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

Table of Contents

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   Book Overview
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   Chapter 1 Tree Inventory with LiDAR Data
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   Chapter 2 Towards Reliable Solar Atmospheric Parameters Neural-Based Inference
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   Chapter 3 Addressing Task Prioritization in Model-based Reinforcement Learning
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   Chapter 4 Automatic Generation of Conversational Skills from Dialog Datasets
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   Chapter 5 Individual Topology Structure of Eye Movement Trajectories
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   Chapter 6 Neural Network Providing the Involvement of Voluntary Attention into the Processing and Conscious Perception of Sensory Information
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   Chapter 7 Alpha Rhythm Dynamics During Spoken Word Recognition
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   Chapter 8 Robotic Devices Control Based on Neuromorphic Classifiers of Imaginary Motor Commands
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    Chapter 9 A Software System for Training Motor Imagery in Virtual Reality
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    Chapter 10 On the Importance of Diversity
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    Chapter 11 “MYO-chat” – A New Computer Control System for People with Disabilities
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    Chapter 12 Low-Bit Quantization of Transformer for Audio Speech Recognition
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    Chapter 13 A Model of Predicting and Using Regularities by an Autonomous Agent
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    Chapter 14 A Review of One-Shot Neural Architecture Search Methods
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    Chapter 15 Does a Recurrent Neural Network Use Reflection During a Reflexive Game?
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    Chapter 16 A Gender Genetic Algorithm and Its Comparison with Conventional Genetic Algorithm
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    Chapter 17 Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia
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    Chapter 18 Dynamics of Background and Evoked Activity of Neurons in the Auditory Cortex of the Unanaesthetized Cat
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    Chapter 19 Search for Markers of Moderate Cognitive Disorders Through Phase Synchronization Between Rhythmic Photostimulus and EEG Pattern
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    Chapter 20 Astrocytes Enhance Image Representation Encoded in Spiking Neural Network
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    Chapter 21 Classification of Neuron Type Based on Average Activity
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    Chapter 22 Comparative Analysis of Statistical and Neural Network Classification Methods on the Example of Synthetized Data in the Stimulus-Independent Brain-Computer Interface Paradigm
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    Chapter 23 Shunting Effect of Synaptic Channels Located on Presynaptic Terminal
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    Chapter 24 Analysis of Appearances, Formation and Evolution of Biological Functional Systems
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    Chapter 25 The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex
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    Chapter 26 To the Role of Inferior Olives in Cerebellar Neuromechanics
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    Chapter 27 Sleep of Poor and Good Nappers Under the Afternoon Exposure to Very Weak Electromagnetic Fields
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    Chapter 28 Classification of Light Microscopy Image Using Probabilistic Bayesian Neural Network
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    Chapter 29 SPICE Model of Analog Content-Addressable Memory Based on 2G FeFET Crossbar
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    Chapter 30 IQ-GAN: Instance-Quantized Image Synthesis
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    Chapter 31 Specifics of Crossbar Resistor Arrays
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    Chapter 32 Recurrent and Graph Neural Networks for Particle Tracking at the BM@N Experiment
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    Chapter 33 Modeling of a Neural Network Algorithm for Suppressing Non-stationary Interference in an Adaptive Antenna Array
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    Chapter 34 Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning
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    Chapter 35 Center3dAugNet: Effect of Rotation Representation on One-Stage Joint Car Detection and 6D-Pose Estimation
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    Chapter 36 Global Memory Transformer for Processing Long Documents
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    Chapter 37 Development of Convolutional Neural Network for Defining a Renal Pathology Using Computed Tomography Images
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    Chapter 38 Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm
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    Chapter 39 DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English
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    Chapter 40 Multi-input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks
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    Chapter 41 Integration of Data and Algorithms in Solving Inverse Problems of Spectroscopy of Solutions by Machine Learning Methods
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    Chapter 42 Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data
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    Chapter 43 Multitask Learning for Extensive Object Description to Improve Scene Understanding on Monocular Video
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    Chapter 44 Use of Classification Algorithms to Predict the Grade of Geomagnetic Disturbance
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    Chapter 45 Information Processing in Spiking Neuron-Astrocyte Network in Ageing
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    Chapter 46 Multilingual Case-Insensitive Named Entity Recognition
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    Chapter 47 Multilevel Separation Pipeline for Similar Structure Data
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    Chapter 48 Creating a Brief Review of Judicial Practice Using Clustering Methods
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    Chapter 49 “GAS” Instead of “Liquid”: Which Liquid State Machine is Better?
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    Chapter 50 Using a Resistor Array to Tackle Optimization Problems
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    Chapter 51 Generative Adversarial Networks as an Approach to Unsupervised Link Prediction Problem
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    Chapter 52 DGAC: Dialogue Graph Auto Construction Based on Data with a Regular Structure
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    Chapter 53 Relay System of Differential Equations with Delay as a Perceptron Model
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    Chapter 54 Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator
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    Chapter 55 An Attempt to Formalize the Formulation of the Network Architecture Search Problem for Convolutional Neural Networks
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    Chapter 56 Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy
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    Chapter 57 On the Similarities Between Denoising Diffusion Models and Autoencoders