Results 11 to 20 of about 3,183,655 (317)
Short-term memory as a working memory control process [PDF]
Frontiers in Psychology, 2013 Aben et al. (2012) take issue with the unthoughtful use of the terms “working memory” (WM) and “short-term memory” (STM) in the cognitive and neuroscientific literature.
Eddy J Davelaar
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Insensitivity of visual short-term memory to irrelevant visual information [PDF]
, 2002 Several authors have hypothesised that visuo-spatial working memory is functionally analogous to verbal working memory. Irrelevant background speech impairs verbal short-term memory.
Arnaud Szmalec +15 more
core +3 more sources
A Study on Difference in Short-Term Memory in Healthy Males and Females of Kerala
Journal of Nobel Medical College, 2013 Journal of Nobel Medical College Vol.
Sailesh Sai Kumar +2 more
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The magical number 4 in short-term memory: A reconsideration of mental storage capacity
Behavioral and Brain Sciences, 2001 Miller (1956) summarized evidence that people can remember about seven chunks in short-term memory (STM) tasks. However, that number was meant more as a rough estimate and a rhetorical device than as a real capacity limit.
N. Cowan
semanticscholar +1 more source
Musicians have better memory than nonmusicians: A meta-analysis [PDF]
, 2017 Background Several studies have found that musicians perform better than nonmusicians in memory tasks, but this is not always the case, and the strength of this apparent advantage is unknown.
Altoe', Gianmarco +3 more
core +10 more sources
Simple and Complex Working Memory Tasks Allow Similar Benefits of Information Compression
Journal of Cognition, 2018 Complex working memory span tasks were designed to engage multiple aspects of working memory and impose interleaved processing demands that limit the use of mnemonic strategies, such as chunking.
Fabien Mathy +2 more
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Deep learning with long short-term memory networks for financial market predictions
European Journal of Operational Research, 2017 Long short-term memory (LSTM) networks are a state-of-the-art technique for sequence learning. They are less commonly applied to financial time series predictions, yet inherently suitable for this domain.
Thomas G. Fischer, C. Krauss
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IET Generation, Transmission & Distribution, 2021 Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang +4 more
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THE PSYCHOLINGUISTIC BASIS OF THE LINGUISTIC CONCEPTUALIZATION
Revista de Investigaciones Universidad del Quindío, 2022 The object of this article is the methodology of psycholinguistics concerning analyzing concepts. The article's relevance is due to the need to apply new approaches to linguistic phenomena analysis, for which a purely linguistic methodology is not
Zhao Yuanze +3 more
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Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition
IEEE Access, 2022 Automatic speech recognition (ASR) is one of the most demanding tasks in natural language processing owing to its complexity. Recently, deep learning approaches have been deployed for this task and have been proven to outperform traditional machine ...
Jane Ngozi Oruh +2 more
semanticscholar +1 more source