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Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
| Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
| Autore | Kryzhanovsky Boris |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XVI, 441 p. 169 illus., 101 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Control engineering Bionics Computational Intelligence Machine Learning Control and Systems Theory Bioinspired Technologies |
| ISBN | 3-030-60577-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483669703321 |
Kryzhanovsky Boris
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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
| 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 |
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Kryzhanovsky Boris
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia
| Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia |
| Autore | Kryzhanovsky Boris |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (505 pages) |
| Altri autori (Persone) |
Dunin-BarkowskiWitali
RedkoVladimir TiumentsevYury KlimovValentin |
| Collana | Studies in Computational Intelligence Series |
| ISBN | 3-031-44865-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Neuroinformatics and Artificial Intelligence -- Evolution of Efficient Symbolic Communication Codes -- 1 Introduction -- 2 Approach -- 2.1 Tokenization or Word-Level Text Segmentation -- 2.2 Morphological Parsing or Subword-Level Text Segmentation -- 3 Results -- 3.1 Tokenization or Word-Level Text Segmentation -- 3.2 Morphological Parsing or Subword-Level Text Segmentation -- 4 Conclusions -- References -- Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning -- 1 Introduction -- 2 Data and Methods -- 2.1 PTB-XL Data Set -- 2.2 Time Series Classification Algorithms -- 2.3 Multilabel Classification Metrics -- 3 Experimental Results -- 3.1 Description of the Task -- 3.2 The Ensemble with the Best Predictive Power -- 3.3 Experimental Details -- 4 Conclusions -- References -- Zero-Shot NER via Extractive Question Answering -- 1 Introduction -- 2 Related Work -- 2.1 Extractive Question Answering -- 2.2 Zero-Shot NER via Extractive QA -- 3 Datasets -- 4 Experimental Setup -- 5 Results -- 6 Conclusion -- References -- TreeCurveNet - An improved CurveNet for Tree Species Classification -- 1 Introduction -- 2 Related works -- 3 Methods -- 4 Experiements -- 5 Conclusion -- References -- Dialogue Graphs: Enhancing Response Selection Through Target Node Separation -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Response Selection -- 4.1 Embedders -- 4.2 Non-graph Models -- 4.3 Graph Models -- 4.4 Metrics -- 5 Experiments -- 5.1 Setup -- 5.2 Dialogue Graph and Dialogue Graph with TNS -- 5.3 Optimal Cluster Count on MultiWoZ -- 5.4 Consecutive Utterance Embedding for Enhanced Clustering -- 6 Results and Discussion -- 7 Conclusion -- A Appenix -- A.1 Description of Datasets -- A.2 Edge Clustering -- A.3 Performance on All Datasets -- References.
Research Methods for Fake News Detection in Bangla Text -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Result Analysis -- 5 Conclusions -- References -- On the Question of the Dynamic Theory of Intelligence -- 1 Introduction -- 2 Basic Concepts and Models of Complex Systems -- 3 Dynamic System -- 4 Symbolic Dynamics -- 5 Metagraph Models and Information -- 6 Conclusions -- 7 Definition of the Concept of "Intelligence" -- References -- Offline Deep Reinforcement Learning for Robotic Arm Control in the ManiSkill Environment -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments -- 4.1 Experimental Results -- 4.2 Experiment Analysis -- 5 Conclusion -- References -- Neuromorphic Computing and Deep Learning -- Spiking Neural Network with Tetrapartite Synapse -- 1 Introduction -- 2 The Model -- 2.1 Neuron Model -- 2.2 Astrocyte Model -- 2.3 Extracellular Matrix Model -- 2.4 Spiking Neural Network -- 2.5 Results -- 3 Conclusion -- References -- SAMDIT: Systematic Study of Adding Memory to Divided Input in the Transformer to Process Long Documents -- 1 Introduction -- 2 Positional Encoding for Long Documents -- 3 The Proposed Approach -- 4 Datasets -- 5 Experiments Setup -- 6 Results and Discussion -- 7 Conclusion -- References -- Towards Solving Classification Tasks Using Spiking Neurons with Fixed Weights -- 1 Introduction -- 2 Datasets -- 3 Input Preprocessing -- 4 Spiking Neuron Layer Setup -- 5 Neuron Model -- 6 Experiments -- 7 Results -- 8 Conclusions -- References -- A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning -- 1 Introduction -- 2 Unsupervised Learning in Spiking Domain -- 3 The Algorithm SCoBUL - Network, Neuron, Synaptic Plasticity -- 3.1 Synaptic Resource -- 3.2 Unconditional Synapse Depression -- 3.3 Constant Symmetric STDP -- 3.4 Suppression of Strong Inactive Synapses. 3.5 Constant Total Synaptic Resource -- 4 Experimental Comparison of STDP and SCoBUL Plasticity Rules on an Imitated DVS Signal -- 5 Conclusion -- References -- Centre-Lateral Threshold Filtering as a Method for Neuromorphic Data Coding -- 1 Introduction -- 2 Image Representation by a Sample of Counts and Its Encoding with a of Receptive Field-Like Components -- 3 Centre-Lateral Threshold Filtering Based on the Partition of Sampling Representation by a System of Receptive Fields -- 4 Conclusions -- References -- Neural Networks and Cognitive Sciences -- Permanent Sharp Switches in Brain Waves During Spoken Word Recognition -- 1 Introduction -- 2 Methods -- 3 Results: Sharp Changes of the Signal Time Course -- 4 Discussion -- References -- Cognitive Neuro-Fuzzy Control Systems -- 1 Introduction -- 2 Cognitive Control of Robotic Devices -- 3 Neuro-Fuzzy Implementation of Cognitive Functions -- 4 Mobile Robot Control Experiments -- 5 Conclusion -- References -- Neurocognitive Processing of Attitude-Consistent and Attitude-Inconsistent Deepfakes: N400 Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion -- References -- Real-Time Movement-Related EEG Phenomena Detection for Portable BCI Devices. Neural Network Approach -- 1 Introduction -- 2 Methods -- 2.1 Experiment -- 2.2 Analysis -- 2.3 Models -- 3 Results -- 4 Conclusion -- References -- Recognition of Spoken Words from MEG Data Using Covariance Patterns -- 1 Introduction -- 2 Measurements -- 3 Data Analysis -- 4 Results -- 5 Discussion -- References -- Non-visual Eye-Movements Model During Performing Cognitive Tasks in Short-Term Memory -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References. Mechanisms for Contribution of Modifiable Inhibition to Increasing Signal-to-Noise Ratio and Contrasted Representations of Sensory Stimuli in the Neocortex -- 1 Introduction -- 2 Contribution of Modifiable Afferent Inhibition to Long-term Rise in the Signal-to-Noise Ratio -- 3 Contribution of Dopamine-Dependent Synaptic Modifications to the Generation of Contrasted Representations of Sensory Stimuli in the Neocortex -- 4 The Role of Various Neuromodulatory Mechanisms in the Shaping Contrasted Representation of a Sensory Stimulus in the Neocortex -- 5 Conclusions -- References -- A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces -- 1 Introduction -- 2 Brain-Computer Interfaces Based on the SSVEP Paradigm -- 3 Photostimuli Presenting Device -- 4 The Results of Device Testing -- 5 Conclusion -- References -- Graph Neural Networks for Analysis of rs-fMRI Differences in Open vs Closed Conditions -- 1 Introduction -- 2 Data and Methods -- 3 Results -- 4 Conclusion and Discussion -- References -- Does a Recurrent Neural Network Form Recognizable Representations of a Fixed Event Series? -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Language Models Explain Recommendations Based on Meta-Information -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 3.1 Movies Dataset -- 3.2 Books Dataset -- 3.3 Dishes Dataset -- 4 Methodology -- 4.1 Fine-Tuning LLMs to Generate Explanations -- 4.2 Explaining Collaborative Filtering Models -- 4.3 Domain Transfer -- 4.4 Prompting -- 5 Metrics -- 5.1 Score Based on the Same Tokens -- 5.2 Score Adding Points for Movie Tokens -- 5.3 Score with Penalties -- 6 Experiments -- 6.1 Fine-Tuning LLMs -- 6.2 Domain Transfer -- 7 Conclusion -- A Generation Examples -- References. Analysis of Text Data Reliability Based on the Audience Reactions to the Message Source -- 1 Introduction -- 2 Data Structure and Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Adaptive Behavior and Evolutionary Simulation -- Analysing Family of Pareto Front-Based Evolutionary Algorithms for PINNs: A Case Study of Solving the Laplace Equation with Discontinuous Boundary Conditions -- 1 Introduction -- 2 Materials and Methods -- 2.1 Problem Statement -- 2.2 General Neural Networks Approach (PINNs) -- 2.3 Family of Evolutionary Algorithms for PINN Training -- 3 Computational Experiments and Results -- 4 Conclusions and Discussion -- References -- Unawareness as a Cause of Determinism Violation. A Metaphoric Model -- 1 Introduction -- 2 The Basic Model -- 3 A Single Agent -- 4 Several Agents -- 5 Conclusion -- References -- The Variable Resistor Under a High-Frequency Signal -- 1 Introduction -- 2 Equations -- 3 Periodic Current Through the Resistor -- 4 Periodic Voltage Across the Resistor -- 5 Conclusions -- References -- Modeling of Natural Needs of Autonomous Agents -- 1 Introduction -- 2 Model Description -- 2.1 Motivations of Agents -- 2.2 Actions of Agents -- 3 Results of Computer Simulation -- 4 Conclusion -- References -- Study of Modifications of Gender Genetic Algorithm -- 1 Introduction -- 2 Modifications of Gender Genetic Algorithm -- 2.1 Conventional Genetic Algorithm -- 2.2 Gender Genetic Algorithm -- 2.3 Selection Operator Modification -- 2.4 Mutation Operator Modification -- 3 Computational Experiment -- 3.1 Test Optimization Problems -- 3.2 Evaluation Metrics -- 3.3 Statement of the Computational Experiment -- 4 Results -- 5 Conclusion -- References -- Modern Methods and Technologies in Neurobiology -- Mean-Field Model of Brain Rhythms Controlled by Glial Cells -- 1 Introduction -- 2 The Model -- 2.1 Results. 3 Conclusions. |
| Record Nr. | UNINA-9910751390403321 |
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Kryzhanovsky Boris
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| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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