scholarly journals Slow oscillations open susceptible time windows for epileptic discharges

Epilepsia ◽  
2021 ◽  
Author(s):  
Laurent Sheybani ◽  
Pierre Mégevand ◽  
Laurent Spinelli ◽  
Christian G. Bénar ◽  
Shahan Momjian ◽  
...  
Keyword(s):  
Time Windows ◽  
Slow Oscillations ◽  
Epileptic Discharges

scholarly journals Cueing memory during sleep is optimal during slow-oscillatory up-states

2017 ◽  
Author(s):  
Maurice Göldi ◽  
Eva van Poppel ◽  
Björn Rasch ◽  
Thomas Schreiner
Keyword(s):  
Neural Plasticity ◽  
Closed Loop ◽  
Recall Performance ◽  
Time Windows ◽  
Sleep Spindle ◽  
Neural Basis ◽  
Slow Oscillations ◽  
Memory Reactivation ◽  
Up States ◽  
Healthy Participants

AbstractSlow oscillations play a major role in neural plasticity. It is assumed that slow oscillatory up-states represent crucial time windows for memory reactivation and consolidation during sleep. Here we experimentally tested this assumption by utilizing closed-loop targeted memory reactivation (closed-loop TMR): Healthy participants were re-exposed to prior learned foreign vocabulary during up- and down-states of slow oscillations, respectively, in a within-subject design. We show that presenting memory cues during slow oscillatory up-states robustly improves recall performance, whereas memory cueing during down-states did not result in a clear behavioral benefit. On a neural basis successful memory reactivation during up-states was associated with a characteristic power increase in the theta and sleep spindle band. Such increases were completely absent for down-state memory cues. Our findings provide experimental support for the assumption that slow oscillatory up-states represent privileged time windows for memory reactivation, while the interplay of slow oscillations, theta and sleep spindle activity promote successful memory consolidation during sleep.

W2-2. Analysis of coupling between fast and slow oscillations in scalp electroencephalography for Sturge-Weber syndrome with contralateral epileptic discharges

2019 ◽  
Vol 130 (10) ◽  
pp. e207-e208
Author(s):  
Yasushi Iimura ◽  
Hidenori Sugano ◽  
Hiroharu Suzuki ◽  
Takumi Mitsuhashi ◽  
Hajime Arai
Keyword(s):  
Slow Oscillations ◽  
Weber Syndrome ◽  
Epileptic Discharges ◽  
Sturge Weber Syndrome

Project Scheduling with Time Windows and Scarce Resources

2002 ◽  
Author(s):  
Klaus Neumann ◽  
Christoph Schwindt ◽  
Jürgen Zimmermann
Keyword(s):  
Project Scheduling ◽  
Time Windows ◽  
Scarce Resources

Tourism Route Planning Route Based on Tourist Category using Orientee ring Problem with Time Windows

2019 ◽  
Vol 1 (1) ◽  
pp. 42-49
Author(s):  
Indri Hapsari ◽  
◽  
Hazrul Is wadi ◽  
Yosvaldo Ongko Cahyadi ◽  
◽  
...  
Keyword(s):  
Time Windows ◽  
Route Planning ◽  
Ring Problem

Recent advances on urban taxi sharing systems with the path arrival probability

2020 ◽  
Vol 13 ◽  
Author(s):  
Dui Hongyan ◽  
Zhang Chi
Keyword(s):  
Failure Probability ◽  
Traffic Congestion ◽  
Optimal Strategy ◽  
Time Windows ◽  
Optimal Path ◽  
Route Planning ◽  
Driving Time ◽  
Load Rate ◽  
Travel Efficiency ◽  
Arrival Probability

Background : Taxi sharing is an emerging transportation arrangement that helps improve the passengers’ travel efficiency and reduce costs. This study proposes an urban taxi sharing system. Methods: Considering each side congestion of the transport network, their corresponding reliability and failure probability are analyzed. Under the constraints of the number of passengers and their own time windows, the analysis is performed on passengers whose optimal path is inclusive. Results: According to the optimal strategy, the different passengers can be arranged into the same taxi to realize the taxi sharing. Then the shared taxi route can be optimized. Conclusion: Due to the reasonable vehicle route planning and passenger combination, these can effectively alleviate the traffic congestion, save the driving time, reduce the taxi no-load rate, and save the driving distance. At last, a numerical example is used to demonstrate the proposed method.

scholarly journals Reply to “Comment on ‘The Impact of Recent Forcing and Ocean Heat Uptake Data on Estimates of Climate Sensitivity’”

2020 ◽  
Vol 33 (1) ◽  
pp. 397-404 ◽  
Author(s):  
Nicholas Lewis ◽  
Judith Curry
Keyword(s):  
Time Windows ◽  
Internal Variability ◽  
Historical Record ◽  
Cmip5 Models ◽  
Temperature Record ◽  
Ocean Heat Uptake ◽  
Transient Climate Response ◽  
Total Uncertainty ◽  
The Impact ◽  
The Relationship

AbstractCowtan and Jacobs assert that the method used by Lewis and Curry in 2018 (LC18) to estimate the climate system’s transient climate response (TCR) from changes between two time windows is less robust—in particular against sea surface temperature bias correction uncertainty—than a method that uses the entire historical record. We demonstrate that TCR estimated using all data from the temperature record is closely in line with that estimated using the LC18 windows, as is the median TCR estimate using all pairs of individual years. We also show that the median TCR estimate from all pairs of decade-plus-length windows is closely in line with that estimated using the LC18 windows and that incorporating window selection uncertainty would make little difference to total uncertainty in TCR estimation. We find that, when differences in the evolution of forcing are accounted for, the relationship over time between warming in CMIP5 models and observations is consistent with the relationship between CMIP5 TCR and LC18’s TCR estimate but fluctuates as a result of multidecadal internal variability and volcanism. We also show that various other matters raised by Cowtan and Jacobs have negligible implications for TCR estimation in LC18.

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