:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bonnasse-Gahot, Laurent, Pallier, Christophe
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Computation and Language Artificial Intelligence Neurons and Cognition
Online-Zugang:	https://arxiv.org/abs/2602.12811
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

Category learning in deep neural networks: Information content and geometry of internal representations
von: Bonnasse-Gahot, Laurent, et al.
Veröffentlicht: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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