis; 12 Optical Imaging; 12.1 Introduction; 12.2 Biophysical Considerations; 12.3 Analysis; PART IV: Special Topics; 13 Local Regression and Likelihood; 13.1 Local Regression; 13.2 Local Likelihood; 13.3 Density Estimation; 13.4 Model Assessment and Selection; 14 Entropy and Mutual Information; 14.1 Entropy and Mutual Information for Discrete Random Variables; 14.2 Continuous Random Variables 14.3 Discrete-Valued Discrete-Time Stochastic Processes14.4 Continuous-Valued Discrete-Time Stochastic Processes; 14.5 Point Processes; 14.6 Estimation Methods; Appendix A: The Bandwagon; Appendix B: Two Famous Papers; Photograph Credits; Bibliography; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Y |
| Record Nr. | UNINA-9910813886803321 |
Mitra Partha
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| Oxford ; ; New York, : Oxford University Press, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantum theoretic machines [e-book] : what is thought from the point of view of physics / August Stern
| Quantum theoretic machines [e-book] : what is thought from the point of view of physics / August Stern |
| Autore | Stern, August |
| Pubbl/distr/stampa | Amsterdam ; New York : Elsevier, 2000 |
| Descrizione fisica | xii, 588 p. : ill. ; 25 cm |
| Disciplina | 511.3 |
| Soggetto topico |
Matrix logic
Quantum theory Brain - Mathematical models Cognition - Mathematical models |
| ISBN |
9780444826183
0444826181 |
| Formato | Risorse elettroniche  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991003279379707536 |
|
Stern, August
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| Amsterdam ; New York : Elsevier, 2000 | ||
| Risorse elettroniche | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
What should be computed to understand and model brain function? [[electronic resource] ] : from robotics, soft computing, biology and neuroscience to cognitive philosophy / / editor, Tadashi Kitamura
| What should be computed to understand and model brain function? [[electronic resource] ] : from robotics, soft computing, biology and neuroscience to cognitive philosophy / / editor, Tadashi Kitamura |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (324 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | KitamuraTadashi <1947-> |
| Collana | FLSI soft computing series |
| Soggetto topico |
Artificial intelligence
Brain - Mathematical models Neural networks (Computer science) Soft computing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-95181-1
9786611951818 981-281-030-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Series Editor's Preface; Volume Editor's Preface; Contents; Chapter 1 Consideration of Emotion Model and Primitive Language of Robots; 1.1 Introduction; 1.2 Acquisition Algorithm of World Model of Robots; 1.3 Primitive Language; 1.4 Autonomous Robot: WAMOEBA-2; 1.5 Communication of WAMOEBA-2; 1.6 Model Acquisition Algorithm of WAMOEBA-2; 1.7 Diversification of Expression; 1.8 Evaluation Experiment; 1.9 Conclusion and Further Perspectives; References; Chapter 2 An Architecture for Animal-like Behavior Selection; 2.1 Introduction; 2.2 Architechture(CBA); 2.3 Criteria for Behavior Selection
2.4 Behavior Design2.5 Experiments; 2.6 Discussion; 2.7 Conclusion; References; Chapter 3 A Computational Literary Theory: The Ultimate Products of the Brain/Mind Machine; 3.1 Introduction; 3.2 Literary Text and Cognition; 3.3 Literary Computing; 3.4 Conclusions; References; Chapter 4 Cooperation between Neural Networks within the Brain; 4.1 Introduction; 4.2 Cerebral Cortex : the 'Pilot'; 4.3 Cerebellar Cortex : the 'Smoother Computer'; 4.4 Basal Ganglia : the 'Security' Computer; 4.5 Conclusion; References Chapter 5 Brain-like Functions in Evolving Connectionist Systems for On-line Knowledge-Based Learning5.1 Introduction: What Brain-like Functions and Principles to Implement in Intelligent Information Systems?; 5.2 The ECOS Framework; 5.3 Evolving Fuzzy Neural Networks EFuNNs; 5.4 EFuNNs as Universal Learning Machines. Local and Global Generalisation; 5.5 Conclusions and Directions for Further Research; References; Chapter 6 Interrelationships, Communication, Semiotics and Artificial Consciousness; 6.1 Introduction; 6.2 State of the Art 6.3 Several Desirable Properties and Current Limits of the Current Machines6.4 The Sensitive Computer; 6.5 Perception, Self-representation and Self-relating; 6.6 Relationship and Relationship Representation: Key Factors in Intelligence and Communication; 6.7 Methods to Embed Relationships; 6.8 Technical Means; 6.9 Conclusions and Future Perspectives; References; Chapter 7 Time Emerges from Incomplete Clock Based on Internal Measurement; 7.1 Introduction; 7.2 Distinction by Invalidating Distinction; 7.3 Punctuated Equilibrium Resulting Asynchronous Clock; 7.4 Origin of Time; 7.5 Conclusion ReferencesChapter 8 The Logical Jump in Shell Changing in Hermit Crab and Tool Experiment in the Ants; 8.1 Introduction; 8.2 A Relationship between a Self-similarity and a Paradox; 8.3 Methods; 8.4 Results; 8.5 Conclusion and Future Perspective; References; Chapter 9 The Neurobiology of Semantics: How Can Machines be Designed to Have Meanings?; 9.1 Introduction; 9.2 Communication by Representations; 9.3 Observations of Electroencephalograms; 9.4 The Neural Basis for Intentional Action; 9.5 Linear versus Circular Causality 9.6 A Hypothesis on the Causal Relations of Meanings and Representations |
| Record Nr. | UNINA-9910454397803321 |
| Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
What should be computed to understand and model brain function? [[electronic resource] ] : from robotics, soft computing, biology and neuroscience to cognitive philosophy / / editor, Tadashi Kitamura
| What should be computed to understand and model brain function? [[electronic resource] ] : from robotics, soft computing, biology and neuroscience to cognitive philosophy / / editor, Tadashi Kitamura |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (324 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | KitamuraTadashi <1947-> |
| Collana | FLSI soft computing series |
| Soggetto topico |
Artificial intelligence
Brain - Mathematical models Neural networks (Computer science) Soft computing |
| ISBN |
1-281-95181-1
9786611951818 981-281-030-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Series Editor's Preface; Volume Editor's Preface; Contents; Chapter 1 Consideration of Emotion Model and Primitive Language of Robots; 1.1 Introduction; 1.2 Acquisition Algorithm of World Model of Robots; 1.3 Primitive Language; 1.4 Autonomous Robot: WAMOEBA-2; 1.5 Communication of WAMOEBA-2; 1.6 Model Acquisition Algorithm of WAMOEBA-2; 1.7 Diversification of Expression; 1.8 Evaluation Experiment; 1.9 Conclusion and Further Perspectives; References; Chapter 2 An Architecture for Animal-like Behavior Selection; 2.1 Introduction; 2.2 Architechture(CBA); 2.3 Criteria for Behavior Selection
2.4 Behavior Design2.5 Experiments; 2.6 Discussion; 2.7 Conclusion; References; Chapter 3 A Computational Literary Theory: The Ultimate Products of the Brain/Mind Machine; 3.1 Introduction; 3.2 Literary Text and Cognition; 3.3 Literary Computing; 3.4 Conclusions; References; Chapter 4 Cooperation between Neural Networks within the Brain; 4.1 Introduction; 4.2 Cerebral Cortex : the 'Pilot'; 4.3 Cerebellar Cortex : the 'Smoother Computer'; 4.4 Basal Ganglia : the 'Security' Computer; 4.5 Conclusion; References Chapter 5 Brain-like Functions in Evolving Connectionist Systems for On-line Knowledge-Based Learning5.1 Introduction: What Brain-like Functions and Principles to Implement in Intelligent Information Systems?; 5.2 The ECOS Framework; 5.3 Evolving Fuzzy Neural Networks EFuNNs; 5.4 EFuNNs as Universal Learning Machines. Local and Global Generalisation; 5.5 Conclusions and Directions for Further Research; References; Chapter 6 Interrelationships, Communication, Semiotics and Artificial Consciousness; 6.1 Introduction; 6.2 State of the Art 6.3 Several Desirable Properties and Current Limits of the Current Machines6.4 The Sensitive Computer; 6.5 Perception, Self-representation and Self-relating; 6.6 Relationship and Relationship Representation: Key Factors in Intelligence and Communication; 6.7 Methods to Embed Relationships; 6.8 Technical Means; 6.9 Conclusions and Future Perspectives; References; Chapter 7 Time Emerges from Incomplete Clock Based on Internal Measurement; 7.1 Introduction; 7.2 Distinction by Invalidating Distinction; 7.3 Punctuated Equilibrium Resulting Asynchronous Clock; 7.4 Origin of Time; 7.5 Conclusion ReferencesChapter 8 The Logical Jump in Shell Changing in Hermit Crab and Tool Experiment in the Ants; 8.1 Introduction; 8.2 A Relationship between a Self-similarity and a Paradox; 8.3 Methods; 8.4 Results; 8.5 Conclusion and Future Perspective; References; Chapter 9 The Neurobiology of Semantics: How Can Machines be Designed to Have Meanings?; 9.1 Introduction; 9.2 Communication by Representations; 9.3 Observations of Electroencephalograms; 9.4 The Neural Basis for Intentional Action; 9.5 Linear versus Circular Causality 9.6 A Hypothesis on the Causal Relations of Meanings and Representations |
| Record Nr. | UNINA-9910782389503321 |
| Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
What should be computed to understand and model brain function? [[electronic resource] ] : from robotics, soft computing, biology and neuroscience to cognitive philosophy / / editor, Tadashi Kitamura
| What should be computed to understand and model brain function? [[electronic resource] ] : from robotics, soft computing, biology and neuroscience to cognitive philosophy / / editor, Tadashi Kitamura |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (324 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | KitamuraTadashi <1947-> |
| Collana | FLSI soft computing series |
| Soggetto topico |
Artificial intelligence
Brain - Mathematical models Neural networks (Computer science) Soft computing |
| ISBN |
1-281-95181-1
9786611951818 981-281-030-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Series Editor's Preface; Volume Editor's Preface; Contents; Chapter 1 Consideration of Emotion Model and Primitive Language of Robots; 1.1 Introduction; 1.2 Acquisition Algorithm of World Model of Robots; 1.3 Primitive Language; 1.4 Autonomous Robot: WAMOEBA-2; 1.5 Communication of WAMOEBA-2; 1.6 Model Acquisition Algorithm of WAMOEBA-2; 1.7 Diversification of Expression; 1.8 Evaluation Experiment; 1.9 Conclusion and Further Perspectives; References; Chapter 2 An Architecture for Animal-like Behavior Selection; 2.1 Introduction; 2.2 Architechture(CBA); 2.3 Criteria for Behavior Selection
2.4 Behavior Design2.5 Experiments; 2.6 Discussion; 2.7 Conclusion; References; Chapter 3 A Computational Literary Theory: The Ultimate Products of the Brain/Mind Machine; 3.1 Introduction; 3.2 Literary Text and Cognition; 3.3 Literary Computing; 3.4 Conclusions; References; Chapter 4 Cooperation between Neural Networks within the Brain; 4.1 Introduction; 4.2 Cerebral Cortex : the 'Pilot'; 4.3 Cerebellar Cortex : the 'Smoother Computer'; 4.4 Basal Ganglia : the 'Security' Computer; 4.5 Conclusion; References Chapter 5 Brain-like Functions in Evolving Connectionist Systems for On-line Knowledge-Based Learning5.1 Introduction: What Brain-like Functions and Principles to Implement in Intelligent Information Systems?; 5.2 The ECOS Framework; 5.3 Evolving Fuzzy Neural Networks EFuNNs; 5.4 EFuNNs as Universal Learning Machines. Local and Global Generalisation; 5.5 Conclusions and Directions for Further Research; References; Chapter 6 Interrelationships, Communication, Semiotics and Artificial Consciousness; 6.1 Introduction; 6.2 State of the Art 6.3 Several Desirable Properties and Current Limits of the Current Machines6.4 The Sensitive Computer; 6.5 Perception, Self-representation and Self-relating; 6.6 Relationship and Relationship Representation: Key Factors in Intelligence and Communication; 6.7 Methods to Embed Relationships; 6.8 Technical Means; 6.9 Conclusions and Future Perspectives; References; Chapter 7 Time Emerges from Incomplete Clock Based on Internal Measurement; 7.1 Introduction; 7.2 Distinction by Invalidating Distinction; 7.3 Punctuated Equilibrium Resulting Asynchronous Clock; 7.4 Origin of Time; 7.5 Conclusion ReferencesChapter 8 The Logical Jump in Shell Changing in Hermit Crab and Tool Experiment in the Ants; 8.1 Introduction; 8.2 A Relationship between a Self-similarity and a Paradox; 8.3 Methods; 8.4 Results; 8.5 Conclusion and Future Perspective; References; Chapter 9 The Neurobiology of Semantics: How Can Machines be Designed to Have Meanings?; 9.1 Introduction; 9.2 Communication by Representations; 9.3 Observations of Electroencephalograms; 9.4 The Neural Basis for Intentional Action; 9.5 Linear versus Circular Causality 9.6 A Hypothesis on the Causal Relations of Meanings and Representations |
| Record Nr. | UNINA-9910825820803321 |
| Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
