NMDA receptor plasticity in the perirhinal and prefrontal cortices is crucial for the acquisition of long-term object-in-place associative memory [PDF]
, 2008 A key process for recognition memory is the formation of associations between an object and the place in which it was encountered, a process that has been shown to require the perirhinal (PRH) and medial prefrontal (mPFC) cortices.
Barker, Gareth, Warburton, E Clea
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Long-term associative learning predicts verbal short-term memory performance [PDF]
, 2017 Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information ...
A Murray +62 more
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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
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Independence of long-term contextual memory and short-term perceptual hypotheses: evidence from contextual cueing of interrupted search [PDF]
, 2016 Observers are able to resume an interrupted search trial faster relative to responding to a new, unseen display. This finding of rapid resumption is attributed to short-term perceptual hypotheses generated on the current look and confirmed upon ...
Geyer, T. +3 more
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Human activity recognition making use of long short-term memory techniques [PDF]
, 2019 The optimisation and validation of a classifiers performance when applied to real world problems is not always effectively shown. In much of the literature describing the application of artificial neural network architectures to Human Activity ...
Shenfield, Alex, Wainwright, Richard
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Generating image descriptions with multidirectional 2D long short‐term memory
IET Computer Vision, 2017 Connecting visual imagery with descriptive language is a challenge for computer vision and machine translation. To approach this problem, the authors propose a novel end‐to‐end model to generate descriptions for images.
Shuohao Li +4 more
doaj +1 more source
Dependency-based long short term memory network for drug-drug interaction extraction
BMC Bioinformatics, 2017 Background Drug-drug interaction extraction (DDI) needs assistance from automated methods to address the explosively increasing biomedical texts. In recent years, deep neural network based models have been developed to address such needs and they have ...
Wei Wang +5 more
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Long short-term memory networks for earthquake detection in Venezuelan regions [PDF]
, 2019 Reliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks to single-station three ...
Alvarado Bermúdez, Leonardo +7 more
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Prediksi Gender Berdasarkan Nama Bahasa Indonesia Menggunakan Long Short Term Memory
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2023 Prediksi gender merupakan salah satu bentuk dari program yang dapat melakukan prediksi yang mengeluarkan output berupa jenis gender. Pada riset yang dilakukan pada studi kasus ini, kami menggunakan input berupa teks nama orang Indonesia.
Arya Mulya Kusuma +5 more
doaj +1 more source
Continual Learning Long Short Term Memory [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 Catastrophic forgetting in neural networks indicates the performance decreasing of deep learning models on previous tasks while learning new tasks. To address this problem, we propose a novel Continual Learning Long Short Term Memory (CL-LSTM) cell in Recurrent Neural Network (RNN) in this paper.
Xin Guo +6 more
openaire +1 more source