Suboptimal Strategy in Performing Coincident Timing Task under Risk

Keyword(s):  
2017 ◽  
Author(s):  
Young-Cho Kim ◽  
Nandakumar S. Narayanan

AbstractConsiderable evidence has shown that prefrontal neurons expressing D1-type dopamine receptors (D1DRs) are critical for working memory, flexibility, and timing. This line of work predicts that frontal neurons expressing D1DRs mediate cognitive processing. During timing tasks, one form this cognitive processing might take is time-dependent ramping activity — monotonic changes in firing rate over time. Thus, we hypothesized the prefrontal D1DR+ neurons would strongly exhibited time-dependent ramping during interval timing. We tested this idea using an interval-timing task in which we used optogenetics to tag D1DR+ neurons in the mouse medial frontal cortex (MFC). While 23% of MFC D1DR+ neurons exhibited ramping, this was significantly less than untagged MFC D1DR+ neurons. By contrast, MFC D1DR+ neurons had strong delta-frequency (1-4 Hz) coherence with other MFC ramping neurons. This coherence was phase-locked to cue onset and was strongest early in the interval. To test the significance of these interactions, we optogenetically stimulated MFC D1DR+ neurons early vs. late in the interval. We found that 2-Hz stimulation early in the interval was particularly effective in rescuing timing-related behavioral performance deficits in dopamine-depleted animals. These findings provide insight into MFC networks and have relevance for disorders such as Parkinson’s disease and schizophrenia.Significance StatementPrefrontal D1DRs are involved in cognitive processing and cognitive dysfunction in human diseases such as Parkinson’s disease and schizophrenia. We use optogenetics to identify these neurons, as well as neurons that are putatively connected to MFC D1DR+ neurons. We study these neurons in detail during an elementary cognitive task. These data could have relevance for cognitive deficits for Parkinson’s disease, schizophrenia, and other diseases involving frontal dopamine.


Perception ◽  
2019 ◽  
Vol 49 (1) ◽  
pp. 39-51
Author(s):  
Mojtaba Soltanlou ◽  
Mohammad Ali Nazari ◽  
Parisa Vahidi ◽  
Parvin Nemati

Up until now, there has been no study conducted in the field of time perception using very short intervals for a direct comparison between implicit and explicit timing tasks in order to uncover plausibly different underlying mechanisms. Therefore, the aim of this study was to compare human time estimation during implicit and explicit timing tasks with short intervals and the same method. A total of 81 adults were divided into three groups and completed two tasks with one of three different intervals: 500, 1,000, and 2,000 ms. The results revealed an overestimation for all three intervals of the implicit timing task, while participants overestimated 500 ms but underestimated 1,000 and 2,000 ms intervals of the explicit timing task. Moreover, explicit time estimation was more precise than implicit time estimation. We observed the opposite pattern as compared to a few previous studies with long intervals: Short intervals were perceived longer in the implicit timing task as compared to the explicit timing task. We concluded that nontemporal contents represent passing time during the implicit timing task but unlike temporal dimension during the explicit timing task. Therefore, even the same method of measurement led to a different performance in implicit and explicit timing tasks.


1988 ◽  
Vol 59 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Susann G. Doody ◽  
Howard N. Zelaznik
Keyword(s):  

2020 ◽  
Author(s):  
An T. Nguyen ◽  
Le‐Anne Jacobs ◽  
James R. Tresilian ◽  
Ottmar V. Lipp ◽  
Welber Marinovic
Keyword(s):  

2020 ◽  
Vol 127 (3) ◽  
pp. 571-586
Author(s):  
Ikumi Tochikura ◽  
Daisuke Sato ◽  
Daiki Imoto ◽  
Atsuo Nuruki ◽  
Koya Yamashiro ◽  
...  

Previous studies have reported that baseball players have higher than average visual information processing abilities and outstanding motor control. The speed and position of the baseball and the batter are constantly changing, leading skilled players to acquire highly accurate visual information processing and decision-making. This study sought to clarify how movement of the eyes is associated with baseball players’ higher coincident-timing task performance. We recruited 15 right-handed baseball players and 15 age-matched track and field athletes. On a computer-based coincident-timing task, we instructed participants to stop a computer image of a moving target by pressing a button at a designated point. We presented bidirectional moving targets with various velocities, presented in a random order. The targets’ moving angular velocity varied between 100, 83, 71, 63, 56, 50, and 46 deg/s. We conducted 168 repetitions (42 reps × 4 sets) of this coincident-timing task and measured participants’ eye movements during the task using Pupil Centre Corneal Reflection. Mixed-design analysis of variance results revealed participant group effects in favor of baseball players for timing absolute error and low absolute error, as predicted from prior visual processing and decision-making research with baseball players. However, in contrast to prior research, we found significantly shorter smooth-pursuit onset latency in elite baseball players, and there were no significant group differences for saccade onset and offset latencies. This may be explained by the difference in our research paradigm with mobile targets randomly presented at various velocities from the left and right. Our data showed baseball players’ higher than normal simultaneous timing execution for making decisions and movements based on visual information, even under laboratory conditions with randomly moving mobile targets.


2009 ◽  
Vol 101 (6) ◽  
pp. 3116-3125 ◽  
Author(s):  
J. Bo ◽  
R. D. Seidler

Studies have suggested that cognitive processes such as working memory and temporal control contribute to motor sequence learning. These processes engage overlapping brain regions with sequence learning, but concrete evidence has been lacking. In this study, we determined whether limits in visuospatial working memory capacity and temporal control abilities affect the temporal organization of explicitly acquired motor sequences. Participants performed an explicit sequence learning task, a visuospatial working memory task, and a continuous tapping timing task. We found that visuospatial working memory capacity, but not the CV from the timing task, correlated with the rate of motor sequence learning and the chunking pattern observed in the learned sequence. These results show that individual differences in short-term visuospatial working memory capacity, but not temporal control, predict the temporal structure of explicitly acquired motor sequences.


2004 ◽  
Vol 75 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Curt E. Magnuson ◽  
John B. Shea ◽  
Jeffrey T. Fairbrother
Keyword(s):  

1992 ◽  
Vol 63 (3) ◽  
pp. 328-334 ◽  
Author(s):  
Ben Sidaway ◽  
Malcolm Fairweather ◽  
John Powell ◽  
Greg Hall

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