Detection threshold microstructure and its effect on temporal integration data

1982 ◽  
Vol 71 (2) ◽  
pp. 405-409 ◽  
Author(s):  
Marion F. Cohen
Keyword(s):  
Temporal Integration ◽  
Detection Threshold ◽  
Integration Data

Temporal Integration and the Masking Effect of Spatiotemporal Noise

Perception ◽  
1997 ◽  
Vol 26 (1_suppl) ◽  
pp. 216-216 ◽  
Author(s):  
H T Kukkonen ◽  
J Rovamo
Keyword(s):  
Spectral Density ◽  
Exposure Duration ◽  
Temporal Integration ◽  
Detection Threshold ◽  
Critical Duration ◽  
Masking Effect ◽  
Integration Time ◽  
Detection Thresholds ◽  
Spatial Noise ◽  
Spatiotemporal Noise

In computer-generated spatiotemporal noise every stimulus frame contains a new static noise sample. The spectral density of white spatiotemporal noise is calculated by multiplying the squared rms contrast of noise by the product of the noise check area and the exposure duration of each noise check. When the exposure duration of each noise check is gradually increased, the spectral density of spatiotemporal noise increases, reaching its maximum when noise becomes static. In static spatial noise both stimulus and noise checks have the same duration. The signal-to-noise ratio is known to be constant at detection threshold. Detection thresholds should thus increase in proportion to the spectral density of spatiotemporal noise, which increases with the duration of the noise checks. We measured detection thresholds for stationary cosine gratings embedded in spatiotemporal noise. The exposure duration of the noise checks was increased from one frame duration to the total exposure duration of the stimulus grating. Noise was thus gradually transformed from spatiotemporal to static spatial noise. The contrast energy threshold increased in proportion to the spectral density of spatiotemporal noise up to a noise check duration found to be equal to the integration time for the stimulus grating without noise. After this, energy thresholds remained constant in spite of the increase in the spectral density of spatiotemporal noise. This suggests that the masking effect of spatiotemporal noise increases with the duration of noise checks up to the critical duration marking the saturation of the temporal integration of the signal.

Stimulus Duration and Frequency Discrimination for Normal-Hearing and Hearing-Impaired Subjects

1984 ◽  
Vol 27 (2) ◽  
pp. 252-256 ◽  
Author(s):  
Joseph W. Hall ◽  
Elizabeth J. Wood
Keyword(s):  
Stimulus Duration ◽  
Temporal Integration ◽  
Detection Threshold ◽  
Frequency Discrimination ◽  
Normal Hearing ◽  
Hearing Impaired ◽  
Frequency Difference ◽  
Impaired Group ◽  
Overall Performance ◽  
Pure Tones

Frequency discrimination for 500- and 2000-Hz pure tones at durations of 5, 10, 20, 50, and 200 ms was determined for 10 normal-hearing and 10 cochlear-impaired listeners. Listeners from both groups demonstrated monotonic increases in frequency difference limens as stimulus duration decreased. The functions of the hearing-impaired listeners were parallel to those of the normal-hearing listeners for stimulus durations between 10 and 200 ms, but the overall performance of the hearing-impaired group was poorer than that of the normal-hearing group. The functions of many of the cochlear-impaired subjects were less steep than normal for the shortest durations tested (between 5 and l0 ms). There appeared to be no relation between temporal integration for frequency discrimination and temporal integration for detection threshold. The results are discussed in terms of processes of temporal integration and frequency selectivity.

Temporal Integration: I. Clinical Implications of a Laboratory Study. II. Additional Data from Hearing-Impaired Subjects

1971 ◽  
Vol 36 (2) ◽  
pp. 213-224 ◽  
Author(s):  
Roy W. Gengel ◽  
Charles S. Watson
Keyword(s):  
Hearing Impairment ◽  
Additional Data ◽  
Temporal Integration ◽  
Measurement Procedure ◽  
Repeated Measurements ◽  
Sensorineural Hearing ◽  
Integration Time ◽  
Sensorineural Hearing Impairment ◽  
Single Standard ◽  
Integration Data

The two purposes of this report are to discuss three problems that clinicians should consider when they use temporal integration data for diagnostic purposes and to provide additional data on temporal integration in persons with sensorineural hearing impairment. The first problem which must be considered stems from evidence that, for persons with normal sensitivity as well as persons with sensorineural hearing impairment, integration time is dependent on frequency. Therefore, before making inferences about atypical temporal integration, norms should be established for each test frequency. The second problem stems from evidence that an individual can show considerable variability when repeated measurements of temporal integration are made. Therefore, until a highly reliable measurement procedure is found, several determinations of the temporal integration function should be made. The third problem stems from evidence that integration time can differ when different psychophysical procedures are used. These differences, due to method of measurement, lead to very different interpretations of temporal integration data. Therefore, it is suggested that a single, standard clinical procedure for measuring temporal integration be developed. The second half of the report gives temporal integration data from eight persons with sensorineural hearing-impairment who show a wide variety of audiometric configurations.

Temporal Integration in Pavlovian Appetitive Conditioning

2004 ◽  
Author(s):  
Kosuke Sawa ◽  
Kenneth Leising ◽  
Aaron P. Blaisdell
Keyword(s):  
Temporal Integration ◽  
Appetitive Conditioning

Detection threshold for electric shock in psychopaths.

1968 ◽  
Vol 73 (3, Pt.1) ◽  
pp. 268-272 ◽  
Author(s):  
Robert D. Hare
Keyword(s):  
Electric Shock ◽  
Detection Threshold
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