SCORIT: A computer subroutine for scoring electrodermal responses

Prokasy, William F.

doi:10.3758/bf03200288

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…The simplest interpretation is that CS-UCS pairing raised overall response rates but had a greater impact on responding to the CS, although more indirect possibilities (e.g., that CS-elicited responding is multiple over a lengthy period of time) are not ruled out. The important point to this outcome is that it identifies yet another source of potential difficulty in interpreting the results of single-cue SCR conditioning studies (see also Badia &Defran, 1970, andProkasy &Kumpfer, 1973, PP.166-l72).…”

Section: Discussion Ucr Performancementioning

confidence: 99%

“…In addition, sudden changes in slope on the initial or return limb of a response in progress were also identified as responses. Details on criteria are provided in Prokasy (1974).…”

Section: Response Measurementmentioning

confidence: 99%

“…In addition, in all groups IS II-sec time samples were taken between trials at a minimum of IS sec after the preceding signal. The 49 II-sec trial protocols for each group were scored by a UNIVAC 1108 computer using the subroutine SCORIT (Prokasy, 1974). SCORIT classified as responses all departures from baseline which had an amplitude of at least 156 ohms and which lasted at least .5 sec.…”

Section: Response Measurementmentioning

confidence: 99%

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Skin conductance response conditioning with CS intensities equal to and greater than UCS intensity

1975

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With .2-sec bursts of white noise as both conditioned stimulus (CS) and unconditioned stimulus (DCS), conditioning of first-interval skin conductance responses was obtained when the intensity of the CS equaled and exceeded that of the DCS. There was no evidence that second-interval response conditioning occurred. Nonspecific response frequencies were also affected by the variations in stimulus intensity, this raising some question about typical controls employed in SCR conditioning. There was some evidence that second interval responses were suppressed by the intense CS values. It was concluded that the existence of simple conditioning with a CS/DCS intensity ratio equal to or greater than unity was contrary to the Pavlovian proposition that a CS must be biologically less salient than the DCS in order for conditioning to occur. It was noted, however, that the suppression of second-interval responses might indicate that anticipatory CRs which are not confounded with orienting reflexes are prevented from exhibiting a conditioning effect when a high CS/DCS intensity ratio is employed.

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Section: Discussion Ucr Performancementioning

confidence: 99%

“…In addition, sudden changes in slope on the initial or return limb of a response in progress were also identified as responses. Details on criteria are provided in Prokasy (1974).…”

Section: Response Measurementmentioning

confidence: 99%

Section: Response Measurementmentioning

confidence: 99%

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Skin conductance response conditioning with CS intensities equal to and greater than UCS intensity

1975

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“…were taken in the absence of any signal and at least 15 sec following any preceding signal). The 11-sec protocols Apparatus ^^^^ ^^^^^ ^^ ^ UNIVAC 1108 computer using the sub-Skin resistance was recorded from the thenar and ulnar routine SCOWT (Prokasy, 1974). The SCORTT subrouhypotiienar areas of the right palm using standard Beck-dne classified as responses all dqjartures from baseline man Biopotential Ag/AgCl electrodes filled with a .…”

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confidence: 99%

Classical Skin Conductance Response Conditioning: Effects of Random Intermittent Reinforcement

Williams

Prokasy

1977

Psychophysiology

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To assess some implications of incremental‐decremental learning theories for classical conditioning, skin conductance response conditioning in humans was examined as a function of reinforcement schedule. First anticipatory responses (FARs: latency from 1.0 to 3.5 sec after signal onset) were not affected by reinforcement ratio, but, during the first half of training, the probability of second anticipatory responses (SARs: latency from 3.6 to 7.0 sec after signal onset) increased with increases in reinforcement ratio. FAR and SAR probabilities decreased across sequences of successively reinforced trials and increased across sequences of successively nonreinforced trials. These results are incompatible with the theoretical expectation that response likelihood should increase following reinforced trials and decrease following nonreinforced trials. Alternative accounts of the results are discussed.

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“…Disadvantages of these programs are the cost and the fact that they are offered along with particular hardware instrumentation. Examples of noncommercial programs are SCORIT (Prokasy, 1974), SCRGAUGE (Boucsein, 1992), software as described by Storm, Fremming, Ødegården, Martinsen, and Mørkrid (2000), SCORES (Lim et al, 1999), and PSAAL (Angrilli, 1995). Most often, these software programs are written for one particular psychophysiological signal and do not allow the analysis of multiple signals and/or their interaction.…”

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confidence: 99%

Psychophysiological Analysis (PSPHA): A modular script-based program for analyzing psychophysiological data

Clercq

Verschuere

Vlieger

et al. 2006

Behavior Research Methods

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In psychophysiological research, complex tailor-made and interactive analyses of biosignals (e.g., skin conductance, heart rate, and respiration) are often required. Moreover, a synchronization between experimental stimuli and psychophysiolgical responses is necessary. In this article, we present Psychophysiological Analysis (PSPHA), a modular script-based program for analyzing biosignals in the time domain. The modules can be integrated in a VBScript, and a wizard allows easy adaption of parameters. PSPHA is a free, interactive, and flexible program for analyzing the data of psychophysiological experiments.Behavior Research Methods 2006, 38 (3), [504][505][506][507][508][509][510] A PROGRAM FOR ANALYZING PSYCHOPHYSIOLOGICAL DATA 505 (ECG) signal or the depth of breathing (amplitude). Other functions may, however, be easily added and implemented using VBScript. After parameter extraction, the physiological parameters are stored as internal markers (e.g., MIN, MAX, . . .) and added to the screen. This strategy allows the experimenter to visually inspect and correct the data and the proposed parameters. Finally, the data and parameter output are converted to any format for processing by statistical packages.PSPHA is written in Visual Basic and VBScript. We have created a number of predefined scripts that probably are applicable in most psychophysiological experiments. An example of a predefined script will be discussed in the User Interface section. The VBScripts can, however, be modified by the user for particular applications. Figure 2 shows that a number of PSPHA parameters can be changed directly without need to reprogram VBScripts. Object-Based ConceptPSPHA uses a hierarchical object-oriented approach for storing and analyzing data. Data are read in the program as a collection of trial objects. Each trial object consists of a collection of parameters for storing general information (e.g., trial number, participant number, and SCR amplitude) and a collection of data objects, one for each physiological channel. The data object contains the binary data but also marker objects. Marker objects are of crucial importance for data reduction. Experimental markers indicate the occurrence of an external event. Internal markers refer to calculated items, such as minima and maxima.The object approach is maintained for data storage by using the XML format. XML (World Wide Web Consortium, 2005) is a standard way of defining formats for and storing semistructured data. Storing data in XML format has the advantage that their structure may be examined by using a Web browser such as Microsoft Internet Explorer. Because all the data are presented in textual form, the file length is larger than when data are stored in binary form. The size is approximately 2.5 times larger, but this is no problem for current PCs. MarkersData analysis is based on the markers. Markers are objects with a time attribute. Experimental markers represent time properties of external events, such as the beginning of a trial, the end of a trial, or the be...

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SCORIT: A computer subroutine for scoring electrodermal responses

Cited by 10 publications

References 5 publications

Skin conductance response conditioning with CS intensities equal to and greater than UCS intensity

Skin conductance response conditioning with CS intensities equal to and greater than UCS intensity

Classical Skin Conductance Response Conditioning: Effects of Random Intermittent Reinforcement

Psychophysiological Analysis (PSPHA): A modular script-based program for analyzing psychophysiological data

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