Textbook in PDF format

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 XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia. Front Matter Theory of Neural Networks Research on Hierarchical Reservoir Neural Network The More Polypersonal the Better - A Short Look on Space Geometry of Fine-Tuned Layers Constructive Learning of Parameterized Boolean-networks Neurocomputers, Neuromorphic Computing and Impulse Neural Networks Resistor-Capacitor Elements for Neural Calculations The Hardware Implementation of the Compartmental Spiking Neuron Model (CSNM) Based on Single Supply Operational Amplifiers Solving TSP Problem with Spiking Neural Network On Solving Classification Tasks Using Spiking Neural Network with Memristive Plasticity and Correlation-Based Learning A Cycle with a “Short” Period in the Phenomenological Model of a Single Neuron Spiking Neural Network with Quantized Weights for Audio Stream Classification Deep Learning Front Matter Study of Foundation Models Knowledge Representations: Geometry Perspective Machine Learning to Detect the Presence of Heart Disease on the PTB-XL Dataset Domain Adaptation for Object Detection via Adversarial Attack Augmentation Modified Attention Block for Detecting Cars at a Great Distance DASR: Denoising for Automatic Speech Recognition in Noisy Environments Wasserstein GAN-Based Adapter for Deep Neural Networks Merging Sparse Ultrametric Solutions via Replica Symmetry Breaking for Adversarial Defense Reinforcement Learning in Neuroscience and Artificial Intelligence Front Matter Dynamical Distance Adaptation in Goal-Conditioned Model-Based Reinforcement Learning Exploring Ensemble Error Exploration for Unsupervised Reinforcement Learning Modern Methods and Technologies in Neurobiology Front Matter One-Stage and Two-Stage Word Recognition Processes, Revealed by Multichannel MEG Measurements Hemodynamic Changes in the Frontotemporal Region at Rest After Radiotherapy Brain Networks that Experience Virtual Nature: Cognitive Pre-tuning Due to Emotional Intelligence A Model of Travelling Waves in the Neural Medium with Directional Variability of Inhibitory Effects The Place of the Hypothalamus Among the Brain Structures that Control Behavior Computational Research on the Principles and Mechanisms of Natural Neural Systems Front Matter Use of High-Frequency Signals to Generate a Conductivity Matrix The Search for a System Mathematical Model of the Glutamate Tripartite Synapse Functional Properties of Possible Symmetric Rectifying Electrical Synapses between Neurons Brain-Computer Interface Neurotechnology Front Matter EEG Inner Speech Classification Using Machine Learning Cascade Model Detection of Spatial-Frequency Localization of Inner Speech EEG-Patterns Fast Parametric Curve Matching (FPCM) Filters for Deep Learning-Based Automatic Spike Detection Neuronal Activity Stimulation in Mouse Hippocampal Slice for Memory Restoration Using LSTM-Predicted Signal Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Modeling Front Matter Diagnosis of Cognitive Distortions in Public, Group, and Personal Text Communications Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Modeling Model of Collective Interaction in Competing Groups of Autonomous Agents Direct and Inverse Problems of Time Encoding by Neuron-Like Agents Decoding Neural Activity of the Simplest Heterogeneous Neural Networks Automatic Music Generation Using a Library of Music Fragments Neurosemantics in Functional Systems of the Brain Applied Neural Network Systems Front Matter Optimisation of Lung Disease Detection Algorithm Based on Yolo V8 Comparison of Neural Network Approaches for Parsing Texts of Robot Control Commands in Natural Language A Transformer with a Fuzzy Attention Mechanism for Weather Time Series Forecasting Continuous Token Partitioning for Real-Time Multi-modal 3d Object Detection As AI Like It: Neural Network Models for Recognizing Website Aesthetics Mortality Prediction in Patients with Coronary Bifurcation Lesions by Machine Learning Methods and KAN Models Analysis of Epicardial Bioelectric Activity by Multielectrode Mapping and Artificial Intelligence Methods Comparison of Neural Network Models and Models Based on Analytical Modification of Numerical Methods Using the Example of Nonlinear Bending Analysis of Cantilever Beam with Experimental Data Synth-ruSC: Construction and Validation of Synthetic Dataset to Solve the Problem of Keyword Spotting in Russian Application of Multilayer Neural Network Methods for Modelling Individual Sections of a Drawbridge Dynamic Processing of Gas Sensor Data Using Machine Learning Methods Metagraph Embedding Approach Based on Red-Blue Graphs Using Metagraph Approach for Building an Architecture of the Terminology Integration System Back Matter