Advances in Neural Computation, Machine Learning, and Cognitive Research VII
Springer International Publishing (Verlag)
978-3-031-44864-5 (ISBN)
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.
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.
| Erscheinungsdatum | 13.10.2023 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | XVI, 501 p. 166 illus., 96 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 939 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Naturwissenschaften ► Biologie ► Humanbiologie | |
| Technik | |
| Schlagworte | Convolutional Neural Network Architectures • Deep learning models • EEG Pattern Analysis • Image Segmentation with Machine Learning • Modeling Neural Activity • Neural Network Control Systems • Neural Networks Applications in Bioimaging • Neurocognitive Processing • Neuroinformatics 2023 • neuromorphic systems • Recurrent Neural Networks • Reinforcement Learning Applications • Spiking Dynamical Systems |
| ISBN-10 | 3-031-44864-2 / 3031448642 |
| ISBN-13 | 978-3-031-44864-5 / 9783031448645 |
| Zustand | Neuware |
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