Results 131 to 140 of about 3,183,655 (317)
Response probability and latency: a straight line, an operational definition of meaning and the structure of short term memory [PDF]
, 2007 The functional relationship between response probability and time is investigated in data from Rubin, Hinton and Wenzel (1999) and Anderson (1981). Recall/recognition probabilities and search times are linearly related through stimulus presentation lags
Tarnow, Dr. Eugen
core
, 2016 Synaptic memory is considered to be the main element responsible for learning and cognition in humans. Although traditionally non-volatile long-term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications, recent
Roy, Kaushik, Sengupta, Abhronil
core +1 more source
Photoswitching Conduction in Framework Materials
Advanced Functional Materials, EarlyView.This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Chronic Toxoplasma gondii infection is associated with decreased working memory performance in women
Estudos de Psicologia (Campinas)Objective The present study sought to investigate changes in mood, inhibitory control, and working memory associated with T. gondii infection in a sample of Brazilian women.
Laiany Nayara Barros Gonçalves +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Generating image descriptions with multidirectional 2D long short‐term memory
IET Computer Vision, 2017 Connecting visual imagery with descriptive language is a challenge for computer vision and machine translation. To approach this problem, the authors propose a novel end‐to‐end model to generate descriptions for images.
Shuohao Li +4 more
doaj +1 more source
A review on the long short-term memory model
Artificial Intelligence Review, 2020 G. V. Houdt +2 more
semanticscholar +1 more source
Short-term memory binding in mild cognitive impairment [PDF]
, 2011 We showed that short-term memory (STM) binding is sensitive to sporadic and familial Alzheimer's disease (AD) but is not affected by healthy ageing, chronic depression in the elderly or other forms of dementia.
Delgado, M. +4 more
core
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami
Advanced Functional Materials, EarlyView.A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding +7 more
wiley +1 more source