scholarly journals Passive exposure to speech sounds induces long-term memory representations in the auditory cortex of adult rats

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jari L. O. Kurkela ◽  
Arto Lipponen ◽  
Jarmo A. Hämäläinen ◽  
Risto Näätänen ◽  
Piia Astikainen
Keyword(s):  
Auditory Cortex ◽  
Long Term Memory ◽  
Speech Sounds ◽  
Adult Rats ◽  
Term Memory ◽  
Passive Exposure ◽  
Memory Representations

Manifold Visual Working Memory

2020 ◽  
pp. 311-332
Author(s):  
Nicole Hakim ◽  
Edward Awh ◽  
Edward K. Vogel
Keyword(s):  
Working Memory ◽  
Visual Working Memory ◽  
Neural Activity ◽  
Long Term Memory ◽  
Term Memory ◽  
Memory Representations ◽  
Latent Representations ◽  
Definition Of ◽  
Spatial Locations

Visual working memory allows us to maintain information in mind for use in ongoing cognition. Research on visual working memory often characterizes it within the context of its interaction with long-term memory (LTM). These embedded-processes models describe memory representations as existing in three potential states: inactivated LTM, including all representations stored in LTM; activated LTM, latent representations that can quickly be brought into an active state due to contextual priming or recency; and the focus of attention, an active but sharply limited state in which only a small number of items can be represented simultaneously. This chapter extends the embedded-processes framework of working memory. It proposes that working memory should be defined operationally based on neural activity. By defining working memory in this way, the important theoretical distinction between working memory and LTM is maintained, while still acknowledging that they operate together. It is additionally proposed that active working memory should be further subdivided into at least two subcomponent processes that index item-based storage and currently prioritized spatial locations. This fractionation of working memory is based on recent research that has found that the maintenance of information distinctly relies on item-based representations as well as prioritization of spatial locations. It is hoped that this updated framework of the definition of working memory within the embedded-processes model provides further traction for understanding how we maintain information in mind.

A neurocognitive perspective on retrieval interference in L2 sentence processing

2016 ◽  
Vol 20 (4) ◽  
pp. 687-688 ◽  
Author(s):  
PHILLIP HAMRICK ◽  
MICHAEL T. ULLMAN
Keyword(s):  
Sentence Processing ◽  
Long Term Memory ◽  
Term Memory ◽  
Cross Domain ◽  
Memory Representations ◽  
Retrieval Interference ◽  
L1 And L2 ◽  
Processing Differences ◽  
Increased Susceptibility

Cunnings (Cunnings) offers an interpretation of L2-L1 sentence processing differences in terms of memory principles. We applaud such cross-domain approaches, which seem likely to significantly elucidate the neurocognition of language. Cunnings attributes sentence processing differences between (adult) high proficiency L2 and L1 speakers to an increased susceptibility to similarity-based retrieval interference, rather than to qualitative L2-L1 processing differences (cf. Clahsen & Felser, 2006). On his account, both L1 and L2 sentence processing depend upon a ‘bipartite’ working memory, which involves maintaining items active by focusing attention on long-term memory representations (Cowan, 2001).

scholarly journals Visuospatial bootstrapping: Long-term memory representations are necessary for implicit binding of verbal and visuospatial working memory

2012 ◽  
Vol 19 (2) ◽  
pp. 258-263 ◽  
Author(s):  
Stephen Darling ◽  
Richard J. Allen ◽  
Jelena Havelka ◽  
Aileen Campbell ◽  
Emma Rattray
Keyword(s):  
Working Memory ◽  
Long Term Memory ◽  
Visuospatial Working Memory ◽  
Term Memory ◽  
Memory Representations

Long-term memory representations for volumetric grasps

2013 ◽  
Vol 21 (6) ◽  
pp. 682-685
Author(s):  
Kao-Wei Chua ◽  
Daniel N. Bub ◽  
Michael E. J. Masson ◽  
Isabel Gauthier
Keyword(s):  
Long Term Memory ◽  
Term Memory ◽  
Memory Representations

The contribution of long-term memory and the role of frontal-lobe systems in on-line processing

2003 ◽  
Vol 26 (6) ◽  
pp. 756-756 ◽  
Author(s):  
Jennifer D. Ryan ◽  
Neal J. Cohen
Keyword(s):  
Working Memory ◽  
Frontal Lobe ◽  
Pivotal Role ◽  
Long Term Memory ◽  
Term Memory ◽  
Memory Binding ◽  
Memory Representations ◽  
On Line

Ruchkin et al. ascribe a pivotal role to long-term memory representations and binding within working memory. Here we focus on the interaction of working memory and long-term memory in supporting on-line representations of experience available to guide on-going processing, and we distinguish the role of frontal-lobe systems from what the hippocampus contributes to relational long-term memory binding.

Working Memory Has Better Fidelity Than Long-Term Memory: The Fidelity Constraint Is Not a General Property of Memory After All

2018 ◽  
Vol 30 (2) ◽  
pp. 223-237 ◽  
Author(s):  
Natalie Biderman ◽  
Roy Luria ◽  
Andrei R. Teodorescu ◽  
Ron Hajaj ◽  
Yonatan Goshen-Gottstein
Keyword(s):  
Working Memory ◽  
Hierarchical Modeling ◽  
Real Life ◽  
Memory Systems ◽  
Long Term Memory ◽  
Model Parameters ◽  
Total N ◽  
Term Memory ◽  
Memory Representations

How detailed are long-term-memory representations compared with working memory representations? Recent research has found an equal fidelity bound for both memory systems, suggesting a novel general constraint on memory. Here, we assessed the replicability of this discovery. Participants (total N = 72) were presented with colored real-life objects and were asked to recall the colors using a continuous color wheel. Deviations from study colors were modeled to generate two estimates of color memory: the variability of remembered colors—fidelity—and the probability of forgetting the color. Estimating model parameters using both maximum-likelihood estimation and Bayesian hierarchical modeling, we found that working memory had better fidelity than long-term memory (Experiments 1 and 2). Furthermore, within each system, fidelity worsened as a function of time-correlated mechanisms (Experiments 2 and 3). We conclude that fidelity is subject to decline across and within memory systems. Thus, the justification for a general fidelity constraint in memory does not seem to be valid.

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