Results 81 to 90 of about 1,758,697 (309)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone +19 more
wiley +1 more source
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs [PDF]
arXiv, 2019 GPUs offer orders-of-magnitude higher memory bandwidth than traditional CPU-only systems. However, GPU device memory tends to be relatively small and the memory capacity can not be increased by the user. This paper describes Buddy Compression, a scheme to increase both the effective GPU memory capacity and bandwidth while avoiding the downsides of ...
arxiv
Inhibition of Connexin43 hemichannels impairs spatial short-term memory without affecting spatial working memory [PDF]
, 2016 Astrocytes are active players in higher brain function as they can release gliotransmitters, which are essential for synaptic plasticity. Various mechanisms have been proposed for gliotransmission, including vesicular mechanisms as well as non-vesicular ...
Albertini, Giulia +5 more
core +2 more sources
Arthritis Care &Research, EarlyView.Objective Posttraumatic osteoarthritis (PTOA) accounts for nearly 12% of osteoarthritis incidences and often occurs after anterior cruciate ligament (ACL) tear. Ensuring the uptake of preventive treatments for PTOA requires that investigators and clinicians understand factors influencing patients to seek preventive therapies.
Lily M. Waddell +10 more
wiley +1 more source
The Evolution of Primate Short-Term Memory
Animal Behavior and Cognition, 2020 Short-term memory is implicated in a range of cognitive abilities and is critical for understanding primate cognitive evolution. To investigate the effects of phylogeny, ecology and sociality on short-term memory, we tested the largest and most diverse primate sample to date (421 non-human primates across 41 species) in an experimental delayed-response
ManyPrimates +83 more
openaire +11 more sources
The Short Term Memory Structure In State-Of-The Art Recall/Recognition Experiments of Rubin, Hinton and Wentzel [PDF]
, 2005 Properties of a short term memory structure are discovered in the data of Rubin, Hinton and Wenzel (1999): Recall (recognition) probabilities and search times are linearly related through stimulus presentation lags from 6 seconds to 600 (350) seconds ...
Tarnow, Dr. Eugen
core
Long Short-Term Memory with Dynamic Skip Connections
, 2018 In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies.
Gong, Jingjing +6 more
core +1 more source
Short-term memory and long-term memory are still different. [PDF]
, 2017 A commonly expressed view is that short-term memory (STM) is nothing more than activated long-term memory. If true, this would overturn a central tenet of cognitive psychology-the idea that there are functionally and neurobiologically distinct short- and
Norris, Dennis
core +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
Neural Network Adaptive Control With Long Short‐Term Memory
International Journal of Adaptive Control and Signal Processing, EarlyView.ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc +4 more
wiley +1 more source