Cover Image

Investigating the Timescales of Language Processing with EEG and Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Turco, Davide, Houghton, Conor
Format:	Preprint
Published:	2024
Subjects:	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

Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text
by: Luo, Xiaoliang, et al.
Published: (2024)

Decoding Predictive Inference in Visual Language Processing via Spatiotemporal Neural Coherence
by: Borneman, Sean C., et al.
Published: (2025)

Large Language Model-based FMRI Encoding of Language Functions for Subjects with Neurocognitive Disorder
by: Wang, Yuejiao, et al.
Published: (2024)

Energy budgets govern synaptic precision and its regulation during plasticity
by: Malkin, James, et al.
Published: (2026)

The Prompting Brain: Neurocognitive Markers of Expertise in Guiding Large Language Models
by: Al-Khalifa, Hend, et al.
Published: (2025)

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding
by: Chen, Zexuan, et al.
Published: (2026)

Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology
by: Hu, Jucheng, et al.
Published: (2026)

Training-Driven Representational Geometry Modularization Predicts Brain Alignment in Language Models
by: Liu, Yixuan, et al.
Published: (2026)

Mind the Gap: Aligning the Brain with Language Models Requires a Nonlinear and Multimodal Approach
by: Han, Danny Dongyeop, et al.
Published: (2025)

Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs
by: He, Linyang, et al.
Published: (2024)

Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
by: Zhang, Yuhong, et al.
Published: (2025)

The Application of Large Language Models on Major Depressive Disorder Support Based on African Natural Products
by: Zou, Linyan
Published: (2025)

Do Large Language Models Think Like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI
by: Lei, Yu, et al.
Published: (2025)

Signatures of Bayesian inference emerge from energy efficient synapses
by: Malkin, James, et al.
Published: (2023)

Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding
by: Harnad, Stevan
Published: (2024)

Motion Capture Analysis of Verb and Adjective Types in Austrian Sign Language
by: Krebs, Julia, et al.
Published: (2024)

Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language
by: Immertreu, Mathis, et al.
Published: (2026)

Language models and brains align due to more than next-word prediction and word-level information
by: Merlin, Gabriele, et al.
Published: (2022)

Explanations of Large Language Models Explain Language Representations in the Brain
by: Rahimi, Maryam, et al.
Published: (2025)

When a Man Says He Is Pregnant: Event-related Potential Evidence for a Rational Account of Speaker-contextualized Language Comprehension
by: Wu, Hanlin, et al.
Published: (2024)

Memory, Consciousness and Large Language Model
by: Li, Jitang, et al.
Published: (2024)

EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG
by: Lu, Jacky Tai-Yu, et al.
Published: (2025)

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
by: Ji-An, Li, et al.
Published: (2025)

Coherence in the brain unfolds across separable temporal regimes
by: Staub, Davide, et al.
Published: (2025)

Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation
by: Liu, Xin, et al.
Published: (2025)

Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
by: Mischler, Gavin, et al.
Published: (2024)

Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
by: Liu, Ryan, et al.
Published: (2026)

Large Language Models Align with the Human Brain during Creative Thinking
by: Ismayilzada, Mete, et al.
Published: (2026)

Characterising the Creative Process in Humans and Large Language Models
by: Nath, Surabhi S., et al.
Published: (2024)

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
by: Kumar, Sreejan, et al.
Published: (2024)

LITcoder: A General-Purpose Library for Building and Comparing Encoding Models
by: Binhuraib, Taha, et al.
Published: (2025)

A Unified Theory of Language
by: Worden, Robert
Published: (2025)

LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models
by: Gao, Xiaohui, et al.
Published: (2024)

Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension
by: Hari, Kamya, et al.
Published: (2026)

A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
by: Harrison, Rachel M.
Published: (2024)

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
by: Pinier, Christopher, et al.
Published: (2025)

Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology
by: Beauté, Romy, et al.
Published: (2025)

sEEG-based Encoding for Sentence Retrieval: A Contrastive Learning Approach to Brain-Language Alignment
by: Liu, Yijun
Published: (2025)

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

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
by: Li, Kangcong, et al.
Published: (2025)