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Working memory capacity

Cowan, Nelson

2005

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Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Energies (Basel), 2017-08, Vol.10 (8), p.1168

2017

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Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks

PloS one, 2016-01, Vol.11 (1), p.e0146917-e0146917

2016

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Circuit mechanisms for the maintenance and manipulation of information in working memory

Nature neuroscience, 2019-07, Vol.22 (7), p.1159

2019

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A novel decomposition-ensemble prediction model for ultra-short-term wind speed

Energy conversion and management, 2021-11, Vol.248, p.114775, Article 114775

2021

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A diverse range of factors affect the nature of neural representations underlying short-term memory

Nature neuroscience, 2019-02, Vol.22 (2), p.275

2019

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From short-term store to multicomponent working memory: The role of the modal model

Memory & cognition, 2019-05, Vol.47 (4), p.575-588

2019

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Phonological Skills and Their Role in Learning to Read: A Meta-Analytic Review

Psychological bulletin, 2012-03, Vol.138 (2), p.322-352

2012

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Photovoltaic power forecasting based LSTM-Convolutional Network

Energy (Oxford), 2019-12, Vol.189, p.116225, Article 116225

2019

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Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning

IEEE transactions on power systems, 2020-07, Vol.35 (4), p.2937-2948

2020

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Dynamic hidden states underlying working-memory-guided behavior

Nature neuroscience, 2017-06, Vol.20 (6), p.864

2017

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The many faces of working memory and short-term storage

Psychonomic bulletin & review, 2017-08, Vol.24 (4), p.1158-1170

Cowan, Nelson

2017

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Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

Energy (Oxford), 2021-01, Vol.214, p.118980, Article 118980

2021

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Short-Term Memory and Long-Term Memory are Still Different

Psychological bulletin, 2017-09, Vol.143 (9), p.992-1009

2017

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Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

Transportation research. Part C, Emerging technologies, 2017-12, Vol.85, p.591-608

2017

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Short-Term Memory Based on Activated Long-Term Memory: A Review in Response to Norris (2017)

Psychological bulletin, 2019-08, Vol.145 (8), p.822-847

2019

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BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies

BMC bioinformatics, 2019-01, Vol.20 (1), p.10-12, Article 10

2019

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Working memory revived in older adults by synchronizing rhythmic brain circuits

Nature neuroscience, 2019-05, Vol.22 (5), p.820

2019

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Long-lasting, dissociable improvements in working memory and long-term memory in older adults with repetitive neuromodulation

Nature neuroscience, 2022-09, Vol.25 (9), p.1237

2022

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Memory for Serial Order Across Domains: An Overview of the Literature and Directions for Future Research

Psychological bulletin, 2014-03, Vol.140 (2), p.339-373

2014

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A novel residual graph convolution deep learning model for short-term network-based traffic forecasting

International journal of geographical information science : IJGIS, 2020-05, Vol.34 (5), p.969-995

2020

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Gesture Helps, Only If You Need It: Inhibiting Gesture Reduces Tip‐of‐the‐Tongue Resolution for Those With Weak Short‐Term Memory

Cognitive science, 2021-01, Vol.45 (1), p.e12914-n/a

2021

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Data-assisted reduced-order modeling of extreme events in complex dynamical systems

PloS one, 2018-05, Vol.13 (5), p.e0197704-e0197704

2018

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Task representations in neural networks trained to perform many cognitive tasks

Nature neuroscience, 2019-02, Vol.22 (2), p.297

2019

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Mixed Neural Network Approach for Temporal Sleep Stage Classification

IEEE transactions on neural systems and rehabilitation engineering, 2018-02, Vol.26 (2), p.324

2018

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Working memory capacity

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks

Circuit mechanisms for the maintenance and manipulation of information in working memory

A novel decomposition-ensemble prediction model for ultra-short-term wind speed

A diverse range of factors affect the nature of neural representations underlying short-term memory

From short-term store to multicomponent working memory: The role of the modal model

Phonological Skills and Their Role in Learning to Read: A Meta-Analytic Review

Photovoltaic power forecasting based LSTM-Convolutional Network

Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning

Dynamic hidden states underlying working-memory-guided behavior

The many faces of working memory and short-term storage

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

Short-Term Memory and Long-Term Memory are Still Different

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

Short-Term Memory Based on Activated Long-Term Memory: A Review in Response to Norris (2017)

BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies

Working memory revived in older adults by synchronizing rhythmic brain circuits

Long-lasting, dissociable improvements in working memory and long-term memory in older adults with repetitive neuromodulation

Memory for Serial Order Across Domains: An Overview of the Literature and Directions for Future Research

A novel residual graph convolution deep learning model for short-term network-based traffic forecasting

Gesture Helps, Only If You Need It: Inhibiting Gesture Reduces Tip‐of‐the‐Tongue Resolution for Those With Weak Short‐Term Memory

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

Task representations in neural networks trained to perform many cognitive tasks

Mixed Neural Network Approach for Temporal Sleep Stage Classification

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