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Artificial Neural Networks and Machine Learning -- ICANN 2012 [[electronic resource] ] : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I / / edited by Alessandro Villa, Wlodzislaw Duch, Peter Erdi, Francesco Masulli, Günther Palm
| Artificial Neural Networks and Machine Learning -- ICANN 2012 [[electronic resource] ] : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I / / edited by Alessandro Villa, Wlodzislaw Duch, Peter Erdi, Francesco Masulli, Günther Palm |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXVII, 739 p. 303 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-642-33269-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Temporal Patterns in Artificial Reaction Networks -- Properties of the Hopfield Model with Weighted Patterns -- Dynamics and Oscillations of GHNNs with Time-Varying Delay -- A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences -- Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure -- The Mix-Matrix Method in the Problem of Binary Quadratic Optimization -- A Rule Chaining Architecture Using a Correlation Matrix Memory -- A Generative Multiset Kernel for Structured Data -- Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization -- Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons -- Tikhonov-Type Regularization for Restricted Boltzmann Machines -- Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates -- Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core -- Impact of Frequency on the Energetic Efficiency of Action Potentials -- A Large-Scale Spiking Neural Network Accelerator for FPGA Systems -- Silicon Neurons That Compute -- A Communication Infrastructure for Emulating Large-Scale Neural Networks Models -- Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity -- Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis -- Bifurcating Neurons with Filtered Base Signals -- Basic Analysis of Digital Spike Maps -- Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL -- A Biophysical Network Model Displaying the Role of Basal Ganglia Pathways in Action Selection -- How Degrading Networks Can Increase Cognitive Functions -- Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities -- Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity -- Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball -- Timing Self-generated Actions for Sensory Streaming -- The Capacity and the Versatility of the Pulse Coupled Neural Network in the Image Matching -- A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron -- Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation -- A Biologically Realizable Bayesian Computation in a Cortical Neural Network -- Evaluating the Effect of Spiking Network Parameters on Polychronization -- Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks -- Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform -- Differential Entropy of Multivariate Neural Spike Trains -- Learning Representations for Animated Motion Sequence and Implied Motion Recognition -- Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning -- Control of Biped Robot Joints’ Angles Using Coordinated Matsuoka Oscillators -- Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors -- Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions -- A Proposed Neural Control for the Trajectory Tracking of a Nonholonomic Mobile Robot with Disturbances -- Simulating Light Adaptation in the Retina with Rod-Cone Coupling -- Evolving Neural Networks for Orientation Behavior of Sand Scorpions towards Prey -- Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition -- Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli -- An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks -- Some Things Psychopathologies Can Tell Us about Consciousness -- Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution -- Contour Detection by CORF Operator -- Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection -- Face Recognition with Disparity Corrected Gabor Phase Differences -- Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree -- Biological Brain and Binary Code: Quality of Coding for Face Recognition -- Making a Reinforcement Learning Agent Believe -- Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks -- Adaptive Neural Oscillator with Synaptic Plasticity Enabling Fast Resonance Tuning -- Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity -- Understanding the Role of Serotonin in Basal Ganglia through a Unified Model -- Learning How to Select an Action: A Computational Model -- A Dynamic Binding Mechanism for Retrieving and Unifying Complex Predicate-Logic Knowledge -- Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders -- Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks -- Learning to Imitate YMCA with an ESN -- A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction -- Bayesian Inference with Efficient Neural Population Codes -- Learning Sequence Neighbourhood Metrics -- Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model -- Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir -- Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network -- The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data -- Echo State Networks for Multi-dimensional Data Clustering -- The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory -- Self-organized Reservoirs and Their Hierarchies -- On-Line Processing of Grammatical Structure Using Reservoir Computing -- Constructing Robust Liquid State Machines to Process Highly Variable Data Streams -- Infinite Sparse Threshold Unit Networks -- Learning Two-Layer Contractive Encodings -- Effects of Architecture Choices on Sparse Coding in Speech Recognition -- Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives -- Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model -- Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain -- Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller -- Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI) -- Recognizing Human Activities Using a Layered Markov Architecture -- PSO for Reservoir Computing Optimization -- One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction -- Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems -- Dual Support Vector Domain Description for Imbalanced Classification -- Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling -- A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations. |
| Record Nr. | UNISA-996465574003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computational Neuroscience: Cortical Dynamics [[electronic resource] ] : 8th International Summer School on Neural Nets, Erice, Italy, October 31 - November 6, 2003 Revised Lectures / / edited by Peter Erdi, Anna Esposito, Maria Marinaro, Silvia Scarpetta
| Computational Neuroscience: Cortical Dynamics [[electronic resource] ] : 8th International Summer School on Neural Nets, Erice, Italy, October 31 - November 6, 2003 Revised Lectures / / edited by Peter Erdi, Anna Esposito, Maria Marinaro, Silvia Scarpetta |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (IX, 164 p.) |
| Disciplina | 612.825 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Neurology
Computers Artificial intelligence Computer memory systems Computer science—Mathematics Neurosciences Neurology Computation by Abstract Devices Artificial Intelligence Memory Structures Symbolic and Algebraic Manipulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section 1 – Fundamentals of Cortical Dynamics -- Dynamics of Storage and Recall in Hippocampal Associative Memory Networks -- On the Nested Hierarchical Organization of CNS: Basic Characteristics of Neuronal Molecular Networks -- Neural Phase Transitions That Made Us Mammals -- Section 2 – Mathematical Models of Cortical Dynamics -- Mean Field Methods for Cortical Network Dynamics -- Chaotic Neuron Dynamics, Synchronization, and Feature Binding -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity I: Chaotic Itinerancy Can Provide a Mathematical Basis for Information Processing in Cortical Transitory and Nonstationary Dynamics -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity II: Does Cantor Coding Provide a Dynamic Model for the Formation of Episodic Memory? -- Itinerant Dynamics of Class I* Neurons Coupled by Gap Junctions. |
| Record Nr. | UNISA-996465536703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Neuroscience: Cortical Dynamics : 8th International Summer School on Neural Nets, Erice, Italy, October 31 - November 6, 2003 Revised Lectures / / edited by Peter Erdi, Anna Esposito, Maria Marinaro, Silvia Scarpetta
| Computational Neuroscience: Cortical Dynamics : 8th International Summer School on Neural Nets, Erice, Italy, October 31 - November 6, 2003 Revised Lectures / / edited by Peter Erdi, Anna Esposito, Maria Marinaro, Silvia Scarpetta |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (IX, 164 p.) |
| Disciplina | 612.825 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Neurology
Computers Artificial intelligence Computer storage devices Computer science—Mathematics Neurosciences Computation by Abstract Devices Artificial Intelligence Memory Structures Symbolic and Algebraic Manipulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section 1 – Fundamentals of Cortical Dynamics -- Dynamics of Storage and Recall in Hippocampal Associative Memory Networks -- On the Nested Hierarchical Organization of CNS: Basic Characteristics of Neuronal Molecular Networks -- Neural Phase Transitions That Made Us Mammals -- Section 2 – Mathematical Models of Cortical Dynamics -- Mean Field Methods for Cortical Network Dynamics -- Chaotic Neuron Dynamics, Synchronization, and Feature Binding -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity I: Chaotic Itinerancy Can Provide a Mathematical Basis for Information Processing in Cortical Transitory and Nonstationary Dynamics -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity II: Does Cantor Coding Provide a Dynamic Model for the Formation of Episodic Memory? -- Itinerant Dynamics of Class I* Neurons Coupled by Gap Junctions. |
| Record Nr. | UNINA-9910144169903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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