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

Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia
Herausgegeben:Kryzhanovsky, Boris; Dunin-Barkowski, Witali; Redko, Vladimir; Tiumentsev, Yury; Klimov, Valentin

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 1120
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-44864-5
• 1st ed. 2023
• Seitenzahl: 520
• Erscheinungstermin: 12. Oktober 2023
• Englisch
• Abmessung: 241mm x 160mm x 34mm
• Gewicht: 939g
• ISBN-13: 9783031448645
• ISBN-10: 3031448642
• Artikelnr.: 68693758

Inhaltsangabe

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.