Results 251 to 260 of about 3,183,655 (317)
Adverse drug reaction signal detection via the long short-term memory model. [PDF]
Front PharmacolCao M +5 more
europepmc +1 more source
Stronger Short-Term Memory, Larger Hippocampi and Area V1 in People with High VVIQ Scores. [PDF]
Vision (Basel)Marks DF.
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Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan. [PDF]
Front Public HealthKoge D, Wagatsuma K.
europepmc +1 more source
Preliminary Data Regarding the Alleviating Effects of Haloperidol and Risperidone on the Short-Term Memory and Associative Learning in a Zebrafish Model of Schizophrenia. [PDF]
Pharmaceuticals (Basel)Lungu PF +10 more
europepmc +1 more source
Real-Time Estimation of User Adaptation During Hip Exosuit-Assisted Walking Using Wearable Inertial Measurement Unit Data and Long Short-Term Memory Modeling. [PDF]
Biomimetics (Basel)Park C +4 more
europepmc +1 more source
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Neural Computation, 1997
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM ...
S, Hochreiter, J, Schmidhuber
openaire +3 more sources
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM ...
S, Hochreiter, J, Schmidhuber
openaire +3 more sources
Quarterly Journal of Experimental Psychology, 1969
Subjects tried to recall the location of a tactile stimulus on the underside of the forearm after delays of 0, 3, 5, 10, 15, 30, 45 and 60 sec. When “rehearsal” was prevented by requiring subjects to count backwards during the delay, accuracy of recall decreased systematically reaching an asymptote after 45 sec.
E Q, Gilson, A D, Baddeley
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Subjects tried to recall the location of a tactile stimulus on the underside of the forearm after delays of 0, 3, 5, 10, 15, 30, 45 and 60 sec. When “rehearsal” was prevented by requiring subjects to count backwards during the delay, accuracy of recall decreased systematically reaching an asymptote after 45 sec.
E Q, Gilson, A D, Baddeley
openaire +2 more sources
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
Nature Machine Intelligence, 2021Spike-based neuromorphic hardware holds promise for more energy-efficient implementations of deep neural networks (DNNs) than standard hardware such as GPUs.
Philipp Plank +3 more
semanticscholar +1 more source