Results 31 to 40 of about 535,118 (163)
Stress and long-term memory retrieval: a systematic review
Trends in Psychiatry and Psychotherapy, 2020 Introduction The experience of stressful events can alter brain structures involved in memory encoding, storage and retrieval. Here we review experimental research assessing the impact of the stress-related hormone cortisol on long-term memory retrieval.
Cadu Klier, Luciano Grüdtner Buratto
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Forecasting Air Quality Indeks Using Long Short Term Memory
Journal of Applied Informatics and ComputingExercise offers significant physical and mental health benefits. However, undetected air pollution can have a negative impact on individual health, especially lung health when doing physical activity in crowded sports venues.
Irfan Wahyu Ramadhani +7 more
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Future Neurology, 2010 Memories lasting 6–24 h or more are usually called long-term memories. Some of them, however, persist just a couple of days, and others last months or years. Recent studies have described a delayed post-training phase that induces memory persistence. Two mechanisms have been described in rodents immediately after hippocampal cellular consolidation is ...
Ivan Izquierdo +2 more
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Memory – what is it and how it works?
Zdravniški Vestnik, 2006 : Memory system presents a basis for many cognitive functions and at the same time it itself depends on their normal function. The purpose of the article is to show how it works as an array of interacting systems, each capable of registring information ...
Sanja Šešok
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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
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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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Topics in Language Disorders, 1997 Two metacognitive strategies, ARROW and BRIDGE, are presented that can be taught to students to help them manage the long-term memory demands of middle school and high school curricula. Learning to use metacognitive strategies is not enough, however. To be successful, students must act strategically.
Wynn-Dancy, M L, Gillam, Ronald B.
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ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture
InformationIn recent years, the rapid development of large language models (LLMs) has led to a growing consensus in the industry regarding the integration of long-term and short-term memory.
Zongyu Ming, Zimu Wu, Genlang Chen
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Long Term Potentiation as a Mechanism for Learning and Memory [PDF]
Cell Journal, 2009 Since the 1970s when long term potentiation (LTP) was introduced to the scientific world;several studies have been devoted to determining whether this phenomenon is naturally abasic mechanism of learning and memory in mammalian brains. However, plenty of
Gholamali Hamidi +2 more
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Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory
Smart CitiesTraffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity
Ange-Lionel Toba +3 more
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