Results 111 to 120 of about 941,916 (317)

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Hippocampal-prefrontal theta coupling develops as mice become proficient in associative odorant discrimination learning. [PDF]

eNeuro, 2022
Ramirez-Gordillo D, Bayer KU, Restrepo D.   +2 more
europepmc   +1 more source

Reflections on Eriksen’s seminal essay on discrimination, performance and learning without awareness [PDF]

, 2020
Randolph Blake
openalex   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

"Classifying-together" phenomenon in fish (Xenotoca eiseni): Simultaneous exposure to visual stimuli impairs subsequent discrimination learning. [PDF]

PLoS One, 2022
Sovrano VA, Baratti G, Potrich D, Rosà T, Mazza V.   +4 more
europepmc   +1 more source

OCTOID: A Soft Robotic System Featuring Programmable Shape Morphing and Dynamic Structural Coloration

Advanced Functional Materials, EarlyView.
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han, Seok‐In Lim, Ki‐Hyun Ryu, Sang Seok Lee, Dong‐Gue Kang, Jahyeon Koo, Kwang‐Un Jeong, Shin‐Hyun Kim, Dae‐Yoon Kim   +8 more
wiley   +1 more source

A new protocol for investigating visual two-choice discrimination learning in lizards. [PDF]

Anim Cogn, 2022
Szabo B, Whiting MJ.
europepmc   +1 more source

Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm [PDF]

, 2023
Qingqing Yan, Fuyan Li, Yi Cui, Yong Wang, Xiao Wang, Wenjing Jia, Xinhui Liu, Yuting Li, Huan J. Chang, Feng Shi, Yuwei Xia, Qing Zhou, Qingshi Zeng   +12 more
openalex   +1 more source

Spectrally Tuned Floating‐Gate Synapse Based on Blue‐ and Red‐Absorbing Organic Molecules for Wavelength‐Selective Neural Networks and Fashion Image Classifications

Advanced Functional Materials, EarlyView.
The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang, Jisoo Park, Jinwoong Hong, Jinmin Park, Jeongbo Lee, Hyeonjung Kim, Wonjun Shin, Eva Bestelink, Radu A. Sporea, Seyong Oh, Chung Whan Lee, Yun‐Hi Kim, Hocheon Yoo   +12 more
wiley   +1 more source

Mushroom body output neurons MBON-a1/a2 define an odor intensity channel that regulates behavioral odor discrimination learning in larval Drosophila. [PDF]

Front Physiol, 2023
Mohamed A, Malekou I, Sim T, O'Kane CJ, Maait Y, Scullion B, Masuda-Nakagawa LM.   +6 more
europepmc   +1 more source