Copertina

Sensing Intelligence as a Trainable Metamaterial Property

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Na, Kyungmi, Li, Yifei, Yang, Xinyi, Deng, Bolei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Neurons and Cognition Materials Science Artificial Intelligence Applied Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing
di: Pregowska, Agnieszka, et al.
Pubblicazione: (2024)

Fibration symmetry-breaking supports functional transitions in a brain network engaged in language
di: Gili, Tommaso, et al.
Pubblicazione: (2024)

A complex network perspective on brain disease
di: Papo, David, et al.
Pubblicazione: (2025)

Symmetries and synchronization from whole-neural activity in {\it C. elegans} connectome: Integration of functional and structural networks
di: Avila, Bryant, et al.
Pubblicazione: (2024)

Lattice physics approaches for neural networks
di: Bardella, Giampiero, et al.
Pubblicazione: (2024)

The Nature of Intelligence
di: You, Barco Jie
Pubblicazione: (2023)

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

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

Building Artificial Intelligence with Creative Agency and Self-hood
di: Gabora, Liane, et al.
Pubblicazione: (2024)

Drift to Remember
di: Du, Jin, et al.
Pubblicazione: (2024)

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

Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
di: Pichat, Michael
Pubblicazione: (2024)

Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
di: Arslan, Suayb S.
Pubblicazione: (2024)

A MEMS-based optical scanning system for precise, high-speed neural interfacing
di: Yalcin, Cem, et al.
Pubblicazione: (2021)

Less is More: some Computational Principles based on Parcimony, and Limitations of Natural Intelligence
di: Cohen, Laura, et al.
Pubblicazione: (2025)

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

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

An analog-electronic implementation of a harmonic oscillator recurrent neural network
di: Carvalho, Pedro, et al.
Pubblicazione: (2025)

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems
di: Mathis, Mackenzie Weygandt
Pubblicazione: (2024)

Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
di: Golilarz, Noorbakhsh Amiri, et al.
Pubblicazione: (2025)

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

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

Vision Language Models Know Law of Conservation without Understanding More-or-Less
di: Luo, Dezhi, et al.
Pubblicazione: (2024)

Probing Mechanical Reasoning in Large Vision Language Models
di: Sun, Haoran, et al.
Pubblicazione: (2024)

A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
di: Jiang, Xiaowei, et al.
Pubblicazione: (2024)

Noise-induced Extreme Events in Hodgkin-Huxley Neural Networks
di: Boaretto, Bruno R. R., et al.
Pubblicazione: (2025)

Order parameters and phase transitions of continual learning in deep neural networks
di: Shan, Haozhe, et al.
Pubblicazione: (2024)

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

Investigation of in vitro neuronal activity processing using a CMOS-integrated ZrO2-based memristive crossbar
di: Koryazhkina, Maria N., et al.
Pubblicazione: (2024)

Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework
di: Nagar, Dinor, et al.
Pubblicazione: (2024)

Leveraging Quantum Superposition to Infer the Dynamic Behavior of a Spatial-Temporal Neural Network Signaling Model
di: Silva, Gabriel A.
Pubblicazione: (2024)

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

The Principles of Human-like Conscious Machine
di: Li, Fangfang, et al.
Pubblicazione: (2025)

Retina gap junctions support the robust perception by warping neural representational geometries along the visual hierarchy
di: Yue, Yang, et al.
Pubblicazione: (2026)

A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification
di: Lu, Jingqi, et al.
Pubblicazione: (2026)

Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
di: Saiga, Rino, et al.
Pubblicazione: (2024)

Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AI
di: Rao, Rajesh P. N., et al.
Pubblicazione: (2025)

Are Colors Quanta of Light for Human Vision? A Quantum Cognition Study of Visual Perception
di: Arguëlles, Jonito Aerts
Pubblicazione: (2024)

Yes, Prime Minister, question order does matter -- and it's certainly not classical! But is it quantum?
di: Brody, Dorje C.
Pubblicazione: (2024)

From Conceptual Spaces to Quantum Concepts: Formalising and Learning Structured Conceptual Models
di: Tull, Sean, et al.
Pubblicazione: (2023)