Results 131 to 140 of about 863,365 (305)

Electrophysiological and Behavioral Working Memory Differences Between Musicians and Non-Musicians [PDF]

open access: yes, 2015
The current study is an examination of P300 differences between musicians and non-musician groups during a visual oddball task, in addition to behavioral subtests of the TOMAL-2 measuring visual and auditory working memory.
Felke, Zach   +4 more
core   +1 more source

Positive‐Tone Nanolithography of Antimony Trisulfide with Femtosecond Laser Wet‐Etching

open access: yesAdvanced Functional Materials, EarlyView.
A butyldithiocarbamic acid (BDCA) etchant is used to fabricate various micro‐ and nanoscale structures on amorphous antimony trisulfide (a‐Sb2S3) thin film via femtosecond laser etching. Numerical analysis and experimental results elucidate the patterning mechanism on gold (reflective) and quartz (transmissive) substrates.
Abhrodeep Dey   +12 more
wiley   +1 more source

Effective visual working memory capacity: an emergent effect from the neural dynamics in an attractor network.

open access: yesPLoS ONE, 2012
The study of working memory capacity is of outmost importance in cognitive psychology as working memory is at the basis of general cognitive function.
Laura Dempere-Marco   +2 more
doaj   +1 more source

Working Memory Networks for Learning Temporal Order, with Application to 3-D Visual Object Recognition [PDF]

open access: yes, 1991
Working memory neural networks are characterized which encode the invariant temporal order of sequential events. Inputs to the networks, called Sustained Temporal Order REcurrent (STORE) models, may be presented at widely differing speeds, durations, and
Bradski, Gary   +2 more
core   +1 more source

Selective and Precise Editing of Digital Polymers Through Parallel or Series Toehold‐Mediated Strand Displacement

open access: yesAdvanced Functional Materials, EarlyView.
A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski   +3 more
wiley   +1 more source

Photoswitching Conduction in Framework Materials

open access: yesAdvanced 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

手の心的回転課題と運動イメージ明瞭度およびワーキングメモリの関連 [PDF]

open access: yes, 2015
Objective : Numerous studies have reported the use of motor imagery as a rehabilitation tool for stroke patients. Here we investigated the relationship of a mental rotation task for assessment of motor imagery ability with motor imagery vividness and ...
Mutsuhide TANAKA   +5 more
core  

Adaptive memory distortion in visual working memory

open access: yes, 2019
When holding multiple items in visual working memory, representations of individual items are often attracted to, or repelled from, each other. While empirically well-established, existing frameworks do not account for both types of distortions, which appear to be in opposition.
Brady , Timothy   +3 more
openaire   +3 more sources

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced 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

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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

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