Results 21 to 30 of about 9,825,522 (293)

Hemispheric Asymmetries in Electroencephalogram Oscillations for Long-Term Memory Retrieval in Healthy Individuals

open access: yesBrain Sciences, 2020
The hemispherical encoding retrieval asymmetry (HERA) model, established in 1991, suggests that the involvement of the right prefrontal cortex (PFC) in the encoding process is less than that of the left PFC.
Soyiba Jawed   +3 more
doaj   +1 more source

Reconsolidation of Long-Term Memory in Aplysia [PDF]

open access: yesCurrent Biology, 2012
When an animal is reminded of a prior experience and shortly afterward treated with a protein synthesis inhibitor, the consolidated memory for the experience can be disrupted; by contrast, protein synthesis inhibition without prior reminding commonly does not disrupt long-term memory [1-3]. Such results imply that the reminding triggers reconsolidation
Cai, Diancai   +3 more
openaire   +4 more sources

The Relationship between Short- and Long-Term Memory Is Preserved across the Age Range

open access: yesBrain Sciences, 2023
Both short- and long-term memories decline with healthy ageing. The aims of the current study were twofold: firstly, to build on previous studies and investigate the presence of a relationship between short- and long-term memories and, secondly, to ...
Giedrė Čepukaitytė   +4 more
doaj   +1 more source

Retrieval Practice Enhances New Learning but does Not Affect Performance in Subsequent Arithmetic Tasks

open access: yesJournal of Cognition, 2022
The forward testing effect is an indirect benefit of retrieval practice. It refers to the finding that retrieval practice of previously studied information enhances learning and retention of subsequently studied other information in episodic memory tasks.
Bernhard Pastötter   +3 more
doaj   +1 more source

Long Term Memory Assistance for Evolutionary Algorithms

open access: yesMathematics, 2019
Short term memory that records the current population has been an inherent component of Evolutionary Algorithms (EAs). As hardware technologies advance currently, inexpensive memory with massive capacities could become a performance boost to EAs.
Matej Črepinšek   +3 more
doaj   +1 more source

THE PSYCHOLINGUISTIC BASIS OF THE LINGUISTIC CONCEPTUALIZATION

open access: yesRevista 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
doaj   +1 more source

Arabic Language Sentiment Analysis using Bidirectional Long Short Term Memory [PDF]

open access: yesIJCI International Journal of Computers and Information, 2023
The amount of data generated in the digital era is huge since the super growth of social networks. Sentiment analysis (SA) seeks to extract opinions from a text and determine the polarity (positive, negative, or neutral).
amira abdelatey   +2 more
doaj   +1 more source

Effect of acute predator stress on learning and memory in a zebrafish model

open access: yesNational Journal of Physiology, Pharmacy and Pharmacology, 2023
Background: In zebrafish, the stress system is represented by the hypothalamo–pituitary–interrenal axis which is similar to human HPA axis. Several studies have reported that stress affects the learning and memory in humans and rodents.
Latha Ramalingam, Vijay Madhaiyan
doaj   +1 more source

Semantic similarity dissociates shortfrom long-term recency effects: testing a neurocomputational model of list memory [PDF]

open access: yes, 2006
The finding that recency effects can occur not only in immediate free recall (i.e., short-term recency) but also in the continuous-distractor task (i.e., long-term recency) has led many theorists to reject the distinction between short- and long-term ...
Usher, Marius   +3 more
core   +6 more sources

Learning-Based Illuminant Estimation Model With a Persistent Memory Residual Network (PMRN) Architecture

open access: yesIEEE Access, 2021
Since AlexNet, large deep convolutional neural networks (DCNNs) have been one of the major topics of interest in the field of computer vision, as well as bringing remarkable progress to the field. However, there has been little effort to use the DCNNs in
Ho-Hyoung Choi, Byoung-Ju Yun
doaj   +1 more source

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