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Advances in Neural Computation, Machine Learning, and Cognitive Research VII de Boris Kryzhanovsky

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

Editat de Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin Klimov
en Limba Engleză Hardback – 12 oct 2023
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 XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.
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Specificații

ISBN-13: 9783031448645
ISBN-10: 3031448642
Pagini: 520
Ilustrații: XVI, 501 p. 166 illus., 96 illus. in color.
Dimensiuni: 160 x 241 x 34 mm
Greutate: 0.94 kg
Ediția:1st ed. 2023
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Evolution of Efficient Symbolic Communication Codes.- Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning.- Zero-Shot NER via Extractive Question Answering.- TreeCurveNet – An Improved CurveNet for Tree Species Classification.- Dialogue Graphs: Enhancing Response Selection through Target Node Separation.- Research Methods for Fake News Detection in Bangla Text.- On the Question of the Dynamic Theory of Intelligence.- Offline Deep Reinforcement Learning for Robotic Arm Control in the ManiSkill Environment.- A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces.- SNAC Approach to Aircraft Motion Control.- Russian Language Speech Generation from Facial Video Recordings Using Variational Autoencoder.

Textul de pe ultima copertă

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 XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.

Caracteristici

Reports on advanced theories and applications of artificial neural networks Focuses on problems in neuroscience, systems biophysics, cognitive research, and adaptive control Merges topics in neurobiology, machine learning, and evolutionary programming