Results 31 to 40 of about 9,658,058 (338)

Prioritizing Targets and Minimizing Distraction Within Limited Capacity Working Memory

Journal of Cognition, 2019
Oberauer (2019) maps out different perspectives that have emerged in exploring working memory and attention, and suggests particular ways in which these key aspects of cognition might operate in the service of successful goal completion.
Richard J. Allen
doaj   +1 more source

Intrusion detection systems using long short-term memory (LSTM)

Journal of Big Data, 2021
An intrusion detection system (IDS) is a device or software application that monitors a network for malicious activity or policy violations. It scans a network or a system for a harmful activity or security breaching. IDS protects networks (Network-based
FatimaEzzahra Laghrissi, Samira Douzi, K. Douzi, Badr Hssina   +3 more
semanticscholar   +1 more source

Performance- and stimulus-dependent oscillations in monkey prefrontal cortex during short-term memory [PDF]

, 2009
Short-term memory requires the coordination of sub-processes like encoding, retention, retrieval and comparison of stored material to subsequent input. Neuronal oscillations have an inherent time structure, can effectively coordinate synaptic integration
Rodriguez, E.F., Pipa, Gordon, Munk, M.H.J., Rodriguez, Eugenio F., Munk, Matthias Hans Joachim, Waltz, James A., Muckli, Lars, Waltz, J.A., Städtler, E.S., Waltz, J., Pipa, G., Göbel, R., Muckli, L.F., Munk, M.H., Muckli, L., Städtler, E., Rodriguez , E., Singer, Wolf, Munk, M., Städtler, Ellen, Singer, W., Goebel, R., Goebel, Rainer, Goebel, R.; id_orcid, Wolf Singer, Rainer Goebel, Lars Muckli, Gordon Pipa, James A Waltz, Ellen S Staedtler, Eugenio F Rodriguez, Matthias H J Munk   +31 more
core   +1 more source

Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

Annual Meeting of the Association for Computational Linguistics, 2016
Relation classification is an important semantic processing task in the field of natural language processing (NLP). State-ofthe-art systems still rely on lexical resources such as WordNet or NLP systems like dependency parser and named entity recognizers
P. Zhou, Wei Shi, Jun Tian, Zhenyu Qi, B. Li, Hongwei Hao, Bo Xu   +6 more
semanticscholar   +1 more source

Preregistered Replication of the Auditory Deviant Effect: A Robust Benchmark Finding

Journal of Cognition, 2019
Short-term memory of visually presented lists of items is disrupted by auditory distraction. The auditory deviant effect refers to the finding that a sequence in which a single auditory event deviates from all other auditory objects disrupts serial ...
Raoul Bell, Laura Mieth, Jan Philipp Röer, Stefan J. Troche, Axel Buchner   +4 more
doaj   +1 more source

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

Hydrology and Earth System Sciences, 2018
. Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data-driven models.
Frederik Kratzert, D. Klotz, Claire Brenner, K. Schulz, M. Herrnegger   +4 more
semanticscholar   +1 more source

Modelling the relationship between visual short-term memory capacity and recall ability [PDF]

, 2008
Previous cognitive modelling work has suggested that the decline of short-term memory (STM) capacity is the dominant factor of age-related decline on recall ability. We report the results of a set of experiments investigating in further detail the effect
Peter C.R. Lane, Fernand Gobet, Gobet, F., Lane, PCR, Richard L. Smith, Lane, P.C.R., Smith, R.L., Smith, RL, Gobet, F   +8 more
core   +1 more source

Fluctuations of Attention and Working Memory

Journal of Cognition, 2019
Attention and working memory are intricately related, yet there remain ambiguities in how to best characterize this relationship. In his review, Oberauer formalizes several dimensions for the relationship between attention and working memory, focusing ...
Kirsten C.S. Adam, Megan T. deBettencourt   +1 more
doaj   +1 more source

Brain Activation during Associative Short-Term Memory Maintenance is Not Predictive for Subsequent Retrieval

Frontiers in Human Neuroscience, 2015
Performance on working memory (WM) tasks may partially be supported by long-term memory (LTM) processing. Hence, brain activation recently being implicated in WM may actually have been driven by (incidental) LTM formation. We examined which brain regions
Heiko eBergmann, Sander eDaselaar, Sarah eBeul, Mark eRijpkema, Guillen eFernandez, Roy P.C. Kessels, Roy P.C. Kessels   +6 more
doaj   +1 more source

Data-Driven Golden Jackal Optimization–Long Short-Term Memory Short-Term Energy-Consumption Prediction and Optimization System

Energies
In order to address the issues of significant energy and resource waste, low-energy management efficiency, and high building-maintenance costs in hot-summer and cold-winter regions of China, a research project was conducted on an office building located ...
Yongjie Yang, Yulong Li, Yan Cai, Hui Tang, Peng Xu   +4 more
semanticscholar   +1 more source