Cover Image

EmoMind: Decoding Affective Captions from Human Brain fMRI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohammed, Bilal A., Gu, Lin, Fang, Ruogo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding
by: Qiu, Weikang, et al.
Published: (2025)

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
by: Guo, Hanning, et al.
Published: (2026)

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

Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants
by: Jalouzot, Louis, et al.
Published: (2025)

Comparing and Scaling fMRI Features for Brain-Behavior Prediction
by: Sieler, Mikkel Schöttner, et al.
Published: (2025)

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

fMRI predictors based on language models of increasing complexity recover brain left lateralization
by: Bonnasse-Gahot, Laurent, et al.
Published: (2024)

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

Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
by: Ahmadi, Sana, et al.
Published: (2024)

Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding
by: Li, Jiahe, et al.
Published: (2026)

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
by: Qu, Gang, et al.
Published: (2024)

Brain-MGF: Multimodal Graph Fusion Network for EEG-fMRI Brain Connectivity Analysis Under Psilocybin
by: Yap, Sin-Yee, et al.
Published: (2025)

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
by: Dong, Zijian, et al.
Published: (2024)

Data Integration with Fusion Searchlight: Classifying Brain States from Resting-state fMRI
by: Wein, Simon, et al.
Published: (2024)

Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI
by: Caselles-Dupré, Hugo, et al.
Published: (2024)

Interpretable Fusion Analytics Framework for fMRI Connectivity: Self-Attention Mechanism and Latent Space Item-Response Model
by: Kim, Jeong-Jae, et al.
Published: (2022)

BrainCognizer: Brain Decoding with Human Visual Cognition Simulation for fMRI-to-Image Reconstruction
by: Sun, Guoying, et al.
Published: (2025)

Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders
by: Hu, Jinlong, et al.
Published: (2026)

Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications
by: Bae, Sangyoon, et al.
Published: (2025)

Predicting Human Brain States with Transformer
by: Sun, Yifei, et al.
Published: (2024)

Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals
by: Temtam, Ahmed, et al.
Published: (2024)

BrainCodec: Neural fMRI codec for the decoding of cognitive brain states
by: Nishimura, Yuto, et al.
Published: (2024)

Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction
by: Qu, Youzhi, et al.
Published: (2024)

Human-inspired Episodic Memory for Infinite Context LLMs
by: Fountas, Zafeirios, et al.
Published: (2024)

Ensemble-based graph representation of fMRI data for cognitive brain state classification
by: Vlasenko, Daniil, et al.
Published: (2025)

NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text
by: Yang, Yanting, et al.
Published: (2025)

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

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
by: Zhang, Qingzhu, et al.
Published: (2025)

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
by: Dahan, Simon, et al.
Published: (2025)

VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI
by: Lamprou, Charalampos, et al.
Published: (2025)

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

Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model
by: Jin, Beige Jerry, et al.
Published: (2025)

Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer
by: Beliy, Roman, et al.
Published: (2025)

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

Neuro-Symbolic Decoding of Neural Activity
by: Wang, Yanchen, et al.
Published: (2026)

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

One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
by: Tang, Changli, et al.
Published: (2026)

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

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

EEG-to-fMRI synthesis of task-evoked and spontaneous brain activity: addressing issues of statistical significance and generalizability
by: Mehta, Neil, et al.
Published: (2025)