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Advances in cognitive neurodynamics (VII) : proceedings of the seventh International Conference on Cognitive Neurodynamics -- 2019 / / Alessandra Lintas [and four others], editors
| Advances in cognitive neurodynamics (VII) : proceedings of the seventh International Conference on Cognitive Neurodynamics -- 2019 / / Alessandra Lintas [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (279 pages) |
| Disciplina | 612.8233 |
| Collana | Advances in cognitive neurodynamics (Series) |
| Soggetto topico |
Cognitive neuroscience
Neurociència cognitiva |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-0317-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Committees -- Preface -- Organizers and Sponsors -- Contents -- Neurophysics and Analysis of NeuroInformation -- Seizure Detection of Epileptic EEG Based on Multiple Phase-Amplitude Coupling Methods -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods of PAC -- 2.3 Method of Classification -- 2.4 Evaluation of Classifier Performance -- 3 Results -- 4 Conclusions -- References -- EEG-Based Emotion Classification Using Entropy Features and Machine Learning Techniques -- 1 Introduction -- 2 Methods -- 2.1 Dataset and EEG Data Preprocessing -- 2.2 EEG Feature Extraction -- 2.3 EEG Feature Reduction/Selection -- 2.4 Classifiers -- 3 Results and Discussion -- 3.1 Comparison of Feature Extraction/Reduction Algorithms -- 3.2 Comparison of ML Classifiers -- 4 Conclusion and Future Outlook -- References -- Optimized Correlation-Based Time Window Selection Algorithm for Motor Imagery Based BCIs -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- The Alpha Network Changes Elicited by Working Memory Training -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- References -- Symbolic Neural Dynamics Allow for Modeling Retrograde Amnesia as Well as False Memories -- 1 Introduction -- 2 Materials and Methods -- 2.1 A New Approach to Modeling Brain Cognitive Functionalities -- 2.2 A Computational Model of an Associative Long-Term Memory -- 2.3 Simulation Platform -- 3 Results -- 3.1 A Mesoscale Circuit Representing a Memory Engram of Contextual Fear Conditioning -- 3.2 Experimental Schedule Implementation -- 3.3 Simulation Results -- 4 Discussion -- References -- A New Deep Neural Network Inspired by Directional Mutual Information Between Slow and Fast Neural Information Flow -- 1 Introduction -- 2 Materials and Methods.
3 Results -- 4 Discussion -- References -- Nonlinear Fokker-Planck Approach to the Cohen-Grossberg Model -- 1 Introduction -- 2 Nonextensive Sq Thermostatistics -- 3 The Cohen-Grossberg Neural Network Model -- 4 Fokker-Planck Approach to Cohen-Grossberg Neural Networks -- 4.1 Nonlinear Fokker-Planck Dynamics and q-Statistics for Cohen-Grossberg Models -- 5 H-Theorem -- 6 Conclusions -- References -- Functional Interactions in Neural Networks -- Equalization Effect in Interpopulation Spike-Timing-Dependent Plasticity in Two Inhibitory and Excitatory Populations -- 1 Introduction -- 2 Two I- and E-Populations with Interpopulation Synaptic Plasticity -- 3 Effects of Interpopulation STDPs on Fast Sparse Synchronization -- 4 Summary and Discussion -- References -- Acetylcholine Effects on STDP Induced on Spatial and Non-spatial Information in Dentate Gyrus -- 1 Introduction -- 2 Method -- 3 Results -- 3.1 ACh Effects on STDP Enhancement -- 3.2 ACh Effects on Baseline Amplitude -- 3.3 Contribution of mAChRs and nAChRs -- 4 Conclusion -- References -- Context-Dependent Learning and Memory Based on Spatio-Temporal Learning Rule -- 1 Introduction -- 2 Models -- 3 Results -- 4 Discussions -- References -- Time Delayed Effect Can Bring Novel Hierarchical Complex Dynamics to Neural Network? -- References -- A Cortical Network Model for Visual Attention -- 1 Introduction -- 2 Methods and Materials -- 3 Results -- 4 Discussion -- References -- Fractal Structure in Hokusai's ``Great Wave'' and the Memory Neural Network -- 1 Introduction -- 2 Simulation Results -- 3 Discussions -- References -- Auditory and Multisensory Processing -- Viewer's Attention Flow When Watching Audiovisual Cuts -- 1 Audiovisual Cuts -- 2 Methods -- 2.1 Stimuli -- 2.2 Experimental Setup -- 2.3 Participants -- 2.4 Analysis -- 3 Results -- 3.1 Decrease of Eyeblinks After the Cuts. 3.2 Spread of Potential from the Occipital to the Frontal Area -- 3.3 Styles of Edition Affect the Perception of the Cuts -- 4 Conclusions -- References -- A Possible Mechanism of Learning-Evoked Reorganization of Receptive Fields in the Primary Auditory Cortex: A Role of the Basal Ganglia, Prefrontal Cortex, Hippocampus, Acetylcholine and Dopamine -- 1 Introduction -- 2 A Hypothetical Mechanism for the Learning-Evoked Changes in the RFs of the A1 Neurons -- 2.1 Functional Organization of the Cortico- BG-thalamocortical Loops Involved in the Processing of Pure Tones -- 2.2 A Possible Mechanism for the Participation of the BG and Dopamine in Learning-Evoked Plastic Reorganizations of the RFs of the A1 Neurons -- 2.3 A Possible Mechanisms for the Participation of Attention in Plastic Reorganizations of RFs of the A1 Neurons -- 2.4 Possible Mechanisms for Participation of the Hippocampus in Plastic Reorganizations of RFs of the A1 Neurons -- 3 The Effect of ACh on Changes in RFs of the A1 Neurons During Learning -- 4 Conclusion -- References -- Auditory Processing During Sleep: A Clinical Application in Tinnitus -- 1 Introduction -- 1.1 Background -- 1.2 Tinnitus, a Misperception -- 2 Mechanisms that Underlie the Decrease in Tinnitus Intensity -- 2.1 Changes in the Electroencephalographic Waves During Sound Stimulation -- 2.2 Which Is the Stage of Sleep Responsible for the Improvement of Tinnitus? -- 3 Conclusions -- References -- Synchronization and Granger Causality Associated to Audiovisual Cuts -- 1 Audiovisual Cuts and Viewers' Connectivity -- 2 Methods -- 2.1 Participants -- 2.2 Stimuli -- 2.3 Experimental Setup -- 2.4 Analysis -- 3 Results -- 3.1 Synchronization Associated with Cuts -- 3.2 Granger Causality Associated to Cuts -- 4 Conclusions -- References. Event-Related Potentials and Fast Optical Imaging of Cortical Activity During an Auditory Oddball Task -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Procedure -- 2.3 Electrophysiological Recording -- 2.4 Optical Recording -- 3 Results -- 3.1 Grand Average ERPs -- 3.2 EROS -- 4 Discussion -- 5 Conclusion -- References -- Human Brain Dynamics and Motor Control -- Synchronization and Beta Oscillations in Globus Pallidus: Role of the Striatum -- 1 Introduction -- 2 Models and Methods -- 2.1 Models of Each Neuron -- 2.2 The Network. -- 2.3 The Connection Parameters -- 3 Results -- 4 Conclusion -- References -- ERPs in Controls and ADHD Patients During Dual N-Back Task -- 1 Introduction -- 2 Experimental Protocol -- 2.1 Participant Recruitment -- 2.2 Dual n-back task -- 2.3 Electrophysiological Recordings -- 2.4 Statistical Analysis -- 3 Results -- 3.1 Behavioral Performance -- 4 Discussion -- References -- Emotion Analysis Based on Multi-class Common Spatial Features of Scalp EEG -- 1 Methods -- 1.1 EEG Recordings -- 1.2 Multi-CSP for Emotional Feature Extraction -- 2 Results -- 2.1 Spatial Pattern for Different Emotions -- 2.2 Classification Accuracy -- 3 Conclusion -- References -- Alterations of Brain Networks Before and After Surgery in Temporal Lobe Epilepsy Patients with Hippocampal Sclerosis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Permutation Disalignment Index -- 2.3 Brain Connectivity -- 3 Results -- 3.1 Overall Distribution -- 3.2 Local Characteristics -- 3.3 Relative Characteristics -- 4 Conclusion -- References -- PSO-Sub-ABLD-Based Parameter Optimization for Motor-Imagery BCI -- 1 Introduction -- 2 Description of the Data -- 3 Method -- 3.1 Data Processing -- 3.2 Sub-Alpha-Beta Log-Det Divergences -- 3.3 PSO -- 4 Results -- 5 Conclusion -- References. Stochasticity Versus Determinacy in Neurodynamics-And the Questions of the ``Free Will'' -- 1 Introduction -- 2 Determinacy -- 2.1 Attacking the Idea of the Free Will -- 2.2 Attempts to Save the Free Will -- 3 Stochasticity -- 3.1 Ion Channels-Harnessing Stochasticity -- 3.2 Propagation of Ion Channel Stochasticity Toward Higher Functional Levels -- 4 Summary and Conclusions -- References -- From Neural Dynamics to Executive Functions: Short Papers -- Temperature Effects on Action Potential Propagation in Myelinated Axons -- The Spontaneous Spiking in Up and Down Oscillations and Its Energy Feature -- Dynamic Neural Interactions Revealed by the State-Space Ising Model -- Initial Topology in Hierarchically Organized Evolvable Neural Networks Determines the Emergence of Synfire Chains -- Nonlinear Neural Dynamics of Mutual Inhibition Circuit in a Real-Life/Computer Model Hybrid System -- A CNN-Inspired Model for Degradation Mechanism of Retina to V1 -- Mathematical Modelling for Functional Differentiation -- The Maximum Information Principle of Place Cell Activity -- Neural Coding of Reward Value in Richly Modulated Spike Patterns in Monkey Ventrolateral Prefrontal Cortex -- Comparing Working Memory in Old World Monkeys and Humans -- References -- Evolution of Primate Multilevel Social Systems: Proboscis Monkey Society as Complex System -- Social Network and Collective Intelligence Under Non-stationary Uncertain Environment -- On the Neurodynamics of Intention, Decision and Free Will -- Information Processing and Transmission in the Cerebral Cortex: Short Papers -- Representation of Real and Imagined Actions in the Early Visual Cortex -- References -- Quantifying Information Dynamics in CNS Networks -- Causal Interactions Among Cortical Regions During Sleep Based on fNIRS Recordings. Unsupervised Analysis of EEG Signals Reveals Common Personality Traits During an Iterated Ultimatum Game. |
| Record Nr. | UNINA-9910502654803321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks and Machine Learning – ICANN 2017 [[electronic resource] ] : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
| Artificial Neural Networks and Machine Learning – ICANN 2017 [[electronic resource] ] : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXI, 801 p. 200 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computers, Special purpose Computer networks Logic design Operating systems (Computers) Computer vision Artificial Intelligence Special Purpose and Application-Based Systems Computer Communication Networks Logic Design Operating Systems Computer Vision |
| ISBN | 3-319-68612-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Perception to Action -- From Neurons to Networks -- Brain Imaging; Recurrent Neural Networks -- Neuromorphic Hardware -- Brain Topology and Dynamics -- Neural Networks Meet Natural and Environmental Sciences -- Convolutional Neural Networks -- Games and Strategy -- Representation and Classification -- Clustering -- Learning from Data Streams and Time Series -- Image Processing and Medical Applications -- Advances in Machine Learning. |
| Record Nr. | UNISA-996465293403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Machine Learning – ICANN 2017 [[electronic resource] ] : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
| Artificial Neural Networks and Machine Learning – ICANN 2017 [[electronic resource] ] : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXI, 469 p. 191 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computers, Special purpose Computer networks Logic design Operating systems (Computers) Computer vision Artificial Intelligence Special Purpose and Application-Based Systems Computer Communication Networks Logic Design Operating Systems Computer Vision |
| ISBN | 3-319-68600-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Perception to Action -- From Neurons to Networks -- Brain Imaging; Recurrent Neural Networks -- Neuromorphic Hardware -- Brain Topology and Dynamics -- Neural Networks Meet Natural and Environmental Sciences -- Convolutional Neural Networks -- Games and Strategy -- Representation and Classification -- Clustering -- Learning from Data Streams and Time Series -- Image Processing and Medical Applications -- Advances in Machine Learning. |
| Record Nr. | UNISA-996465289003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Machine Learning – ICANN 2017 : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
| Artificial Neural Networks and Machine Learning – ICANN 2017 : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXI, 469 p. 191 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computers, Special purpose Computer networks Logic design Operating systems (Computers) Computer vision Artificial Intelligence Special Purpose and Application-Based Systems Computer Communication Networks Logic Design Operating Systems Computer Vision |
| ISBN | 3-319-68600-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Perception to Action -- From Neurons to Networks -- Brain Imaging; Recurrent Neural Networks -- Neuromorphic Hardware -- Brain Topology and Dynamics -- Neural Networks Meet Natural and Environmental Sciences -- Convolutional Neural Networks -- Games and Strategy -- Representation and Classification -- Clustering -- Learning from Data Streams and Time Series -- Image Processing and Medical Applications -- Advances in Machine Learning. |
| Record Nr. | UNINA-9910483014003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks and Machine Learning – ICANN 2017 : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
| Artificial Neural Networks and Machine Learning – ICANN 2017 : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXI, 801 p. 200 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computers, Special purpose Computer networks Logic design Operating systems (Computers) Computer vision Artificial Intelligence Special Purpose and Application-Based Systems Computer Communication Networks Logic Design Operating Systems Computer Vision |
| ISBN | 3-319-68612-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Perception to Action -- From Neurons to Networks -- Brain Imaging; Recurrent Neural Networks -- Neuromorphic Hardware -- Brain Topology and Dynamics -- Neural Networks Meet Natural and Environmental Sciences -- Convolutional Neural Networks -- Games and Strategy -- Representation and Classification -- Clustering -- Learning from Data Streams and Time Series -- Image Processing and Medical Applications -- Advances in Machine Learning. |
| Record Nr. | UNINA-9910483538703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||