Results 11 to 20 of about 10,158,674 (290)

Long-term memory

open access: yes, 2021
Long-term memory is the mechanism which enables us to store information and experiences in a lasting fashion, for possible retrieval at some point in the future. This ability to create and retrieve memories is fundamental to all aspects of cognition, and
David Groome, Robin Law
core   +3 more sources

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   +4 more sources

Long-Term Potentiation and Memory [PDF]

open access: yesPhysiological Reviews, 2004
Lynch, MA. Long-Term Potentiation and Memory. Physiol Rev 84: 87–136, 2004; 10.1152/physrev.00014.2003.—One of the most significant challenges in neuroscience is to identify the cellular and molecular processes that underlie learning and memory formation. The past decade has seen remarkable progress in understanding changes that accompany certain forms
Lynch, M. A., Ma, Lynch
openaire   +2 more sources

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

Assessing the involvement of long-term memory in working memory. [PDF]

open access: yesPsychon Bull Rev
Abstract Complex span tasks are working memory (WM) tasks in which participants maintain series of items (e.g., letters) for further serial recall while performing a concurrent task (e.g., parity judgement on digits). It has been shown that even pushing the demand of this concurrent task at its individual limits strongly reduces, but ...
Pougeon J   +3 more
europepmc   +5 more sources

Consequences for option pricing of a long memory in volatility [PDF]

open access: yes, 2001
The economic consequences of a long memory assumption about volatility are documented, by comparing implied volatilities for option prices obtained from short and long memory volatility processes.
Taylor, S J
core   +4 more sources

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

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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