scholarly journals The effect of warning interval on signal detection and event-related slow potentials of the brain

1975 ◽  
Vol 17 (6) ◽  
pp. 565-570 ◽  
Author(s):  
N. E. Loveless
Keyword(s):  
Signal Detection ◽  
Slow Potentials ◽  
Warning Interval ◽  
The Brain

Biofeedback of Event-Related Slow Potentials of the Brain

1981 ◽  
Vol 16 (1-4) ◽  
pp. 389-415 ◽  
Author(s):  
Niels Birbaumer ◽  
Thomas Elbert ◽  
Brigitte Rockstroh ◽  
Werner Lutzenberger
Keyword(s):  
Slow Potentials ◽  
The Brain

Division of attention and the decision theory of signal detection

1963 ◽  
Vol 158 (971) ◽  
pp. 222-231 ◽  
Keyword(s):  
Decision Theory ◽  
Signal Detection ◽  
The Other ◽  
Subjective Probabilities ◽  
Statistical Decision ◽  
Degree Of Confidence ◽  
The Brain ◽  
Random Variation

Ten men were asked to listen to bursts of noise which were presented to one ear, and which might or might not contain a tone. The other ear received 6 digit numbers simultaneously. The listeners reported their degree of confidence that a tone was present; in one condition they ignored the numbers and in another condition they had to report them as well as their judgement about the tone. In the latter condition they reported the tone with confidence slightly less often when it was present, but also reported it more often when it was in fact absent. Analysis of the results, by a model which supposes the brain to detect signals by a statistical decision, shows that one parameter, β , is unchanged by division of attention. This parameter measures the subjective probabilities and values associated with signal as opposed to non ­signal. Another parameter, d ', changes when attention is divided. This quantity measures the strength of the signal relative to the random variation within the system . It is concluded that diversion of attention away from a stimulus produces an effect resembling a reduction in the intensity of the stimulus. The ignored event is therefore not blocked altogether and under suitable conditions may nevertheless produce a response from an observer.

Electrogenesis of Slow Potentials of the Brain

1984 ◽  
pp. 26-41 ◽  
Author(s):  
Heinz Caspers ◽  
Erwin-Josef Speckmann ◽  
A. Lehmenkühler
Keyword(s):  
Slow Potentials ◽  
The Brain

scholarly journals Unbounded evidence accumulation characterizes subjective visual vertical forced-choice perceptual choice and confidence

2017 ◽  
Vol 118 (5) ◽  
pp. 2636-2653 ◽  
Author(s):  
Koeun Lim ◽  
Wei Wang ◽  
Daniel M. Merfeld
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Forced Choice ◽  
Binary Choice ◽  
Subjective Visual Vertical ◽  
Drift Diffusion ◽  
Evidence Accumulation ◽  
Visual Vertical ◽  
The Brain

Humans can subjectively yet quantitatively assess choice confidence based on perceptual precision even when a perceptual decision is made without an immediate reward or feedback. However, surprisingly little is known about choice confidence. Here we investigate the dynamics of choice confidence by merging two parallel conceptual frameworks of decision making, signal detection theory and sequential analyses (i.e., drift-diffusion modeling). Specifically, to capture end-point statistics of binary choice and confidence, we built on a previous study that defined choice confidence in terms of psychophysics derived from signal detection theory. At the same time, we augmented this mathematical model to include accumulator dynamics of a drift-diffusion model to characterize the time dependence of the choice behaviors in a standard forced-choice paradigm in which stimulus duration is controlled by the operator. Human subjects performed a subjective visual vertical task, simultaneously reporting binary orientation choice and probabilistic confidence. Both binary choice and confidence experimental data displayed statistics and dynamics consistent with both signal detection theory and evidence accumulation, respectively. Specifically, the computational simulations showed that the unbounded evidence accumulator model fits the confidence data better than the classical bounded model, while bounded and unbounded models were indistinguishable for binary choice data. These results suggest that the brain can utilize mechanisms consistent with signal detection theory—especially when judging confidence without time pressure. NEW & NOTEWORTHY We found that choice confidence data show dynamics consistent with evidence accumulation for a forced-choice subjective visual vertical task. We also found that the evidence accumulation appeared unbounded when judging confidence, which suggests that the brain utilizes mechanisms consistent with signal detection theory to determine choice confidence.

Sign in / Sign up

Export Citation Format

Share Document