Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia |
Autore | Kryzhanovsky Boris |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
Descrizione fisica | 1 online resource (365 pages) |
Altri autori (Persone) |
Dunin-BarkowskiWitali
RedkoVladimir TiumentsevYury KlimovValentin V |
Collana | Studies in Computational Intelligence Ser. |
Soggetto genere / forma | Electronic books. |
ISBN |
9783030915810
9783030915803 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910510533903321 |
Kryzhanovsky Boris | ||
Cham : , : Springer International Publishing AG, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists : Proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017) / / edited by Alexei V. Samsonovich, Valentin V. Klimov |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIX, 358 p. 133 illus.) |
Disciplina | 006 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Biomedical engineering
User interfaces (Computer systems) Artificial intelligence Biomedical Engineering and Bioengineering User Interfaces and Human Computer Interaction Artificial Intelligence |
ISBN | 3-319-63940-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910299871503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists : Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) / / edited by Alexei V. Samsonovich, Valentin V. Klimov, Galina V. Rybina |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (296 p.) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Neurosciences Cognitive psychology Biomedical engineering Computational Intelligence Artificial Intelligence Neuroscience Cognitive Psychology Biomedical Engineering and Bioengineering |
ISBN | 3-319-32554-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Models of Autonomous Cognitive Agents -- Differentiation of Groundwater Tax Rates as an Element of Improving the Economic Mechanism in the State Groundwater Extraction Management -- Users' of Information Systems Protection Analysis from Malefactor's Social Engineering Attacks Taking into Account Malefactor's Competence Profile -- Character Reasoning of the Social Network Users on the Basis of the Content Contained on Their Personal Pages -- Bayesian Optimization of Spiking Neural Network Parameters to Solving the Time Series Classification Task -- Simulation of Learning in Neuronal Culture -- Unsupervised Neural Architecture for Saliency Detection: Extended Version -- Active adaptation of expert-based suggestions in ladieswear recommender system LookBooksClub via Reinforcement Learning -- Visual Analytics Support for Carbon Nanotube Design Automation -- A model of Neurodynamics of Hippocampal Formation Neurons Performing Spatial Processing Based on Even Cyclic Inhibitory Networks -- Feature Selection for Time-Series Prediction in Case of Undetermined Estimation -- A New Approach for Semantic Cognitive Maps Creation and Evaluation Based on Affix Relations -- On Alternative Instruments for the fMRI Data Analysis: General Linear Model Versus Algebraic Topology Approach -- Application of Hopfield Neural Network to the N-Queens Problem -- Simulation of a Fear-Like State on a Model of Dopamine System of Rat Brain -- Spatial and Temporal Parameters of Eye Movements During Viewing of Affective Images -- MEG Data Analysis Using the Empirical Mode Decomposition Method -- Evolutional Approach to Image Processing on the Example of Microsections -- "Cognovisor" for the Human Brain: Towards Mapping of Thought Processes by a Combination of fMRI and Eye-tracking -- Dynamic Intelligent Systems Integration and Evolution of Intelligent Control Systems Architectures -- Automated Planning: Usage for Integrated Expert Systems Construction -- Some Aspects of Temporal Knowledge Acquisition and Representation in Dynamic Integrated Expert Systems -- Collaboration of All-purpose Static Solver, Temporal Reasoning and Simulation Modeling Tools in Dynamic Integrated Expert Systems -- Some Aspects of Intellectual Tutoring Based on the Integrated Tutoring Expert Systems Usage -- To the Question of Learnability of a Spiking Neuron with Spike-Timing-Dependent Plasticity in Case of Complex Input Signals -- Causal Interactions Within the Default Mode Network as Revealed by Low-frequency Brain Fluctuations and Information Transfer Entropy -- Hierarchical Temporal Memory Implementation with Explicit States Extraction -- Swarm MeLiF: Feature Selection with Filter Combination Found via Swarm Intelligence -- Agent-based Model of Interactions in the Community of Investors and Producers -- Patterns of Spiking Activity of Neuronal Networks in Vitro as Memory Traces -- The Competency Management Based on Ontologies: Issues of Using in Organizations -- The Approach to Modeling of Synchronized Bursting in Neuronal Culture Using a Mathematical Model of a Neuron with Autoregulation Mechanism -- Dynamic Clustering of Connections Between fMRI Resting State Networks: A Comparison of Two Methods of Data Analysis -- Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts -- Prediction of Relativistic Electrons Flux in the Outer Radiation Belt of the Earth Using Adaptive Methods -- Comparative Analysis of Residual Minimization and Artificial Neural Networks as Methods of Solving Inverse Problems: Test on Model Data -- A Biologically Inspired Architecture for Visual Self-Location. |
Record Nr. | UNINA-9910254251503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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