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

ISBN-13: 9783031190346 / Angielski / Miękka / 2023

Opis

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.

Spis treści

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 and Using 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 on the 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 Networks for 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.