Cover Image

Language Reconstruction with Brain Predictive Coding from fMRI Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Congchi, Ye, Ziyi, Li, Piji
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information
by: Xia, Runze, et al.
Published: (2024)

Improve Language Model and Brain Alignment via Associative Memory
by: Yin, Congchi, et al.
Published: (2025)

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding
by: Wei, Yuxiang, et al.
Published: (2025)

MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
by: Yin, Congchi, et al.
Published: (2024)

Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding
by: Yin, Congchi, et al.
Published: (2023)

Decoding fMRI Data into Captions using Prefix Language Modeling
by: Shen, Vyacheslav, et al.
Published: (2025)

Scaling laws for language encoding models in fMRI
by: Antonello, Richard, et al.
Published: (2023)

Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging
by: Xia, Runze, et al.
Published: (2025)

Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models
by: Cheng, Emily, et al.
Published: (2024)

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

BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained Models
by: Huang, Wanaiu
Published: (2024)

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

Characteristic AI Agents via Large Language Models
by: Wang, Xi, et al.
Published: (2024)

fMRI2GES: Co-speech Gesture Reconstruction from fMRI Signal with Dual Brain Decoding Alignment
by: Zhu, Chunzheng, et al.
Published: (2025)

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

MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding
by: Han, Inhwa, et al.
Published: (2024)

FreqSelect: Frequency-Aware fMRI-to-Image Reconstruction
by: Ye, Junliang, et al.
Published: (2025)

An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
by: Wang, Xi, et al.
Published: (2024)

MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities
by: Zhao, Xinpei, et al.
Published: (2024)

BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
by: Gao, Yunlong, et al.
Published: (2026)

NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
by: Li, Haoyu, et al.
Published: (2024)

Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI
by: Huang, Zheng, et al.
Published: (2025)

VIBE: Video-Input Brain Encoder for fMRI Response Modeling
by: Schad, Daniel Carlström, et al.
Published: (2025)

Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
by: Zhang, Xu, et al.
Published: (2025)

Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction
by: Yin, Congchi, et al.
Published: (2025)

Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction
by: Wang, Haonan, et al.
Published: (2025)

Synthetic Data Generation for Phrase Break Prediction with Large Language Model
by: Lee, Hoyeon, et al.
Published: (2025)

Query Augmentation by Decoding Semantics from Brain Signals
by: Ye, Ziyi, et al.
Published: (2024)

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
by: Zhang, Xinlu, et al.
Published: (2024)

Brain-CLIPLM: Decoding Compressed Semantic Representations in EEG for Language Reconstruction
by: Yang, Xiaoli, et al.
Published: (2026)

From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure
by: Yu, Sijin, et al.
Published: (2025)

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning
by: Yin, Shuo, et al.
Published: (2024)

Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
by: Doodipala, Ruthwik Reddy, et al.
Published: (2025)

Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly
by: Lin, Yi-Chien, et al.
Published: (2025)

Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
by: Li, Ye, et al.
Published: (2026)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
by: Huang, Yiming, et al.
Published: (2024)

Learning to Detect Language Model Training Data via Active Reconstruction
by: Yin, Junjie Oscar, et al.
Published: (2026)

Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
by: Vidya, Suryansh, et al.
Published: (2024)

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
by: Ye, Yuanchang, et al.
Published: (2025)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
by: Gong, Zixuan, et al.
Published: (2024)