Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev.

Format:

Book

Contributor:

Kryzhanovsky, Boris, editor.

Series:

Studies in Computational Intelligence, 1860-9503 ; 1064

Language:

English

Subjects (All):

Computational intelligence.

Machine learning.

Computational neuroscience.

Computational Intelligence.

Machine Learning.

Computational Neuroscience.

Local Subjects:

Computational Intelligence.

Machine Learning.

Computational Neuroscience.

Physical Description:

1 online resource (585 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

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 XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.

Contents:

Part I: Neuroinformatics and Artificial Intelligence

Tree Inventory with LiDAR Data

Towards Reliable Solar Atmospheric Parameters Neural-Based Inference

Addressing Task Prioritization in Model-based Reinforcement Learning

Automatic Generation of Conversational Skills from Dialog Datasets

Part II: Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Simulation

Individual Topology Structure of Eye Movement Trajectories

Neural Network Providing the Involvement of Voluntary Attention into the Processing and Conscious Perception of Sensory Information

Alpha Rhythm Dynamics During Spoken Word Recognition

Robotic Devices Control Based on Neuromorphic Classifiers of Imaginary Motor Commands

A Software System for Training Motor Imagery in Virtual Reality

On the Importance of Diversity

“MYO-chat” – A New Computer Control System for People with Disabilities

Low-bit Quantization of Transformer for Audio Speech Recognition

A Model of Predicting andUsing Regularities by an Autonomous Agent

A Review of One-Shot Neural Architecture Search Methods

Does a Recurrent Neural Network Use Reflection During a Reflexive Game?

A Gender Genetic Algorithm and its Comparison with Conventional Genetic Algorithm

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

Part III: Modern Methods and Technologies in Neurobiology

Dynamics of Background and Evoked Activity of Neurons in the Auditory Cortex of the Unanaesthetized Cat

Search for Markers of Moderate Cognitive Disorders through Phase Synchronization between Rhythmic Photostimulus and EEG Pattern

Astrocytes Enhance Image Representation Encoded in Spiking Neural Network

Classification of Neuron Type Based on Average Activity

Comparative Analysis of Statistical and Neural Network Classification Methods onthe Example of Synthesized Data in the Stimulus-Independent Brain-Computer Interface Paradigm

Shunting Effect of Synaptic Channels Located on Presynaptic Terminal

Analysis of Appearances, Formation and Evolution of Biological Functional Systems

The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex

To the Role of Inferior Olives in Cerebellar Neuromechanics

Individual Differences in Mismatch-Induced c-Fos Expression in the Retrosplenial Cortex in Rats: Shift in Activity is Layer-Specific

Sleep of Poor and Good Nappers under the Afternoon Exposure to Weak 2-Hz/8-Hz Electromagnetic Fields

Part IV: Applications of Neural Networks

Classification of Light Microscopy Image Using Probabilistic Bayesian Neural Network

SPICE Model of Analog Content-Addressable Memory Based on 2G FeFET Crossbar

IQ-GAN: Instance Quantized Image Synthesis

Specifics of Crossbar Resistor Arrays

Recurrent and Graph Neural Networksfor Particle Tracking at the BM@N Experiment

Modeling of a Neural Network Algorithm for Suppressing Non-Stationary Interference in an Adaptive Antenna Array

Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning

Center3dAugNet: Effect of Rotation Representation on One-Stage Joint Car Detection and 6D-Pose Estimation

Global memory transformer for processing long documents

Development of the Convolutional Neural Network for Defining the Renal Pathology Using Computed Tomography Images

Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm

DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English

Multi-Input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks

Integration of Data and Algorithms in Solving Inverse Problems of Spectroscopy of Solutions by Machine Learning Methods

Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data?

Multitask learning for extensive object description to improve scene understanding on monocular video

Use of Classification Algorithms to Predict the Grade of Geomagnetic Disturbance

Information processing in spiking neuron-astrocyte network in ageing

Multilingual Case-insensitive Named Entity Recognition

Multi-level Pipeline for Data Mining with Similar Structure

Creating a Brief Review of Judicial Practice Using Clustering Methods

Part V: Neural Network Theory, Concepts and Architectures

"Gas” instead of “Liquid”: which Liquid State Machine is Better?

Using a Resistor Array to Tackle Optimization Problems

Generative Adversarial Networks as an Approach to Unsupervised Link Prediction Problem

DGAC: Dialog Graph AutoConstruction up on Data with a Regular Structure

Relay System of Differential Equations with Delay as a Perceptron Model

Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator?

An Attempt to Formalize the Formulation of the Network Architecture Search Problem for Convolutional Neural Networks

Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy

On the Similarities between Denoising Diffusion Models and Autoencoders.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Kryzhanovsky, Boris Advances in Neural Computation, Machine Learning, and Cognitive Research VI

ISBN:

3-031-19032-7