Cover Image

Self-Organizing Language

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Eugenio, P. Myles, Beavers, Anthony
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Divergences between Language Models and Human Brains
by: Zhou, Yuchen, et al.
Published: (2023)

Aspects of human memory and Large Language Models
by: Janik, Romuald A.
Published: (2023)

Can Brain Signals Reveal Inner Alignment with Human Languages?
by: Han, William, et al.
Published: (2022)

Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective
by: Nakagi, Yuko, et al.
Published: (2025)

In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs
by: Clemente, Simone, et al.
Published: (2025)

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

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

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

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

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection
by: Kang, Jiawen, 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)

COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling
by: Lin, Baihan, et al.
Published: (2024)

Marti-5: A Mathematical Model of "Self in the World" as a First Step Toward Self-Awareness
by: Pivovarov, Igor, et al.
Published: (2025)

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

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

Contrastive Self-Supervised Learning As Neural Manifold Packing
by: Zhang, Guanming, et al.
Published: (2025)

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

Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models
by: Liu, Yiheng, et al.
Published: (2025)

WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
by: Zeng, Ziyi, 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)

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

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

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

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

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

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
by: Pinier, Christopher, 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)

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

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

One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
by: Tang, Changli, 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)

Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
by: Latheef, Ammar Ahmed Pallikonda, et al.
Published: (2024)

Scaling of learning time for high dimensional inputs
by: Brito, Carlos Stein
Published: (2026)

Hierarchical temporal receptive windows and zero-shot timescale generalization in biologically constrained scale-invariant deep networks
by: Sarkar, Aakash, et al.
Published: (2026)

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

What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval
by: Zhang, Xinyu, et al.
Published: (2026)

Sophisticated Learning: A novel algorithm for active learning during model-based planning
by: Hodson, Rowan, et al.
Published: (2023)

Self-orthogonalizing attractor neural networks emerging from the free energy principle
by: Spisak, Tamas, et al.
Published: (2025)