Modulation of frontal and parietal neuronal activity by visuomotor learning. An ERP analysis of implicit and explicit pursuit tracking tasks

2014 ◽  
Vol 91 (3) ◽  
pp. 212-224 ◽  
Author(s):  
Holger Hill
1979 ◽  
Vol 23 (1) ◽  
pp. 568-572 ◽  
Author(s):  
Tarald O. Kvålseth

Information-theory statistics were used as performance measures during selfpaced pursuit tracking tasks with a time-discrete band-limited white Gaussian noise reference input and both time-discrete and time-continuous response signals. The experimental results from 64 subjects showed that the generated information rate increased exponentially with increasing input variance or input entropy. The spacing between successive input points had no general significant effects on the information rate. Discrete responses produced significantly higher information rates than continuous responses. The maximum information capacity was determined to be centered at about 10 bits/sec with asymptotes at about 11 bits/sec for discrete responses and 9 bits/sec for continuous responses.


Author(s):  
Maxim C. Vos ◽  
Daan M. Pool ◽  
Herman J. Damveld ◽  
Marinus M. van Paassen ◽  
Max Mulder

1997 ◽  
Vol 28 ◽  
pp. S252 ◽  
Author(s):  
Bao-Ming Li ◽  
Masahiko Inase ◽  
Ichiro Takashima ◽  
Toshio Iijima

2003 ◽  
Vol 153 (2) ◽  
pp. 190-196 ◽  
Author(s):  
Fadila Hadj-Bouziane ◽  
Driss Boussaoud

1991 ◽  
Vol 73 (1) ◽  
pp. 255-264 ◽  
Author(s):  
G. W. Kunsman ◽  
J. E. Manno ◽  
M. A. Przekop ◽  
B. R. Manno

The Pursuit Meter III (PM III) and the Simultaneous Hand and Foot Tracking (SHAFT) task are microcomputer-based devices for the evaluation of human psychomotor performance. Both devices are pursuit-tracking tasks. The primary task (PM III) requires a subject superimpose a line over a computer-generated sine wave. The computer wave is black and the subject's wave is red. The vertical position of the subject's wave is determined by a joystick controller. The SHAFT adds a second simultaneous tracking task (FTT) that is operated by means of a foot control. Ten naive subjects performed either device for 5 sessions/day over a three-day period. Each session consisted of 5 sweeps of the sine wave pattern. Mean performance on both tasks generally improved over the assessment period, and differential stability was reached within 10 sweeps for each device.


2008 ◽  
Vol 24 (4) ◽  
pp. 254-262 ◽  
Author(s):  
Tobias Gschwendner ◽  
Wilhelm Hofmann ◽  
Manfred Schmitt

In the present study we applied a validation strategy for implicit measures like the IAT, which complements multitrait-multimethod (MTMM) analyses. As the measurement method (implicit vs. explicit) and underlying representation format (associative vs. propositional) are often confounded, the validation of implicit measures has to go beyond MTMM analysis and requires substantive theoretical models. In the present study (N = 133), we employed such a model ( Hofmann, Gschwendner, Nosek, & Schmitt, 2005 ) and investigated two moderator constructs in the realm of anxiety: specificity similarity and content similarity. In the first session, different general and specific anxiety measures were administered, among them an Implicit Association Test (IAT) general anxiety, an IAT-spider anxiety, and an IAT that assesses speech anxiety. In the second session, participants had to deliver a speech and behavioral indicators of speech anxiety were measured. Results showed that (a) implicit and explicit anxiety measures correlated significantly only on the same specification level and if they measured the same content, and (b) specific anxiety measures best predicted concrete anxious behavior. These results are discussed regarding the validation of implicit measures.


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