Cover Image

Predicting Human Brain States with Transformer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Yifei, Cabezas, Mariano, Lee, Jiah, Wang, Chenyu, Zhang, Wei, Calamante, Fernando, Lv, Jinglei
Format:	Preprint
Published:	2024
Subjects:	Neurons and Cognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Voxel-Level Brain States Prediction Using Swin Transformer
by: Sun, Yifei, et al.
Published: (2025)

A Data-Driven Method to Map the Functional Organisation of Human Brain White Matter
by: Sun, Yifei, et al.
Published: (2026)

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

Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation
by: Fountas, Zafeirios, et al.
Published: (2026)

Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)

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

A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data
by: Donoso, Maël
Published: (2026)

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

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping
by: Sun, Yifei, et al.
Published: (2025)

Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data
by: Zhou, Zixia, et al.
Published: (2025)

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

Brain-like Variational Inference
by: Vafaii, Hadi, et al.
Published: (2024)

Balanced Graph Structure Information for Brain Disease Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)

Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
by: Chen, Minheng, et al.
Published: (2026)

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
by: Thapaliya, Bishal, et al.
Published: (2024)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
by: Said, Anwar, et al.
Published: (2023)

Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
by: Wang, Yanwen, et al.
Published: (2025)

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

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
by: Ge, Qinwen, et al.
Published: (2025)

Divergences between Language Models and Human Brains
by: Zhou, Yuchen, et al.
Published: (2023)

Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
by: Latheef, Ammar Ahmed Pallikonda, et al.
Published: (2024)

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

Learning Human-Aligned Representations with Contrastive Learning and Generative Similarity
by: Marjieh, Raja, et al.
Published: (2024)

Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay
by: Oota, Subba Reddy, et al.
Published: (2026)

Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization
by: Dan, Tingting, et al.
Published: (2026)

Understanding Transformers through the Lens of Pavlovian Conditioning
by: Qiao, Mu
Published: (2025)

Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics
by: Keller, Reece, et al.
Published: (2025)

Can Brain Signals Reveal Inner Alignment with Human Languages?
by: Han, William, et al.
Published: (2022)

EmoMind: Decoding Affective Captions from Human Brain fMRI
by: Mohammed, Bilal A., et al.
Published: (2026)

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
by: Sennesh, Eli, et al.
Published: (2024)

Stimulus-Voltage-Based Prediction of Action Potential Onset Timing: Classical vs. Quantum-Inspired Approaches
by: Johnson, Stevens, et al.
Published: (2025)

From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
by: Serre, Thomas, et al.
Published: (2025)

Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series
by: Choi, Junggu, et al.
Published: (2024)

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
by: Chung, Trinity, et al.
Published: (2025)

Neural Encoding and Decoding at Scale
by: Zhang, Yizi, et al.
Published: (2025)

BrainWave: A Brain Signal Foundation Model for Clinical Applications
by: Yuan, Zhizhang, et al.
Published: (2024)

The Geometry of Concepts: Sparse Autoencoder Feature Structure
by: Li, Yuxiao, et al.
Published: (2024)

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

DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm
by: Wang, Jingyuan, et al.
Published: (2025)

Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
by: Kirova, Valeriya, et al.
Published: (2025)