#Neuroscience
Latest news articles tagged with "Neuroscience". Follow the timeline of events, related topics, and entities.
Articles (10)
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🇺🇸 Autoregressive Visual Decoding from EEG Signals
[USA]
arXiv:2602.22555v1 Announce Type: cross Abstract: Electroencephalogram (EEG) signals have become a popular medium for decoding visual information due to their cost-effectiveness and high temporal res...
Related: #Machine Learning, #Brain-Computer Interface, #Computer Vision -
🇺🇸 ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks
[USA]
arXiv:2602.23285v1 Announce Type: new Abstract: Modeling neural population dynamics is crucial for foundational neuroscientific research and various clinical applications. Conventional latent variabl...
Related: #Artificial Intelligence, #Medical Technology -
🇺🇸 MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis
[USA]
arXiv:2602.15740v1 Announce Type: cross Abstract: Alzheimer's disease (AD) is a progressive neurodegenerative condition necessitating early and precise diagnosis to provide prompt clinical management...
Related: #Artificial Intelligence, #Graph Neural Networks, #Explainable AI, #Multimodal Data Integration -
🇺🇸 A consequence of failed sequential learning: A computational account of developmental amnesia
[USA]
arXiv:2602.12547v1 Announce Type: cross Abstract: Developmental amnesia, featured with severely impaired episodic memory and almost normal semantic memory, has been discovered to occur in children wi...
Related: #Memory Disorders, #Computational Modeling -
🇺🇸 Left-right asymmetry in predicting brain activity from LLMs' representations emerges with their formal linguistic competence
[USA]
arXiv:2602.12811v1 Announce Type: cross Abstract: When humans and large language models (LLMs) process the same text, activations in the LLMs correlate with brain activity measured, e.g., with functi...
Related: #Artificial Intelligence, #Language Processing -
🇺🇸 Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons
[USA]
arXiv:2512.15891v4 Announce Type: replace-cross Abstract: In the last century, most sensorimotor studies of cortical neurons relied on average firing rates. Rate coding is efficient for fast sensorim...
Related: #Memory mechanisms, #Cognitive processing -
🇺🇸 Adaptive Temporal Dynamics for Personalized Emotion Recognition: A Liquid Neural Network Approach
[USA]
arXiv:2602.06997v1 Announce Type: cross Abstract: Emotion recognition from physiological signals remains challenging due to their non-stationary, noisy, and subject-dependent characteristics. This wo...
Related: #Artificial Intelligence, #Affective Computing -
🇺🇸 SurfAge-Net: A Hierarchical Surface-Based Network for Interpretable Fine-Grained Brain Age Prediction
[USA]
arXiv:2602.06994v1 Announce Type: cross Abstract: Brain age prediction serves as a powerful framework for assessing brain status and detecting deviations associated with neurodevelopmental and neurod...
Related: #Artificial Intelligence, #Medical Technology -
🇺🇸 Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
[USA]
arXiv:2602.07010v1 Announce Type: cross Abstract: As the prevalence of Alzheimer's disease (AD) rises, improving mechanistic insight from non-invasive biomarkers is increasingly critical. Recent work...
Related: #Artificial Intelligence, #Healthcare -
🇺🇸 EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
[USA]
arXiv:2405.00734v3 Announce Type: replace-cross Abstract: Cross-center data heterogeneity and annotation unreliability significantly challenge the intelligent diagnosis of diseases using brain signal...
Related: #Artificial Intelligence, #Medical Technology