Mind wandering at encoding, but not at retrieval, disrupts one-shot stimulus-control learning

2021 ◽  
Author(s):  
Peter S. Whitehead ◽  
Younis Mahmoud ◽  
Paul Seli ◽  
Tobias Egner

The one-shot pairing of a stimulus with a specific cognitive control process, such as task switching, can bind the two together in memory. The episodic control-binding hypothesis posits that the formation of temporary stimulus-control bindings, which are held in event-files supported by episodic memory, can guide the contextually appropriate application of cognitive control. Across two experiments, we sought to examine the role of task-focused attention in the encoding and implementation of stimulus-control bindings in episodic event-files. In Experiment 1, we obtained self-reports of mind wandering during encoding and implementation of stimulus-control bindings. Results indicated that, whereas mind wandering during the implementation of stimulus-control bindings does not decrease their efficacy, mind wandering during the encoding of these control-state associations interferes with their successful deployment at a later point. In Experiment 2, we complemented these results by using trial-by-trial pupillometry to measure attention, again demonstrating that attention levels at encoding predict the subsequent implementation of stimulus-control bindings better than attention levels at implementation. These results suggest that, although encoding stimulus-control bindings in episodic memory requires active attention and engagement, once encoded, these bindings are automatically deployed to guide behavior when the stimulus recurs. These findings expand our understanding of how cognitive control processes are integrated into episodic event files.


Author(s):  
Peter S. Whitehead ◽  
Younis Mahmoud ◽  
Paul Seli ◽  
Tobias Egner


2018 ◽  
Vol 7 (3.6) ◽  
pp. 410
Author(s):  
J Antony Veera Puthira Raja ◽  
J A. Bharath Raj ◽  
M Bharath ◽  
P C. Kishore Kumar ◽  
V Rajendran

The multichannel data logger is the one of the prominent component in any instrumentation system, the control process to give a high resolution to store accurate data from the sensing elements which varies depends on the different applications. In this point of view there are many developed data loggers are customized and general purpose data logger are available in the market with typical sampling frequency of 100 KHZ. Although the general purpose data logger with many of the time is suitable for laboratory level purpose when it comes to the defense, very special testing procedure based manufacturing process, larger channel sensing methods with a well-designed and adapted to specific application based customized data logger always been the under development. Proposed data logger is enabled with 8 channels IoT (Internet of things).              



2013 ◽  
Vol 1539 ◽  
pp. 48-60 ◽  
Author(s):  
Jarrod Moss ◽  
Christian D. Schunn ◽  
Walter Schneider ◽  
Danielle S. McNamara




2013 ◽  
Vol 25 (4) ◽  
pp. 1004-1019 ◽  
Author(s):  
Jennifer Barredo ◽  
Ilke Öztekin ◽  
David Badre


2018 ◽  
Author(s):  
Sebastian Michelmann ◽  
Bernhard P. Staresina ◽  
Howard Bowman ◽  
Simon Hanslmayr

SummaryRemembering information from continuous past episodes is a complex task. On the one hand, we must be able to recall events in a highly accurate way that often includes exact timing; on the other hand, we can ignore irrelevant details and skip to events of interest. We here track continuous episodes, consisting of different sub-events, as they are recalled from memory. In behavioral and MEG data, we show that memory replay is temporally compressed and proceeds in a forward direction. Neural replay is characterized by the reinstatement of temporal patterns from encoding. These fragments of activity reappear on a compressed timescale. Herein, the replay of sub-events takes longer than the transition from one sub-event to another. This identifies episodic memory replay as a dynamic process in which participants replay fragments of fine-grained temporal patterns and are able to skip flexibly across sub-events.





2011 ◽  
Vol 328-330 ◽  
pp. 1216-1219
Author(s):  
Xiu Hui Fu ◽  
Jun Mu

The paper designs a kind of mobile jumping robot that can choose different movement strategies according to different surroundings. In order to achieve the purpose, we provide the integrated design of the robot which contains the information collection system and the mobile system. Then we describe the hardware structures and the control process in detail. First, we create the mechanical structure and analyze the kinematics model of it. Second, we give the specific design of the mobile actuating mechanisms. At last, we design the hardware circuits and control system of the robot based on TMS320LF2407A chip and put the robot into the experiments. Through the experiments, robot combines the wheeled movement and jumping movement effectively. The ultrasonic sensor is added to robot, and it makes the one smarter than any other traditional robots. The diversity of movement enhances the robot environmental adaptability and expands the range of application.



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