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Advances in Neural Computation, Machine Learning, and Cognitive Research VII

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Cover of 'Advances in Neural Computation, Machine Learning, and Cognitive Research VII'

Table of Contents

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    Book Overview
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    Chapter 1 Evolution of Efficient Symbolic Communication Codes
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    Chapter 2 Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning
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    Chapter 3 Zero-Shot NER via Extractive Question Answering
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    Chapter 4 TreeCurveNet - An improved CurveNet for Tree Species Classification
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    Chapter 5 Dialogue Graphs: Enhancing Response Selection Through Target Node Separation
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    Chapter 6 Research Methods for Fake News Detection in Bangla Text
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    Chapter 7 On the Question of the Dynamic Theory of Intelligence
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    Chapter 8 Offline Deep Reinforcement Learning for Robotic Arm Control in the ManiSkill Environment
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    Chapter 9 Spiking Neural Network with Tetrapartite Synapse
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    Chapter 10 SAMDIT: Systematic Study of Adding Memory to Divided Input in the Transformer to Process Long Documents
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    Chapter 11 Towards Solving Classification Tasks Using Spiking Neurons with Fixed Weights
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    Chapter 12 A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning
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    Chapter 13 Centre-Lateral Threshold Filtering as a Method for Neuromorphic Data Coding
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    Chapter 14 Permanent Sharp Switches in Brain Waves During Spoken Word Recognition
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    Chapter 15 Cognitive Neuro-Fuzzy Control Systems
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    Chapter 16 Neurocognitive Processing of Attitude-Consistent and Attitude-Inconsistent Deepfakes: N400 Study
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    Chapter 17 Real-Time Movement-Related EEG Phenomena Detection for Portable BCI Devices. Neural Network Approach
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    Chapter 18 Recognition of Spoken Words from MEG Data Using Covariance Patterns
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    Chapter 19 Non-visual Eye-Movements Model During Performing Cognitive Tasks in Short-Term Memory
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    Chapter 20 Mechanisms for Contribution of Modifiable Inhibition to Increasing Signal-to-Noise Ratio and Contrasted Representations of Sensory Stimuli in the Neocortex
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    Chapter 21 A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces
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    Chapter 22 Graph Neural Networks for Analysis of rs-fMRI Differences in Open vs Closed Conditions
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    Chapter 23 Does a Recurrent Neural Network Form Recognizable Representations of a Fixed Event Series?
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    Chapter 24 Language Models Explain Recommendations Based on Meta-Information
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    Chapter 25 Analysis of Text Data Reliability Based on the Audience Reactions to the Message Source
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    Chapter 26 Analysing Family of Pareto Front-Based Evolutionary Algorithms for PINNs: A Case Study of Solving the Laplace Equation with Discontinuous Boundary Conditions
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    Chapter 27 Unawareness as a Cause of Determinism Violation. A Metaphoric Model
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    Chapter 28 The Variable Resistor Under a High-Frequency Signal
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    Chapter 29 Modeling of Natural Needs of Autonomous Agents
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    Chapter 30 Study of Modifications of Gender Genetic Algorithm
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    Chapter 31 Mean-Field Model of Brain Rhythms Controlled by Glial Cells
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    Chapter 32 Modeling Neuron-Like Agents with a Network Internal Structure
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    Chapter 33 Cognitive Functions of Cerebellum and Educational Neuroscience
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    Chapter 34 The Role of Pulvinar Nucleus as a Sinchronizer of Cortical Activity for Visual Target Detection is Caused by Its Functioning as Superior Colliculus–Cortex Intermediary
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    Chapter 35 The Influence of Anxiety and Exploratory Activity on Learning in Rats: Mismatch-Induced c-Fos Expression in Deep and Superficial Cortical Layers
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    Chapter 36 Image Processing with Reservoir Neural Network
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    Chapter 37 Investigation of a Spike Segment Neuron in the Offline Multi-Object Tracking Task with Embeddings Constructed by a Convolutional Network
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    Chapter 38 Realization of Super-Resolution Using Bicubic Interpolation and an Efficient Subpixel Model for Preprocessing Low Spatial Resolution Microscopic Images of Sputum
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    Chapter 39 An Intelligent Day Ahead Solar Plant’s Power Forecasting System
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    Chapter 40 Determining the Significance of Input Features in Predicting Magnetic Storms Using Machine Learning Methods
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    Chapter 41 Forest Damage Segmentation Using Machine Learning Methods on Satellite Images
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    Chapter 42 Binding Affinity Prediction in Protein-Protein Complexes Using Convolutional Neural Network
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    Chapter 43 Domain Adaptation of Spacecraft Data in Neural Network Prediction of Geomagnetic Dst Index
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    Chapter 44 LQR Approach to Aircraft Control Based on the Adaptive Critic Design
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    Chapter 45 SNAC Approach to Aircraft Motion Control
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    Chapter 46 Generating Generalized Abstracts Using a Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts
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    Chapter 47 Integration of Data from Various Physical Methods in Solving Inverse Problems of Spectroscopy by Machine Learning Methods
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    Chapter 48 The Use of a priori Information in the Neural Network Solution of the Inverse Problem of Exploration Geophysics
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    Chapter 49 Study of Rescaling Mechanism Utilization in Binary Neural Networks
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    Chapter 50 Estimating the Transfer Learning Ability of a Deep Neural Networks by Means of Representations
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    Chapter 51 Russian Language Speech Generation from Facial Video Recordings Using Variational Autoencoder
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Title
Advances in Neural Computation, Machine Learning, and Cognitive Research VII
Published by
Springer Nature Switzerland, January 2023
DOI 10.1007/978-3-031-44865-2
ISBNs
978-3-03-144864-5, 978-3-03-144865-2
Editors

Kryzhanovsky, Boris, Dunin-Barkowski, Witali, Redko, Vladimir, Tiumentsev, Yury, Klimov, Valentin

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