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Brain Informatics [[electronic resource] ] : International Conference, BI 2010, Toronto, Canada, August 28-30, 2010, Proceedings / / edited by Yiyu Yao, Ron Sun, Tomaso Poggio, Jiming Liu, Ning Zhong, Jimmy Huang
| Brain Informatics [[electronic resource] ] : International Conference, BI 2010, Toronto, Canada, August 28-30, 2010, Proceedings / / edited by Yiyu Yao, Ron Sun, Tomaso Poggio, Jiming Liu, Ning Zhong, Jimmy Huang |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XVI, 440 p. 162 illus.) |
| Disciplina | 153 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database management
Artificial intelligence Pattern recognition Application software Optical data processing User interfaces (Computer systems) Database Management Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Image Processing and Computer Vision User Interfaces and Human Computer Interaction |
| ISBN |
1-280-38848-X
9786613566409 3-642-15314-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Talks -- Fractionating the Rational Brain -- Cognitive Informatics and Denotational Mathematical Means for Brain Informatics -- Cognitive Computing -- An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning -- Modelling the Emergence of Group Decisions Based on Mirroring and Somatic Marking -- Rank-Score Characteristics (RSC) Function and Cognitive Diversity -- Cognitive Effort for Multi-agent Systems -- Behavioural Abstraction of Agent Models Addressing Mutual Interaction of Cognitive and Affective Processes -- Data Brain and Analysis -- The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment -- Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos -- Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids -- Feature Rating by Random Subspaces for Functional Brain Mapping -- Recurrence Plots for Identifying Memory Components in Single-Trial EEGs -- Comparing EEG/ERP-Like and fMRI-Like Techniques for Reading Machine Thoughts -- Improving Individual Identification in Security Check with an EEG Based Biometric Solution -- Neuronal Modeling and Brain Modeling -- Segmentation of 3D Brain Structures Using the Bayesian Generalized Fast Marching Method -- Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions -- Guessing What’s on Your Mind: Using the N400 in Brain Computer Interfaces -- A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity -- Perception and Information Processing -- How Does Repetition of Signals Increase Precision of Numerical Judgment? -- Sparse Regression Models of Pain Perception -- A Study of Mozart Effect on Arousal, Mood, and Attentional Blink -- Learning -- Attentional Disengage from Test-Related Pictures in Test-Anxious Students: Evidence from Event-Related Potentials -- Concept Learning in Text Comprehension -- A Qualitative Approach of Learning in Parkinson’s Disease -- Cognition-Inspired Applications -- Modelling Caregiving Interactions during Stress -- Computational Modeling and Analysis of Therapeutical Interventions for Depression -- A Time Series Based Method for Analyzing and Predicting Personalized Medical Data -- Language Analytics for Assessing Brain Health: Cognitive Impairment, Depression and Pre-symptomatic Alzheimer’s Disease -- The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks -- Data Fusion and Feature Selection for Alzheimer’s Diagnosis -- A Cognitive Architecture Based on Neuroscience for the Control of Virtual 3D Human Creatures -- Towards Inexpensive BCI Control for Wheelchair Navigation in the Enabled Environment – A Hardware Survey -- Expression Recognition Methods Based on Feature Fusion -- Investigation on Human Characteristics of Japanese Katakana Recognition by Active Touch -- WICI Perspectives on Brain Informatics -- Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System -- The Role of the Parahippocampal Cortex in Memory Encoding and Retrieval: An fMRI Study -- Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study -- Clustering of fMRI Data Using Affinity Propagation -- Interaction between Visual Attention and Goal Control for Speeding Up Human Heuristic Search -- The Role of Posterior Parietal Cortex in Problem Representation -- Basic Level Advantage and Its Switching during Information Retrieval: An fMRI Study. |
| Record Nr. | UNISA-996465957203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Hybrid Neural Systems [[electronic resource] /] / edited by Stefan Wermter, Ron Sun
| Hybrid Neural Systems [[electronic resource] /] / edited by Stefan Wermter, Ron Sun |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
| Descrizione fisica | 1 online resource (XI, 401 p.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Neurosciences
Artificial intelligence Computers Microprocessors Artificial Intelligence Computation by Abstract Devices Processor Architectures |
| ISBN | 3-540-46417-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Overview of Hybrid Neural Systems -- An Overview of Hybrid Neural Systems -- Structured Connectionism and Rule Representation -- Layered Hybrid Connectionist Models for Cognitive Science -- Types and Quantifiers in SHRUTI – A Connectionist Model of Rapid Reasoning and Relational Processing -- A Recursive Neural Network for Reflexive Reasoning -- A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning -- Addressing Knowledge-Representation Issues in Connectionist Symbolic Rule Encoding for General Inference -- Towards a Hybrid Model of First-Order Theory Refinement -- Distributed Neural Architectures and Language Processing -- Dynamical Recurrent Networks for Sequential Data Processing -- Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective -- Combining Maps and Distributed Representations for Shift-Reduce Parsing -- Towards Hybrid Neural Learning Internet Agents -- A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations -- Large Patterns Make Great Symbols: An Example of Learning from Example -- Context Vectors: A Step Toward a “Grand Unified Representation” -- Integration of Graphical Rules with Adaptive Learning of Structured Information -- Transformation and Explanation -- Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks -- Symbolic Rule Extraction from the DIMLP Neural Network -- Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics -- Direct Explanations and Knowledge Extraction from a Multilayer Perceptron Network that Performs Low Back Pain Classification -- High Order Eigentensors as Symbolic Rules in Competitive Learning -- Holistic Symbol Processing and the Sequential RAAM: An Evaluation -- Robotics, Vision and Cognitive Approaches -- Life, Mind, and Robots -- Supplementing Neural Reinforcement Learning with Symbolic Methods -- Self-Organizing Maps in Symbol Processing -- Evolution of Symbolisation: Signposts to a Bridge between Connectionist and Symbolic Systems -- A Cellular Neural Associative Array for Symbolic Vision -- Application of Neurosymbolic Integration for Environment Modelling in Mobile Robots. |
| Record Nr. | UNISA-996465826103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Hybrid Neural Systems / / edited by Stefan Wermter, Ron Sun
| Hybrid Neural Systems / / edited by Stefan Wermter, Ron Sun |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
| Descrizione fisica | 1 online resource (XI, 401 p.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Neurosciences
Artificial intelligence Computers Microprocessors Artificial Intelligence Computation by Abstract Devices Processor Architectures |
| ISBN | 3-540-46417-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Overview of Hybrid Neural Systems -- An Overview of Hybrid Neural Systems -- Structured Connectionism and Rule Representation -- Layered Hybrid Connectionist Models for Cognitive Science -- Types and Quantifiers in SHRUTI – A Connectionist Model of Rapid Reasoning and Relational Processing -- A Recursive Neural Network for Reflexive Reasoning -- A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning -- Addressing Knowledge-Representation Issues in Connectionist Symbolic Rule Encoding for General Inference -- Towards a Hybrid Model of First-Order Theory Refinement -- Distributed Neural Architectures and Language Processing -- Dynamical Recurrent Networks for Sequential Data Processing -- Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective -- Combining Maps and Distributed Representations for Shift-Reduce Parsing -- Towards Hybrid Neural Learning Internet Agents -- A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations -- Large Patterns Make Great Symbols: An Example of Learning from Example -- Context Vectors: A Step Toward a “Grand Unified Representation” -- Integration of Graphical Rules with Adaptive Learning of Structured Information -- Transformation and Explanation -- Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks -- Symbolic Rule Extraction from the DIMLP Neural Network -- Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics -- Direct Explanations and Knowledge Extraction from a Multilayer Perceptron Network that Performs Low Back Pain Classification -- High Order Eigentensors as Symbolic Rules in Competitive Learning -- Holistic Symbol Processing and the Sequential RAAM: An Evaluation -- Robotics, Vision and Cognitive Approaches -- Life, Mind, and Robots -- Supplementing Neural Reinforcement Learning with Symbolic Methods -- Self-Organizing Maps in Symbol Processing -- Evolution of Symbolisation: Signposts to a Bridge between Connectionist and Symbolic Systems -- A Cellular Neural Associative Array for Symbolic Vision -- Application of Neurosymbolic Integration for Environment Modelling in Mobile Robots. |
| Record Nr. | UNINA-9910144131803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sequence Learning [[electronic resource] ] : Paradigms, Algorithms, and Applications / / edited by Ron Sun, C.Lee Giles
| Sequence Learning [[electronic resource] ] : Paradigms, Algorithms, and Applications / / edited by Ron Sun, C.Lee Giles |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 396 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity |
| ISBN | 3-540-44565-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | to Sequence Learning -- to Sequence Learning -- Sequence Clustering and Learning with Markov Models -- Sequence Learning via Bayesian Clustering by Dynamics -- Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series -- Sequence Prediction and Recognition with Neural Networks -- Anticipation Model for Sequential Learning of Complex Sequences -- Bidirectional Dynamics for Protein Secondary Structure Prediction -- Time in Connectionist Models -- On the Need for a Neural Abstract Machine -- Sequence Discovery with Symbolic Methods -- Sequence Mining in Categorical Domains: Algorithms and Applications -- Sequence Learning in the ACT-R Cognitive Architecture: Empirical Analysis of a Hybrid Model -- Sequential Decision Making -- Sequential Decision Making Based on Direct Search -- Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning -- Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making -- Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning -- Biologically Inspired Sequence Learning Models -- Multiple Forward Model Architecture for Sequence Processing -- Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing -- Attentive Learning of Sequential Handwriting Movements: A Neural Network Model. |
| Record Nr. | UNISA-996465834903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Sequence Learning : Paradigms, Algorithms, and Applications / / edited by Ron Sun, C.Lee Giles
| Sequence Learning : Paradigms, Algorithms, and Applications / / edited by Ron Sun, C.Lee Giles |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 396 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity |
| ISBN | 3-540-44565-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | to Sequence Learning -- to Sequence Learning -- Sequence Clustering and Learning with Markov Models -- Sequence Learning via Bayesian Clustering by Dynamics -- Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series -- Sequence Prediction and Recognition with Neural Networks -- Anticipation Model for Sequential Learning of Complex Sequences -- Bidirectional Dynamics for Protein Secondary Structure Prediction -- Time in Connectionist Models -- On the Need for a Neural Abstract Machine -- Sequence Discovery with Symbolic Methods -- Sequence Mining in Categorical Domains: Algorithms and Applications -- Sequence Learning in the ACT-R Cognitive Architecture: Empirical Analysis of a Hybrid Model -- Sequential Decision Making -- Sequential Decision Making Based on Direct Search -- Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning -- Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making -- Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning -- Biologically Inspired Sequence Learning Models -- Multiple Forward Model Architecture for Sequence Processing -- Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing -- Attentive Learning of Sequential Handwriting Movements: A Neural Network Model. |
| Record Nr. | UNINA-9910143630103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||