Results 221 to 230 of about 1,209,275 (350)

Neuronal deletion of phosphatase and tensin homolog results in cerebellar motor learning dysfunction and alterations in intracellular signaling

, 2019
Suzanne O. Nolan, Taylor S. Jefferson, Conner D. Reynolds, Gregory D. Smith, Andrew J. Holley, Samantha L. Hodges, Joaquín N. Lugo   +6 more
openalex   +2 more sources

Impact of Explicit Information on Implicit Motor-Sequence Learning Following Middle Cerebral Artery Stroke [PDF]

, 2003
Lara A. Boyd, Carolee J. Winstein
openalex   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Bmal1 Modulates Striatal cAMP Signaling and Motor Learning. [PDF]

J Neurosci
Cryan CE, Liao Y, Widjaja JH, Sloan DC, Han Q, Rudic RD, Muntean BS.   +6 more
europepmc   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

Correction: Success-efficient/failure-safe strategy for hierarchical reinforcement motor learning. [PDF]

PLoS Comput Biol
PLOS Computational Biology Staff.
europepmc   +1 more source

Data Sheet 1_Convolutional neural networks decode finger movements in motor sequence learning from MEG data.docx

Aleksey Zabolotniy (22211695), Russell Weili Chan (19701085), Victoria Moiseeva (3463811), Tommaso Fedele (7623695)   +3 more
openalex   +1 more source

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

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, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Variant Target Effects on Motor Learning With M1 Anodal tDCS. [PDF]

Brain Behav
Perez J, McCallion Q, Poston B, Riley ZA.   +3 more
europepmc   +1 more source

The role of motor imagery in learning via instructions [PDF]

, 2018
De Houwer, Jan, De Schryver, Maarten, Liefooghe, Baptist, Theeuwes, Marijke   +3 more
core   +1 more source