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

TRAMA

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.

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783031448645
• Collana: Studies in Computational Intelligence
• Dimensioni: 235 x 155 mm
• Formato: Copertina rigida
• Illustration Notes: XVI, 501 p. 166 illus., 96 illus. in color.
• Pagine Arabe: 501
• Pagine Romane: xvi