:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Toro-Hernández, Felipe D., Filho, Jesuino Vieira, Cabral-Carvalho, Rodrigo M.
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Machine Learning Neurons and Cognition
Accès en ligne:	https://arxiv.org/abs/2602.05971
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines
par: Carvalho, Wilka, et autres
Publié: (2025)

Crafting Interpretable Embeddings by Asking LLMs Questions
par: Benara, Vinamra, et autres
Publié: (2024)

Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
par: Choi, Jungwon, et autres
Publié: (2024)

Brain-to-Text Benchmark '24: Lessons Learned
par: Willett, Francis R., et autres
Publié: (2024)

Divergences between Language Models and Human Brains
par: Zhou, Yuchen, et autres
Publié: (2023)

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
par: Rudravaram, Gaurav, et autres
Publié: (2025)

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding
par: Chen, Zexuan, et autres
Publié: (2026)

What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval
par: Zhang, Xinyu, et autres
Publié: (2026)

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
par: Re, Francesco Ignazio, et autres
Publié: (2025)

Dissociating model architectures from inference computations
par: Sajid, Noor, et autres
Publié: (2025)

Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants
par: Jalouzot, Louis, et autres
Publié: (2025)

Large language models reorganize representational geometry during in-context learning
par: Xiong, Hua-Dong, et autres
Publié: (2026)

Human-inspired Episodic Memory for Infinite Context LLMs
par: Fountas, Zafeirios, et autres
Publié: (2024)

Can Brain Signals Reveal Inner Alignment with Human Languages?
par: Han, William, et autres
Publié: (2022)

EmoMind: Decoding Affective Captions from Human Brain fMRI
par: Mohammed, Bilal A., et autres
Publié: (2026)

A Data-Driven Method to Map the Functional Organisation of Human Brain White Matter
par: Sun, Yifei, et autres
Publié: (2026)

On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
par: Xu, Dehong, et autres
Publié: (2024)

NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning
par: Wang, Guoan, et autres
Publié: (2026)

Nonlinear Dynamical Modeling of Human Intracranial Brain Activity with Flexible Inference
par: Vaziri, Kiarash, et autres
Publié: (2025)

State Space Models Naturally Produce Time Cell and Oscillatory Behaviors and Scale to Abstract Cognitive Functions
par: Lu, Sen, et autres
Publié: (2025)

Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
par: Chung, Moo K., et autres
Publié: (2022)

Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
par: Zhao, Minglu, et autres
Publié: (2025)

The Human Brain as a Combinatorial Complex
par: Sánchez, Valentina, et autres
Publié: (2025)

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
par: Yu, Muquan, et autres
Publié: (2025)

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
par: Piriyasatit, Suchanuch, et autres
Publié: (2025)

Meta-Dynamical State Space Models for Integrative Neural Data Analysis
par: Vermani, Ayesha, et autres
Publié: (2024)

Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation
par: Faremi, Saheed, et autres
Publié: (2026)

Concept Alignment
par: Rane, Sunayana, et autres
Publié: (2024)

The Geometry of Concepts: Sparse Autoencoder Feature Structure
par: Li, Yuxiao, et autres
Publié: (2024)

Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
par: Salvatore, Nikolaus, et autres
Publié: (2025)

A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System
par: Wang, Zhixuan
Publié: (2025)

From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint
par: Raynal, Jacques, et autres
Publié: (2026)

Beyond Binary: Speech Representations Across the Cognitive Score Hierarchy
par: Kopar, Serli, et autres
Publié: (2026)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
par: Noman, Fuad, et autres
Publié: (2021)

An explainable framework for the relationship between dementia and glucose metabolism patterns
par: Vázquez-García, C., et autres
Publié: (2026)

Trial-Level Time-frequency EEG Desynchronization as a Neural Marker of Pain
par: Blanco-Mora, D. A., et autres
Publié: (2025)

In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs
par: Clemente, Simone, et autres
Publié: (2025)

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

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

Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective
par: Nakagi, Yuko, et autres
Publié: (2025)