Results 141 to 150 of about 75,210 (257)

Personalized high-intensity temporal interference stimulation decouples cerebellar networks to enhance implicit learning. [PDF]

J Neuroeng Rehabil
Tang D, Qin L, Hu L, Jian Y, Gao S, Huang Z, Cai L, Shao X, Chang C, Zhao G, Zhu Z.   +10 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Implicit learning across varying temporal scales in individuals with and without mood instability. [PDF]

J Affect Disord
Atkinson LZ, Zokaei N, Panchal P, Nelissen N, Saunders KEA, Rushworth MFS, Darby D, Geddes JR, Harmer CJ, Harrison PJ, Nobre AC.   +10 more
europepmc   +1 more source

Implicit learning in 3-year-olds with high and low likelihood of autism shows no evidence of precision weighting differences. [PDF]

Dev Sci, 2022
Ward EK, Buitelaar JK, Hunnius S.
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

The effect of implicit learning on functional connectivity in schizophrenia. [PDF]

Front Psychiatry
Hinc AC, Selek S, Sungur I, Keskin K, Yazici F, Erata MC, Erdogan Y, Yilmaz A, Kitis O, Eker MC, Gonul AS.   +10 more
europepmc   +1 more source

Auditory Cortical Changes Precede Brainstem Changes During Rapid Implicit Learning: Evidence From Human EEG. [PDF]

Front Neurosci, 2021
Skoe E, Krizman J, Spitzer ER, Kraus N.
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Categorical consistency of parity and magnitude facilitates implicit learning of color-number associations. [PDF]

PLoS One
Retter TL, Schiltz C.
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source