Results 191 to 200 of about 711,556 (344)

More experience in the initial learning of spatial information improves cognitive flexibility in food-caching chickadees. [PDF]

Anim Cogn
Richmond AAH, Heinen VK, Welklin JF, Sonnenberg BR, Haley SM, Whitenack LE, Bridge ES, Pravosudov VV.   +7 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source

Real‐Time, Label‐Free Classification of Cell Death Pathways via Holotomography‐Based Deep Learning Framework

Advanced Intelligent Systems, EarlyView.
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim, Wei Sun Park, Geon Kim, Sanggeun Oh, Jaephil Do, Juyeon Park, Jihwan Yu, Won Do Heo, YongKeun Park   +8 more
wiley   +1 more source

Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility. [PDF]

J Neurosci
Leach SC, Hollow H, Jiang J, Hwang K.
europepmc   +1 more source

Metamemory and Cognitive Flexibility among First-year University Students [PDF]

, 2013
Nafez A. Bukaiei
openalex   +1 more source

Exposure to metal mixtures may decrease children’s cognitive flexibility via gut microbiota

, 2023
Yue Sun, Yanwen Wang, Jianlong Fang, Yanjun Du, Minghao Wang, Xiaotu Liu, Da Chen, Qinghua Sun, Tiantian Li   +8 more
openalex   +1 more source

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

Advanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

Disrupted Structure-Function Integration in Systemic Lupus Erythematosus and Its Impact on Cognitive Flexibility. [PDF]

Hum Brain Mapp
Qian X, Bassett DS, Ng KK, Loo BRY, Ho RC, Mak A, Zhou JH.   +6 more
europepmc   +1 more source

Testing three models of cognitive stress effects: A psychopharmacological randomized controlled trial of acute stress and stress hormones across visual perception, response inhibition and cognitive flexibility [PDF]

Lisa J. Weckesser, Charlotte Grosskopf, Bruno Weber, Selen Soylu, Tanja Endrass, Robert Miller   +5 more
openalex