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

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

Table of Contents

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    Book Overview
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    Chapter 1 Reverse Engineering the Brain Based on Machine Learning
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    Chapter 2 Who Says Formalized Models are Appropriate for Describing Living Systems?
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    Chapter 3 Mirror Neurons in the Interpretation of Action and Intentions
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    Chapter 4 Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition
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    Chapter 5 Assessment of Cortical Travelling Waves Parameters Using Radially Symmetric Solutions to Neural Field Equations with Microstructure
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    Chapter 6 The Solution to the Problem of Classifying High-Dimension fMRI Data Based on the Spark Platform
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    Chapter 7 A Rehabilitation Device for Paralyzed Disabled People Based on an Eye Tracker and fNIRS
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    Chapter 8 Analytic Model of Mental Rotation
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    Chapter 9 Topology of the Thesaurus of Russian Adjectives Revealed by Measurements of the Spoken Word Recognition Time
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    Chapter 10 Model of Self-organizing System of Autonomous Agents
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    Chapter 11 Role of Resource Production in Community of People and Robots
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    Chapter 12 Modeling of Interaction Between Learning and Evolution at Minimizing of Spin-Glass Energy
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    Chapter 13 Symmetry Learning Using Non-traditional Biologically Plausible Learning Method
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    Chapter 14 Providing Situational Awareness in the Control of Unmanned Vehicles
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    Chapter 15 Complexity of Continuous Functions and Novel Technologies for Classification of Multi-channel EEG Records
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    Chapter 16 Towards Neuroinformatic Approach for Second-Person Neuroscience
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    Chapter 17 Is the Reinforcement Learning Theory Well Suited to Fit the Functioning of the Cerebral Cortex-Basal Ganglia System?
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    Chapter 18 Neural Activity Retaining in Response to Flash Stimulus in a Ring Model of an Orientation Hypercolumn with Recurrent Connections, Synaptic Depression and Slow NMDA Kinetics
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    Chapter 19 Deep Neural Networks for Ortophoto-Based Vehicle Localization
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    Chapter 20 Roof Defect Segmentation on Aerial Images Using Neural Networks
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    Chapter 21 Choice of Hyperparameter Values for Convolutional Neural Networks Based on the Analysis of Intra-network Processes
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    Chapter 22 Generation an Annotated Dataset of Human Poses for Deep Learning Networks Based on Motion Tracking System
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    Chapter 23 Automatic Segmentation of Acute Stroke Lesions Using Convolutional Neural Networks and Histograms of Oriented Gradients
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    Chapter 24 Learning Embodied Agents with Policy Gradients to Navigate in Realistic Environments
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    Chapter 25 Comparative Efficiency of Prediction of Relativistic Electron Flux in the Near-Earth Space Using Various Machine Learning Methods
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    Chapter 26 Metal Oxide Gas Sensors Response Processing by Statistical Shape Analysis and Machine Learning Algorithm for Industrial Safety Applications
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    Chapter 27 Feature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods
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    Chapter 28 The Text Fragment Extraction Module of the Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts
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    Chapter 29 Construction of a Neural Network Semi-empirical Model of Deflection of a Sample from a Composite Material
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    Chapter 30 Combined Neural Network for Assessing the State of Computer Network Elements
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    Chapter 31 Operational Visual Control of the Presence of Students in Training Sessions
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    Chapter 32 Classification of Microscopy Image Stained by Ziehl–Neelsen Method Using Different Architectures of Convolutional Neural Network
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    Chapter 33 Using a Sparse Neural Network to Predict Clicks Probabilities in Online Advertising
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    Chapter 34 Error Analysis for Visual Question Answering
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    Chapter 35 Super Intelligence to Solve COVID-19 Problem
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    Chapter 36 Time Series Prediction by Reservoir Neural Networks
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    Chapter 37 Monitoring Human Cognitive Activity Through Biomedical Signal Analysis
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    Chapter 38 Adversarial Dataset Augmentation Using Reinforcement Learning and 3D Modeling
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    Chapter 39 Data Representation in All-Resistor Systems
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    Chapter 40 The Neuromorphic Model of the Human Visual System
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    Chapter 41 Ring of Unidirectionally Synaptically Coupled Neurons with a Relay Nonlinearity
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    Chapter 42 Find a Needle in a Haystack - Sorting arXiv Articles by Your Criteria
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    Chapter 43 Quantization of Weights of Trained Neural Network by Correlation Maximization Method
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    Chapter 44 Solar Plant Intelligent Control System Under Uniform and Non-uniform Insolation
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    Chapter 45 Hopfield Neural Network and Anisotropic Ising Model
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    Chapter 46 Development of the Learning Logic Gate for Optimization of Neural Networks at the Hardware Level
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    Chapter 47 Approximating Conductance-Based Synapses by Current-Based Synapses
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    Chapter 48 STDP-Based Classificational Spiking Neural Networks Combining Rate and Temporal Coding
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    Chapter 49 Solving Equations Describing Processes in a Piecewise Homogeneous Medium on Radial Basis Functions Networks
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    Chapter 50 Decoding Neural Signals with a Compact and Interpretable Convolutional Neural Network
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    Chapter 51 Estimation of the Complexity of the Classification Task Based on the Analysis of Variational Autoencoders
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Title
Advances in Neural Computation, Machine Learning, and Cognitive Research IV
Published by
Springer International Publishing, October 2020
DOI 10.1007/978-3-030-60577-3
ISBNs
978-3-03-060576-6, 978-3-03-060577-3
Editors

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

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