Buch, Englisch, 246 Seiten, Format (B × H): 155 mm x 235 mm
35th International Joint Conference on Artificial Intelligence, IJCAI 2026, Bremen, Germany, August 17, 2026, Proceedings
Buch, Englisch, 246 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-981-9272-82-2
Verlag: Springer
This book constitutes the proceedings of the 35th International Joint Conference on Artificial Intelligence, IJCAI 2026, held in Bremen, Germany, during August 17, 2026.
The 14 full papers and 1 short paper included in this book were carefully reviewed and selected from 19 submissions. The accepted papers covered a broad range of topics, including AI for Brain Science, Brain-Inspired AI, Brain–Computer Interfaces, computational neuro science, neural decoding, neuroimaging analysis, neuromorphic computing, and related research directions.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
NeuroAI Biologically Plausible Intelligence.-
Concept Neurons and Coalitions in Continuous Thought Machines: A Study of Maze Geometry.- Spike-Emergent Field Coupling Drives Generative Dynamics in Spiking Neural Networks.- Endowing Artificial Neural Networks with Brain-Like Representations and Systematic Generalization through Brain-Inspired Meta-Learning.- Fast Surrogate Modeling of Excitable and Oscillatory FitzHugh-Nagumo Dynamics with Parametric Neural Operators.- ReflexVector: An Auditable Fast-Layer Contract for Brain-Inspired Embodied Control.- Beyond Hallucination: Temporal Knowledge Asymmetry as a Distinct Failure Mode in Large Language Models for Non-Western Knowledge
Domains.-
AI for Brain Science Decoding.-
Partially Shared Relational Phoneme Geometry Supports Cross-Brain Intracranial Speech Decoding with Brief Calibration.- Can Yesterday’s State Spare the Decoder from Recalibration? DriftGate for Minimal Calibration in Brain-to-Text BCI.- Teaching Neural Decoder-Architectures For Speech Recognition the Language of the Brain.- Cross-Patient Adaptation of a Frozen Brain-to-Text BCI Decoder with Cued-Text Supervision.- Sampling-Based Network Science Analysis of Functional Connectivity Graphs in Artificial Neural Networks and Brain Recordings.- Exploring Machine Learning Paradigms for Emotion Classification with fNIRS Signals.- Ordinal Classification-Guided Learning for Continuous Motor Decoding for High-Performance BCIs.- Quantum-Inspired Hybrid Neural Networks for Neural Decoding: A Controlled Ablation Study of Learnable Quantum Sidecar Integration.- Lost in Visual Translation: A VLM-Assisted Perceptual-Semantic Coherence Framework for EEG-to-Image Reconstruction.
