scholarly journals The attentional blink reflects a delay in selecting T2 for working memory consolidation

2010 ◽  
Vol 3 (9) ◽  
pp. 714-714
Author(s):  
M. R Nieuwenstein ◽  
I. T C Hooge ◽  
R. H. J. Lubbe
Keyword(s):  
Working Memory ◽  
Attentional Blink ◽  
Memory Consolidation

scholarly journals Delayed working memory consolidation during the attentional blink

2002 ◽  
Vol 9 (4) ◽  
pp. 739-743 ◽  
Author(s):  
Edward K. Vogel ◽  
Steven J. Luck
Keyword(s):  
Working Memory ◽  
Attentional Blink ◽  
Memory Consolidation

scholarly journals The interplay of attention and consciousness in visual search, attentional blink and working memory consolidation

2014 ◽  
Vol 369 (1641) ◽  
pp. 20130215 ◽  
Author(s):  
Antonino Raffone ◽  
Narayanan Srinivasan ◽  
Cees van Leeuwen
Keyword(s):  
Working Memory ◽  
Visual Search ◽  
Attentional Blink ◽  
Memory Consolidation ◽  
Inattentional Blindness ◽  
Phenomenal Consciousness ◽  
Neural Correlates ◽  
Illusory Conjunctions ◽  
The One ◽  
Multiple Processing

Despite the acknowledged relationship between consciousness and attention, theories of the two have mostly been developed separately. Moreover, these theories have independently attempted to explain phenomena in which both are likely to interact, such as the attentional blink (AB) and working memory (WM) consolidation. Here, we make an effort to bridge the gap between, on the one hand, a theory of consciousness based on the notion of global workspace ( GW ) and, on the other, a synthesis of theories of visual attention. We offer a theory of attention and consciousness ( TAC ) that provides a unified neurocognitive account of several phenomena associated with visual search, AB and WM consolidation. TAC assumes multiple processing stages between early visual representation and conscious access, and extends the dynamics of the global neuronal workspace model to a visual attentional workspace ( VAW ) . The VAW is controlled by executive routers , higher-order representations of executive operations in the GW, without the need for explicit saliency or priority maps. TAC leads to newly proposed mechanisms for illusory conjunctions, AB, inattentional blindness and WM capacity, and suggests neural correlates of phenomenal consciousness. Finally, the theory reconciles the all-or-none and graded perspectives on conscious representation.

scholarly journals Glucocorticoids in the prefrontal cortex enhance memory consolidation and impair working memory by a common neural mechanism

2010 ◽  
Vol 107 (38) ◽  
pp. 16655-16660 ◽  
Author(s):  
A. Barsegyan ◽  
S. M. Mackenzie ◽  
B. D. Kurose ◽  
J. L. McGaugh ◽  
B. Roozendaal
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Memory Consolidation ◽  
Neural Mechanism

scholarly journals Scoring Alternatives for Mental Speed Tests: Measurement Issues and Validity for Working Memory Capacity and the Attentional Blink Effect

2018 ◽  
Vol 6 (4) ◽  
pp. 47 ◽  
Author(s):  
Florian Schmitz ◽  
Dominik Rotter ◽  
Oliver Wilhelm
Keyword(s):  
Working Memory ◽  
Attentional Blink ◽  
Diffusion Model ◽  
Working Memory Capacity ◽  
Visual Presentation ◽  
Memory Capacity ◽  
Task Type ◽  
Equation Modeling ◽  
Model Parameters ◽  
General Factor

Research suggests that the relation of mental speed with working memory capacity (WMC) depends on complexity and scoring methods of speed tasks and the type of task used to assess capacity limits in working memory. In the present study, we included conventional binding/updating measures of WMC as well as rapid serial visual presentation paradigms. The latter allowed for a computation of the attentional blink (AB) effect that was argued to measure capacity limitations at the encoding stage of working memory. Mental speed was assessed with a set of tasks and scored by diverse methods, including response time (RT) based scores, as well as ex-Gaussian and diffusion model parameterization. Relations of latent factors were investigated using structure equation modeling techniques. RT-based scores of mental speed yielded substantial correlations with WMC but only weak relations with the AB effect, while WMC and the AB magnitude were independent. The strength of the speed-WMC relation was shown to depend on task type. Additionally, the increase in predictive validity across RT quantiles changed across task types, suggesting that the worst performance rule (WPR) depends on task characteristics. In contrast to the latter, relations of speed with the AB effect did not change across RT quantiles. Relations of the model parameters were consistently found for the ex-Gaussian tau parameter and the diffusion model drift rate. However, depending on task type, other parameters showed plausible relations as well. The finding that characteristics of mental speed tasks determined the overall strength of relations with WMC, the occurrence of a WPR effect, and the specific pattern of relations of model parameters, implies that mental speed tasks are not exchangeable measurement tools. In spite of reflecting a general factor of mental speed, different speed tasks possess different requirements, supporting the notion of mental speed as a hierarchical construct.

scholarly journals Individual differences in working memory capacity moderate effects of post-learning activity on memory consolidation over the long term

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Markus Martini ◽  
Robert Marhenke ◽  
Caroline Martini ◽  
Sonja Rossi ◽  
Pierre Sachse
Keyword(s):  
Working Memory ◽  
Memory Consolidation ◽  
Working Memory Capacity ◽  
Word List ◽  
Memory Capacity ◽  
Learning Activity ◽  
Experimental Session ◽  
Distractor Task ◽  
Memory Retention ◽  
Eyes Closed

Abstract Similar to sleeping after learning, a brief period of wakeful resting after encoding new information supports memory retention in contrast to task-related cognition. Recent evidence suggests that working memory capacity (WMC) is related to sleep-dependent declarative memory consolidation. We tested whether WMC moderates the effect of a brief period of wakeful resting compared to performing a distractor task subsequent to encoding a word list. Participants encoded and immediately recalled a word list followed by either an 8 min wakeful resting period (eyes closed, relaxed) or by performing an adapted version of the d2 test of attention for 8 min. At the end of the experimental session (after 12–24 min) and again, after 7 days, participants were required to complete a surprise free recall test of both word lists. Our results show that interindividual differences in WMC are a central moderating factor for the effect of post-learning activity on memory retention. The difference in word retention between a brief period of wakeful resting versus performing a selective attention task subsequent to encoding increased in higher WMC individuals over a retention interval of 12–24 min, as well as over 7 days. This effect was reversed in lower WMC individuals. Our results extend findings showing that WMC seems not only to moderate sleep-related but also wakeful resting-related memory consolidation.

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