Results 11 to 20 of about 2,083,956 (322)

Long-term memory retrieval bypasses working memory

open access: yesNeuroImage, 2022
For decades, it has been assumed that when humans retrieve information from long-term memory (LTM), information need first to be brought back into working memory (WM). However, as WM capacity is limited, it is unclear what happens if information from LTM
Baiwei Liu   +3 more
doaj   +4 more sources

Long-term memory for unfamiliar voices [PDF]

open access: greenThe Journal of the Acoustical Society of America, 1989
From a sample of young male Californians, ten speakers were selected whose voices were approximately normally distributed with respect to the ‘‘easy-to-remember’’ versus ‘‘hard-to-remember’’ judgments of a group of raters. A separate group of listeners each heard one of the voices, and, after delays of 1, 2, or 4 weeks, tried to identify the voice they
George Papçun   +2 more
openalex   +5 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   +3 more sources

Merging of Long-Term Memories in an Insect [PDF]

open access: yesCurrent Biology, 2015
Research on comparative cognition has largely focused on successes and failures of animals to solve certain cognitive tasks, but in humans, memory errors can be more complex than simple failures to retrieve information [1, 2]. The existence of various types of "false memories," in which individuals remember events that they have never actually ...
Hunt, KL, Chittka, L
openaire   +5 more sources

Long-Term Memory for Affiliates in Ravens [PDF]

open access: yesCurrent Biology, 2012
Complex social life requires individuals to recognize and remember group members and, within those, to distinguish affiliates from nonaffiliates. Whereas long-term individual recognition has been demonstrated in some nonhuman animals, memory for the relationship valence to former group members has received little attention.
Thomas Bugnyar, Markus Boeckle
openaire   +4 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
Diancai Cai   +3 more
openaire   +5 more sources

Long-term potentiation and memory [PDF]

open access: yesPhilosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 2003
Abstract The discovery of long-term potentiation (LTP) transformed research on the neurobiology of learning and memory. This did not happen overnight, but the discovery of an experimentally demonstrable phenomenon reflecting activity-driven neuronal and synaptic plasticity changed discussions about what might underlie learning from ...
openaire   +3 more sources

Self-rated everyday prospective memory abilities of cigarette smokers and non-smokers: a web based study [PDF]

open access: yes, 2005
The present study examined self-ratings of two aspects of everyday memory performance: long-term prospective memory—measured by the prospective memory questionnaire (PMQ), and everyday memory—measured by the everyday memory questionnaire (EMQ).
Buchanan, T.   +11 more
core   +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

Optimal long term investment model with memory [PDF]

open access: yes, 2005
We consider a financial market model driven by an R^n-valued Gaussian process with stationary increments which is different from Brownian motion. This driving noise process consists of $n$ independent components, and each component has memory described ...
Inoue, Akihiko, Nakano, Yumiharu
core   +4 more sources

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