Saved in:
| Main Authors: | Xiong, Hua-Dong, Ji-An, Li, Wilson, Robert C., Lee, Kwonjoon, Wei, Xue-Xin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.28854 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large language models are not about natural language
by: Bolhuis, Johan J., et al.
Published: (2025)
by: Bolhuis, Johan J., et al.
Published: (2025)
Vision-language models learn the geometry of human perceptual space
by: Sanders, Craig, et al.
Published: (2025)
by: Sanders, Craig, 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)
by: Ji-An, Li, et al.
Published: (2025)
Meta predictive learning model of languages in neural circuits
by: Li, Chan, et al.
Published: (2023)
by: Li, Chan, et al.
Published: (2023)
Speaker effects in language comprehension: An integrative model of language and speaker processing
by: Wu, Hanlin, et al.
Published: (2024)
by: Wu, Hanlin, et al.
Published: (2024)
Category learning in deep neural networks: Information content and geometry of internal representations
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
by: Jalali, Parnian, et al.
Published: (2023)
by: Jalali, Parnian, et al.
Published: (2023)
Linguistic properties and model scale in brain encoding: from small to compressed language models
by: Oota, Subba Reddy, et al.
Published: (2026)
by: Oota, Subba Reddy, et al.
Published: (2026)
Prediction horizon shapes representations in predictive learning
by: Ratzon, Aviv, et al.
Published: (2025)
by: Ratzon, Aviv, et al.
Published: (2025)
Hebbian learning the local structure of language
by: Eugenio, P. Myles
Published: (2025)
by: Eugenio, P. Myles
Published: (2025)
Generative causal testing to bridge data-driven models and scientific theories in language neuroscience
by: Antonello, Richard, et al.
Published: (2024)
by: Antonello, Richard, et al.
Published: (2024)
Integrating large language models and active inference to understand eye movements in reading and dyslexia
by: Donnarumma, Francesco, et al.
Published: (2023)
by: Donnarumma, Francesco, et al.
Published: (2023)
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
by: Wu, Hanlin, et al.
Published: (2025)
by: Wu, Hanlin, et al.
Published: (2025)
Emergence of psychopathological computations in large language models
by: Lee, Soo Yong, et al.
Published: (2025)
by: Lee, Soo Yong, et al.
Published: (2025)
Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay
by: Oota, Subba Reddy, et al.
Published: (2026)
by: Oota, Subba Reddy, et al.
Published: (2026)
Brain-to-Text Benchmark '24: Lessons Learned
by: Willett, Francis R., et al.
Published: (2024)
by: Willett, Francis R., et al.
Published: (2024)
Speech language models lack important brain-relevant semantics
by: Oota, Subba Reddy, et al.
Published: (2023)
by: Oota, Subba Reddy, et al.
Published: (2023)
Quantifying task-relevant representational similarity using decision variable correlation
by: Qian, Yu Eric, et al.
Published: (2025)
by: Qian, Yu Eric, et al.
Published: (2025)
Predictive and feedback signals differently shape the formation of group-level and individualized language representations
by: Yang, Shuguang, et al.
Published: (2026)
by: Yang, Shuguang, et al.
Published: (2026)
Visual representations in the human brain are aligned with large language models
by: Doerig, Adrien, et al.
Published: (2022)
by: Doerig, Adrien, et al.
Published: (2022)
Multifaceted neural representation of words in naturalistic language
by: Yang, Xuan, et al.
Published: (2026)
by: Yang, Xuan, et al.
Published: (2026)
Dissociating model architectures from inference computations
by: Sajid, Noor, et al.
Published: (2025)
by: Sajid, Noor, et al.
Published: (2025)
Large language models and the entropy of English
by: Scheibner, Colin, et al.
Published: (2025)
by: Scheibner, Colin, et al.
Published: (2025)
Relational reasoning and inductive bias in transformers and large language models
by: Geerts, Jesse, et al.
Published: (2025)
by: Geerts, Jesse, et al.
Published: (2025)
A foundation model of vision, audition, and language for in-silico neuroscience
by: d'Ascoli, Stéphane, et al.
Published: (2026)
by: d'Ascoli, Stéphane, et al.
Published: (2026)
Unsupervised learning of multiscale switching dynamical system models from multimodal neural data
by: Kim, DongKyu, et al.
Published: (2025)
by: Kim, DongKyu, et al.
Published: (2025)
Interpretable statistical representations of neural population dynamics and geometry
by: Gosztolai, Adam, et al.
Published: (2023)
by: Gosztolai, Adam, et al.
Published: (2023)
Toward the biological model of the hippocampus as the successor representation agent
by: Lee, Hyunsu
Published: (2020)
by: Lee, Hyunsu
Published: (2020)
The time course of visuo-semantic representations in the human brain is captured by combining vision and language models
by: Rong, Boyan, et al.
Published: (2025)
by: Rong, Boyan, et al.
Published: (2025)
Probabilistic adaptation of language comprehension for individual speakers: evidence from neural oscillations
by: Wu, Hanlin, et al.
Published: (2025)
by: Wu, Hanlin, et al.
Published: (2025)
Clarifying the conceptual dimensions of representation in neuroscience
by: Pohl, Stephan, et al.
Published: (2024)
by: Pohl, Stephan, et al.
Published: (2024)
Unsupervised discovery of the shared and private geometry in multi-view data
by: Koukuntla, Sai, et al.
Published: (2024)
by: Koukuntla, Sai, et al.
Published: (2024)
Representation biases: will we achieve complete understanding by analyzing representations?
by: Lampinen, Andrew Kyle, et al.
Published: (2025)
by: Lampinen, Andrew Kyle, et al.
Published: (2025)
Do self-supervised speech and language models extract similar representations as human brain?
by: Chen, Peili, et al.
Published: (2023)
by: Chen, Peili, et al.
Published: (2023)
Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization
by: Xu, Dehong, et al.
Published: (2023)
by: Xu, Dehong, et al.
Published: (2023)
On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
by: Xu, Dehong, et al.
Published: (2024)
by: Xu, Dehong, et al.
Published: (2024)
Intra-neuronal attention within language models Relationships between activation and semantics
by: Pichat, Michael, et al.
Published: (2025)
by: Pichat, Michael, et al.
Published: (2025)
Sparks of cognitive flexibility: self-guided context inference for flexible stimulus-response mapping by attentional routing
by: Sommers, Rowan P., et al.
Published: (2025)
by: Sommers, Rowan P., et al.
Published: (2025)
Compressed representation of brain genetic transcription
by: Ruffle, James K, et al.
Published: (2023)
by: Ruffle, James K, et al.
Published: (2023)
Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text
by: Luo, Xiaoliang, et al.
Published: (2024)
by: Luo, Xiaoliang, et al.
Published: (2024)
Similar Items
-
Large language models are not about natural language
by: Bolhuis, Johan J., et al.
Published: (2025) -
Vision-language models learn the geometry of human perceptual space
by: Sanders, Craig, 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) -
Meta predictive learning model of languages in neural circuits
by: Li, Chan, et al.
Published: (2023) -
Speaker effects in language comprehension: An integrative model of language and speaker processing
by: Wu, Hanlin, et al.
Published: (2024)