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.
Inhaltsverzeichnis
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.
