Copertina

Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Noguchi, Shogo, Akama, Taketo, Nakamura, Tai, Minamikawa, Shun, Polouliakh, Natalia
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings
di: Akama, Taketo, et al.
Pubblicazione: (2024)

SSDLabeler: Realistic semi-synthetic data generation for multi-label artifact classification in EEG
di: Akama, Taketo, et al.
Pubblicazione: (2025)

Decoding Selective Auditory Attention to Musical Elements in Ecologically Valid Music Listening
di: Akama, Taketo, et al.
Pubblicazione: (2025)

Towards Unified Neural Decoding with Brain Functional Network Modeling
di: Wu, Di, et al.
Pubblicazione: (2025)

BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
di: Oganesian, Lucine L., et al.
Pubblicazione: (2025)

A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
di: Zheng, Shengjie, et al.
Pubblicazione: (2022)

The brain versus AI: World-model-based versatile circuit computation underlying diverse functions in the neocortex and cerebellum
di: Ohmae, Shogo, et al.
Pubblicazione: (2024)

Scale-Invariance Drives Convergence in AI and Brain Representations
di: Yu, Junjie, et al.
Pubblicazione: (2025)

Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations
di: Claflin, Omar
Pubblicazione: (2025)

Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity
di: Tilwani, Deepa, et al.
Pubblicazione: (2024)

D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
di: Hu, Haoyu, et al.
Pubblicazione: (2024)

Discovering Mechanistic Models of Neural Activity: System Identification in an in Silico Zebrafish
di: Lueckmann, Jan-Matthis, et al.
Pubblicazione: (2026)

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
di: Xu, Jiaxing, et al.
Pubblicazione: (2024)

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
di: Kang, Yanqing, et al.
Pubblicazione: (2024)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
di: Noman, Fuad, et al.
Pubblicazione: (2021)

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
di: Willeke, Konstantin F., et al.
Pubblicazione: (2026)

Association of Timing and Duration of Moderate-to-Vigorous Physical Activity with Cognitive Function and Brain Aging: A Population-Based Study Using the UK Biobank
di: Khan, Wasif, et al.
Pubblicazione: (2025)

The DIME Architecture: A Unified Operational Algorithm for Neural Representation, Dynamics, Control and Integration
di: Vladu, Ionel Cristian, et al.
Pubblicazione: (2026)

Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
di: Schmidt, Finn, et al.
Pubblicazione: (2024)

R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity
di: Ferrante, Matteo, et al.
Pubblicazione: (2024)

AI-Enhanced High-Density NIRS Patch for Real-Time Brain Layer Oxygenation Monitoring in Neurological Emergencies
di: Ji, Minsu, et al.
Pubblicazione: (2025)

Unveiling Secrets of Brain Function With Generative Modeling: Motion Perception in Primates & Cortical Network Organization in Mice
di: Vafaii, Hadi
Pubblicazione: (2024)

Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation
di: Acharya, Sayantan, et al.
Pubblicazione: (2025)

BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction
di: Yin, Xuanhua, et al.
Pubblicazione: (2026)

RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
di: Cheng, Yu-Ang, et al.
Pubblicazione: (2024)

Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
di: Pichat, Michael
Pubblicazione: (2024)

Allostatic Control of Persistent States in Spiking Neural Networks for perception and computation
di: Htet, Aung, et al.
Pubblicazione: (2025)

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
di: Campbell, Declan, et al.
Pubblicazione: (2024)

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
di: Kuo, Po-Chen, et al.
Pubblicazione: (2025)

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
di: He, Zhonghao, et al.
Pubblicazione: (2024)

Brain-inspired and Self-based Artificial Intelligence
di: Zeng, Yi, et al.
Pubblicazione: (2024)

BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification
di: Zhang, Jing, et al.
Pubblicazione: (2025)

BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction
di: Shen, Xiongri, et al.
Pubblicazione: (2025)

From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios
di: Zhige, Chen, et al.
Pubblicazione: (2024)

BAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex
di: Wang, Haidong, et al.
Pubblicazione: (2025)

How Much is Brain Data Worth for Machine Learning?
di: Lewis, Lane, et al.
Pubblicazione: (2026)

Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images
di: Raugel, Joséphine, et al.
Pubblicazione: (2026)

Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
di: Vasilache, Alexandru, et al.
Pubblicazione: (2024)

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
di: Thapaliya, Bishal, et al.
Pubblicazione: (2023)

Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
di: Lu, Qihong, et al.
Pubblicazione: (2023)