:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bonnasse-Gahot, Laurent, Pallier, Christophe
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Neurons and Cognition
Online Access:	https://arxiv.org/abs/2602.12811
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

fMRI predictors based on language models of increasing complexity recover brain left lateralization
by: Bonnasse-Gahot, Laurent, 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)

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

Do self-supervised speech and language models extract similar representations as human brain?
by: Chen, Peili, et al.
Published: (2023)

On the Analogy between Human Brain and LLMs: Spotting Key Neurons in Grammar Perception
by: Norouzi, Sanaz Saki, et al.
Published: (2025)

Intra-neuronal attention within language models Relationships between activation and semantics
by: Pichat, Michael, et al.
Published: (2025)

Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length
by: Wang, Chupei, et al.
Published: (2025)

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

Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
by: Wu, Hanlin, et al.
Published: (2025)

Integrated representational signatures strengthen specificity in brains and models
by: Wu, Jialin, et al.
Published: (2025)

Linguistic properties and model scale in brain encoding: from small to compressed language models
by: Oota, Subba Reddy, et al.
Published: (2026)

Matching domain experts by training from scratch on domain knowledge
by: Luo, Xiaoliang, et al.
Published: (2024)

The brain-AI convergence: Predictive and generative world models for general-purpose computation
by: Ohmae, Shogo, et al.
Published: (2025)

Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks
by: Urbach, Roy, et al.
Published: (2025)

Crafting Interpretable Embeddings by Asking LLMs Questions
by: Benara, Vinamra, et al.
Published: (2024)

On the Shape of Brainscores for Large Language Models (LLMs)
by: Li, Jingkai
Published: (2024)

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

"Dark Triad" Model Organisms of Misalignment: Narrow Fine-Tuning Mirrors Human Antisocial Behavior
by: Lulla, Roshni, et al.
Published: (2026)

Effort as Ceiling, Not Dial: Reasoning Budget Does Not Modulate Cognitive Cost Alignment Between Humans and Large Reasoning Models
by: Hu, Yueqing, et al.
Published: (2026)

Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence
by: Bogdan, Alex, et al.
Published: (2026)

Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems
by: Ramezani, Pegah, et al.
Published: (2026)

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

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

Hán Dān Xué Bù (Mimicry) or Qīng Chū Yú Lán (Mastery)? A Cognitive Perspective on Reasoning Distillation in Large Language Models
by: Hu, Yueqing, et al.
Published: (2026)

A neural network for modeling human concept formation, understanding and communication
by: Guo, Liangxuan, et al.
Published: (2026)

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

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

The age of spiritual machines: Language quietus induces synthetic altered states of consciousness in artificial intelligence
by: Skipper, Jeremy I, et al.
Published: (2024)

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

Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind
by: Oved, Iris, et al.
Published: (2024)

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems
by: Alexos, Antonios, et al.
Published: (2024)

The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing
by: Li, Yuannan, et al.
Published: (2024)

Beyond Individuals: Collective Predictive Coding for Memory, Attention, and the Emergence of Language
by: Taniguchi, Tadahiro
Published: (2025)

Self-Attention Limits Working Memory Capacity of Transformer-Based Models
by: Gong, Dongyu, et al.
Published: (2024)

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

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings
by: Guo, Yi, et al.
Published: (2025)

Emergence of psychopathological computations in large language models
by: Lee, Soo Yong, et al.
Published: (2025)

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

Hebbian learning the local structure of language
by: Eugenio, P. Myles
Published: (2025)

Working Memory Capacity of ChatGPT: An Empirical Study
by: Gong, Dongyu, et al.
Published: (2023)