Results 51 to 60 of about 1,758,697 (309)
Serial order in short-term memory [PDF]
, 2001 How do we maintain a novel sequence of items in the correct order? For example, how do we remember the car number plate at the scene of a crime? Or how do we remember an unfamiliar telephone number during the few seconds between putting down the ...
Henson, R.N.A.
core
Short-Term Memory in Orthogonal Neural Networks
, 2004 We study the ability of linear recurrent networks obeying discrete time dynamics to store long temporal sequences that are retrievable from the instantaneous state of the network.
Daniel D. Lee +5 more
core +1 more source
Compositional Distributional Semantics with Long Short Term Memory [PDF]
, 2015 We are proposing an extension of the recursive neural network that makes use of a variant of the long short-term memory architecture. The extension allows information low in parse trees to be stored in a memory register (the `memory cell') and used much ...
Le, Phong, Zuidema, Willem
core +2 more sources
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source
Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques
Journal of Intelligent Systems, 2020 Gearbox is one of the vital components in aircraft engines. If any small damage to gearbox, it can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in gearbox system.
Mallikarjuna P B +3 more
doaj +1 more source
Evidence Against Novelty-Gated Encoding in Serial Recall
Journal of Cognition, 2022 Novelty-gated encoding is the assumption that events are encoded more strongly into memory when they are more novel in comparison to previously encoded events. It is a core assumption of the SOB model of serial recall (Farrell & Lewandowsky, 2002).
Klaus Oberauer +3 more
doaj +1 more source
Long Short-Term Memory Spatial Transformer Network
, 2019 Spatial transformer network has been used in a layered form in conjunction with a convolutional network to enable the model to transform data spatially.
Chen, Tianyue, Feng, Shiyang, Sun, Hao
core +1 more source
FEBS Letters, EarlyView.In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley +1 more source
Can short-term memory be trained? [PDF]
Memory & Cognition, 2019 2 Is the capacity of short-term memory fixed or does it improve with practice? It is already known that training on complex working memory tasks is more likely to transfer to untrained tasks with similar properties, but this approach has not been extended to the more basic short-term memory system responsible for verbal serial recall.
Norris, Dennis Graham +2 more
openaire +3 more sources
Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 As cryptocurrencies develop, it cannot be denied that crypto prices are volatile. One of the influencing factors is the increasing volume of transactions which attracts the interest of researchers to conduct research in developing coin price predictions ...
Risna Sari +3 more
doaj +1 more source