Limit search to available items
Book Cover
E-book
Author International Conference on Neuroinformatics (22nd : 2020 : Moscow, Russia)

Title 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 / Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, editors
Published Cham : Springer, 2021
©2021

Copies

Description 1 online resource (xvi, 441 pages)
Series Studies in computational intelligence ; v. 925
Studies in computational intelligence ; v. 925.
Contents Part I. Invited Papers -- Reverse Engineering the Brain Based on Machine Learning -- Who Says Formalized Models are Appropriate for Describing Living Systems? -- Part II. Cognitive Sciences and Brain-Computer Interface -- Mirror Neurons in the Interpretation of Action and Intentions -- Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition -- Assessment of Cortical Travelling Waves Parameters Using Radially Symmetric Solutions to Neural Field Equations with Microstructure -- A Rehabilitation Device for Paralyzed Disabled People Based on an Eye Tracker and fNIRS -- Analytic Model of Mental Rotation -- Topology of the Thesaurus of Russian Adjectives Revealed by Measurements of the Spoken Word Recognition Time -- Part III. Adaptive Behavior and Evolutionary Simulation -- Model of Self-organizing System of Autonomous Agents -- Role of Resource Production in Community of People and Robots -- Modeling of Interaction Between Learning and Evolution at Minimizing of Spin-Glass Energy -- Symmetry Learning Using Non-traditional Biologically Plausible -- Providing Situational Awareness in the Control of Unmanned Vehicles -- Neurobiology and Neurobionics Complexity of Continuous Functions and Novel Technologies for Classification of Multi-channel EEG Records -- Towards Neuroinformatic Approach for Second-Person Neuroscience -- Is the Reinforcement Learning Theory Well Suited to Fit the Functioning of the Cerebral Cortex-Basal Ganglia System? -- 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 -- Applications of Neural Networks Deep Neural Networks for Ortophoto-Based Vehicle Localization -- Roof Defect Segmentation on Aerial Images Using Neural Networks -- Choice of Hyperparameter Values for Convolutional Neural Networks Based on the Analysis of Intra-network Processes -- Generation an Annotated Dataset of Human Poses for Deep Learning Networks Based on Motion Tracking System -- Automatic Segmentation of Acute Stroke Lesions Using Convolutional Neural Networks and Histograms of Oriented Gradients -- Learning Embodied Agents with Policy Gradients to Navigate in Realistic Environments -- Comparative Efficiency of Prediction of Relativistic Electron Flux in the Near-Earth Space Using Various Machine Learning Methods -- Metal Oxide Gas Sensors Response Processing by Statistical Shape Analysis and Machine Learning Algorithm for Industrial Safety Applications -- Feature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods -- The Text Fragment Extraction Module of the Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts -- Construction of a Neural Network Semi-empirical Model of Deflection of a Sample from a Composite Material -- Combined Neural Network for Assessing the State of Computer Network Elements -- Operational Visual Control of the Presence of Students in Training Sessions -- Classification of Microscopy Image Stained by Ziehl-Neelsen Method Using Different Architectures of Convolutional Neural Network -- Using a Sparse Neural Network to Predict Clicks probabilities in Online Advertising -- Error Analysis for Visual Question Answering -- Super Intelligence to Solve COVID-19 Problem -- Neural Network Theory, Concepts and Architectures Time Series Prediction by Reservoir Neural Networks -- Monitoring Human Cognitive Activity Through Biomedical Signal Analysis -- Adversarial Dataset Augmentation Using Reinforcement Learning and 3D Modeling -- Data Representation in All-Resistor Systems -- The Neuromorphic Model of the Human Visual System -- Ring of Unidirectionally Synaptically Coupled Neurons with a Relay Nonlinearity -- Find a Needle in a Haystack -- Sorting arXiv Articles by Your Criteria -- Quantization of Weights of Trained Neural Network by Correlation Maximization Method -- Solar Plant Intelligent Control System Under Uniform and Non-uniform Insolation -- Hopfield Neural Network and Anisotropic Ising Model -- Development of the Learning Logic Gate for Optimization of Neural Networks at the Hardware Level -- Approximating Conductance-Based Synapses by Current-Based Synapses -- STDP-Based Classificational Spiking Neural Networks Combining Rate and Temporal Coding -- Solving Equations Describing Processes in a Piecewise Homogeneous Medium on Radial Basis Functions Networks -- Decoding Neural Signals with a Compact and Interpretable Convolutional Neural Network -- Estimation of the Complexity of the Classification Task Based on the Analysis of Variational Autoencoders
Summary This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia
Notes Includes author index
Print version record
Online resource; title from PDF title page (SpringerLink, viewed December 3, 2020)
Subject Neural networks (Computer science) -- Congresses
Neural networks (Computer science)
Genre/Form Conference papers and proceedings
Form Electronic book
Author Kryzhanovsky, Boris
Dunin-Barkowski, Witali
Redko, Vladimir
Tiumentsev, Yury
ISBN 9783030605773
3030605779
Other Titles Advances in neural computation, machine learning, and cognitive research 4