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 Nature Singapore
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.
