Cover Image

Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	An, Jingmin, Song, Yilong, Yang, Ruolin, Ding, Nai, Lu, Lingxi, Wang, Yuxuan, Wang, Wei, Zhuang, Chu, Wang, Qian, Fang, Fang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
by: Pedersen, Jens E., et al.
Published: (2023)

Probing the Representational Geometry of Color Qualia: Dissociating Pure Perception from Task Demands in Brains and AI Models
by: Xu, Jing
Published: (2025)

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
by: Li, Dongyang, et al.
Published: (2025)

UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization
by: Fang, Zhanhong, et al.
Published: (2025)

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
by: Shen, Guobin, et al.
Published: (2024)

UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces
by: Hong, Binjie, et al.
Published: (2026)

Backpropagation through Soft Body: Investigating Information Processing in Brain-Body Coupling Systems
by: Tomioka, Hiroki, et al.
Published: (2025)

FIMP-HGA: A Novel Approach to Addressing the Partitioning Min-Max Weighted Matching Problem
by: Wang, Yuxuan, et al.
Published: (2024)

A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
by: Bai, Qianyi, et al.
Published: (2025)

Octopus Inspired Optimization (OIO): A Hierarchical Framework for Navigating Protein Fitness Landscapes
by: Wang, Xu, et al.
Published: (2024)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network
by: Wang, Ziqing, et al.
Published: (2024)

Spiking Wavelet Transformer
by: Fang, Yuetong, et al.
Published: (2024)

Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search
by: Lv, Haoze, et al.
Published: (2025)

A Unified Cortical Circuit Model with Divisive Normalization and Self-Excitation for Robust Representation and Memory Maintenance
by: Su, Jie, et al.
Published: (2025)

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
by: Qian, Chao, et al.
Published: (2024)

A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
by: Shang, Ke, et al.
Published: (2026)

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs
by: Huang, Zhipeng, et al.
Published: (2024)

Diffusion-based Evolutionary Optimization for 3D Multi-Objective Molecular Generation
by: Sun, Ruiqing, et al.
Published: (2025)

Interpreting V1 Population Activity via Image-Neural Latent Representation Alignment
by: Wang, Xin, et al.
Published: (2026)

Event2Vec: Processing Neuromorphic Events Directly by Representations in Vector Space
by: Fang, Wei, et al.
Published: (2025)

Ranking Constraints via Topological Dual-Directional Search in Evolutionary Multi-Objective Optimization
by: Sun, Ruiqing, et al.
Published: (2026)

Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization
by: Sun, Ruiqing, et al.
Published: (2025)

Children's Acquisition of Tail-recursion Sequences: A Review of Locative Recursion and Possessive Recursion as Examples
by: Wang, Xiaoyi, et al.
Published: (2024)

Optimal ANN-SNN Conversion with Group Neurons
by: Lv, Liuzhenghao, et al.
Published: (2024)

Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms
by: Ma, Yuxuan, et al.
Published: (2025)

General Fourier Feature Physics-Informed Extreme Learning Machine (GFF-PIELM) for High-Frequency PDEs
by: Ren, Fei, et al.
Published: (2025)

LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
by: Chen, Zhen-Song, et al.
Published: (2025)

Rethinking Intelligence: Brain-like Neuron Network
by: Liu, Weifeng
Published: (2026)

A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization
by: Wu, Tongyu, et al.
Published: (2025)

A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
by: Du, Wei, et al.
Published: (2024)

Accelerating evolutionary exploration through language model-based transfer learning
by: Reissmann, Maximilian, et al.
Published: (2024)

Scalable Dendritic Modeling Advances Expressive and Robust Deep Spiking Neural Networks
by: Huang, Yifan, et al.
Published: (2024)

MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
by: Chen, Jiaxin, et al.
Published: (2024)

Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)
by: Cornell, Cameron, et al.
Published: (2025)

A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment
by: Wang, Haidong, et al.
Published: (2025)

On Solving Close Enough Orienteering Problems with Overlapped Neighborhoods
by: Qian, Qiuchen, et al.
Published: (2023)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
by: Shankar, Sohan, et al.
Published: (2025)

Frequency Matching in Spiking Neural Networks for mmWave Sensing
by: Yu, Di, et al.
Published: (2026)

Modular, Hierarchical Machine Learning for Sequential Goal Completion
by: McDonald, Nathan
Published: (2024)

Evolution With Purpose: Hierarchy-Informed Optimization of Whole-Brain Models
by: Shahrzad, Hormoz, et al.
Published: (2026)