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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

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Published on: January 23, 2017

An application of the active time model to multiple concurrent variable-interval schedules.

Emily Kathryn Brown¹, J Mark Cleaveland

¹Vassar College, Poughkeepsie, NY 12603, USA.

Behavioural Processes

|November 29, 2008

Summary

An active time model explains anomalous results in pigeon experiments with concurrent variable-interval schedules. This model, unlike scalar expectancy theory, accurately fits pigeon choice data.

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Area of Science:

Behavioral Psychology
Animal Cognition
Operant Conditioning

Background:

Concurrent variable-interval (VI) VI experiments with pigeons have yielded anomalous results.
Existing models struggle to fully account for these findings.

Purpose of the Study:

To investigate if an active time model can explain anomalous results in concurrent VI VI experiments.
To compare the predictive power of the active time model against a variant of scalar expectancy theory.

Main Methods:

Pigeons were trained under concurrent VI 30-s VI 30-s and VI 60-s VI 60-s schedules.
Probe trials paired VI 30-s and VI 60-s stimuli, with choices recorded.
The active time model's predictions were fitted to individual subject data.

Main Results:

Pigeons allocated choices equally between paired VI 30-s and VI 60-s stimuli during probe trials.
The active time model provided an accurate fit to individual pigeon choice data.
A variant of scalar expectancy theory did not fit the observed data.

Conclusions:

The active time model successfully accounts for anomalous findings in concurrent VI VI schedules.
The active time model offers a better explanation of choice behavior than scalar expectancy theory in this context.