Cover Image

Hierarchy or Heterarchy? A Theory of Long-Range Connections for the Sensorimotor Brain

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hawkins, Jeff, Leadholm, Niels, Clay, Viviane
Format:	Preprint
Published:	2025
Subjects:	Neurons and Cognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence
by: Clay, Viviane, et al.
Published: (2024)

Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images
by: Raugel, Joséphine, et al.
Published: (2026)

Noumenal Labs White Paper: How To Build A Brain
by: Ramstead, Maxwell J. D., et al.
Published: (2025)

D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
by: Hu, Haoyu, et al.
Published: (2024)

From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios
by: Zhige, Chen, et al.
Published: (2024)

Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
by: Kirova, Valeriya, et al.
Published: (2025)

Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation
by: Acharya, Sayantan, et al.
Published: (2025)

Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders
by: Hu, Jinlong, et al.
Published: (2026)

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference
by: Leadholm, Niels, et al.
Published: (2025)

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

Sensorimotor Contingencies and The Sensorimotor Approach to Cognition
by: Pak, Denizhan
Published: (2025)

BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction
by: Yin, Xuanhua, et al.
Published: (2026)

BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction
by: Shen, Xiongri, et al.
Published: (2025)

Brain-inspired and Self-based Artificial Intelligence
by: Zeng, Yi, et al.
Published: (2024)

Scale-Invariance Drives Convergence in AI and Brain Representations
by: Yu, Junjie, et al.
Published: (2025)

How Much is Brain Data Worth for Machine Learning?
by: Lewis, Lane, et al.
Published: (2026)

Embodied sensorimotor control: computational modeling of the neural control of movement
by: Almani, Muhammad Noman, et al.
Published: (2025)

Orangutan: A Multiscale Brain Emulation-Based Artificial Intelligence Framework for Dynamic Environments
by: Xie, Yong
Published: (2024)

A Foundational Theory for Decentralized Sensory Learning
by: Mårtensson, Linus, et al.
Published: (2025)

Shifting Attention to You: Personalized Brain-Inspired AI Models
by: Zhao, Stephen Chong, et al.
Published: (2025)

Towards Unified Neural Decoding with Brain Functional Network Modeling
by: Wu, Di, et al.
Published: (2025)

Disentangling the Factors of Convergence between Brains and Computer Vision Models
by: Raugel, Joséphine, et al.
Published: (2025)

Brain-like Functional Organization within Large Language Models
by: Sun, Haiyang, et al.
Published: (2024)

Do Language Models Align with Brains? Prediction Scores Are Not Enough
by: Jia, Xiao
Published: (2026)

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
by: Qu, Gang, et al.
Published: (2024)

MindSimulator: Exploring Brain Concept Localization via Synthetic FMRI
by: Bao, Guangyin, et al.
Published: (2025)

From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
by: Serre, Thomas, et al.
Published: (2025)

From Theory of Mind to Theory of Environment: Counterfactual Simulation of Latent Environmental Dynamics
by: Uchiyama, Ryutaro
Published: (2026)

Brain-aligning of semantic vectors improves neural decoding of visual stimuli
by: Vafaei, Shirin, et al.
Published: (2024)

The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Prediction
by: Corsico, Andrea, et al.
Published: (2025)

A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
by: Zheng, Shengjie, et al.
Published: (2022)

Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification
by: Sahota, Amarpal, et al.
Published: (2024)

Brain-Language Model Alignment: Insights into the Platonic Hypothesis and Intermediate-Layer Advantage
by: López-Cardona, Ángela, et al.
Published: (2025)

Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity
by: Tilwani, Deepa, et al.
Published: (2024)

Metalearning-Informed Competence in Children: Implications for Responsible Brain-Inspired Artificial Intelligence
by: Singh, Chaitanya
Published: (2023)

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
by: Kang, Yanqing, et al.
Published: (2024)

A Modular Theory of Subjective Consciousness for Natural and Artificial Minds
by: Gillon, Michaël
Published: (2025)

The Quantification Horizon Theory of Consciousness
by: Le, T. R.
Published: (2017)

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
by: Csaba, Botos, et al.
Published: (2026)

Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity
by: Noguchi, Shogo, et al.
Published: (2026)