Time-order-errors and duration ranges in the Episodic Temporal Generalization task

The current model of the Episodic Temporal Generalization task, where subjects have to judge whether pairs of auditory stimuli are equal in duration, predicts that results are scale-free and unaffected by the presentation order of the stimuli. To test these predictions, we conducted three experiments assessing sub- and supra-second standards and taking presentation order into account. Proportions were spaced linearly in Experiments 1 and 2 and logarithmically in Experiment 3. Critically, we found effects of duration range and presentation order with both spacing schemes. Our results constitute the first report of presentation order effects in the Episodic Temporal Generalization task and demonstrate that future studies should always consider duration range, number of trials and presentation order as crucial factors modulating performance.

[1]  T. Rammsayer,et al.  Time-order errors and standard-position effects in duration discrimination: An experimental study and an analysis by the sensation-weighting model , 2015, Attention, perception & psychophysics.

[2]  Yan Bao,et al.  Editorial: Sub- and Supra-Second Timing: Brain, Learning and Development , 2016, Front. Psychol..

[3]  J H Wearden,et al.  Episodic temporal generalization: A developmental study , 2005, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[4]  J H Wearden,et al.  Scalar timing in temporal generalization in humans with longer stimulus durations. , 1997, Journal of experimental psychology. Animal behavior processes.

[5]  Å. Hellström,et al.  Sensation weighting in comparison and discrimination of heaviness. , 2000, Journal of experimental psychology. Human perception and performance.

[6]  D. Buonomano,et al.  Neural dynamics of in vitro cortical networks reflects experienced temporal patterns , 2010, Nature Neuroscience.

[7]  P. Tse,et al.  Time and the Brain: How Subjective Time Relates to Neural Time , 2005 .

[8]  G. R. Patching,et al.  Time- and space-order effects in timed discrimination of brightness and size of paired visual stimuli. , 2012, Journal of experimental psychology. Human perception and performance.

[9]  Å. Hellström Time errors and differential sensation weighting. , 1979, Journal of experimental psychology. Human perception and performance.

[10]  R. Ulrich,et al.  Trial-by-trial updating of an internal reference in discrimination tasks: Evidence from effects of stimulus order and trial sequence , 2012, Attention, Perception, & Psychophysics.

[11]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[12]  J. Falmagne Elements of psychophysical theory , 1985 .

[13]  John E. Schlerf,et al.  Dedicated and intrinsic models of time perception , 2008, Trends in Cognitive Sciences.

[14]  John H Wearden,et al.  Decision processes in models of timing. , 2004, Acta neurobiologiae experimentalis.

[15]  D. Dennett,et al.  Time and the Observer: the Where and When of Consciousness in the Brain Endnote 1 , 1995 .

[16]  R. Ulrich,et al.  Effects of stimulus order on discrimination sensitivity for short and long durations , 2015, Attention, perception & psychophysics.

[17]  J H Wearden,et al.  Scalar timing without reference memory? Episodic temporal generalization and bisection in humans , 2001, The Quarterly journal of experimental psychology. B, Comparative and physiological psychology.

[18]  Simon Grondin,et al.  When to start explicit counting in a time-intervals discrimination task: A critical point in the timing process of humans. , 1999 .

[19]  Metod Saniga,et al.  The Nature of Time: Geometry, Physics and Perception (NATO ARW) , 2003 .

[20]  R. Bakeman Recommended effect size statistics for repeated measures designs , 2005, Behavior research methods.

[21]  F. Jean,et al.  Why Don't We Move Slower? The Value of Time in the Neural Control of Action , 2016, The Journal of Neuroscience.

[22]  Ake Hellstrom,et al.  The time-order error and its relatives: Mirrors of cognitive processes in comparing. , 1985 .

[23]  J. Wearden,et al.  Temporal generalizations in humans: Three further studies , 1994, Behavioural Processes.

[24]  Hugo Merchant,et al.  Do we have a common mechanism for measuring time in the hundreds of millisecond range? Evidence from multiple-interval timing tasks. , 2008, Journal of neurophysiology.

[25]  P. Dixon Models of accuracy in repeated-measures designs , 2008 .

[26]  T. Jaeger,et al.  Categorical Data Analysis: Away from ANOVAs (transformation or not) and towards Logit Mixed Models. , 2008, Journal of memory and language.

[27]  M. García-Pérez,et al.  Does time ever fly or slow down? The difficult interpretation of psychophysical data on time perception , 2014, Front. Hum. Neurosci..

[28]  Simon Grondin,et al.  About the (non)scalar property for time perception. , 2014, Advances in experimental medicine and biology.

[29]  Stefan J Troche,et al.  Elucidating the internal structure of psychophysical timing performance in the sub-second and second range by utilizing confirmatory factor analysis. , 2014, Advances in experimental medicine and biology.

[30]  R. Ulrich,et al.  Effects of Stimulus Order on Discrimination Processes in Comparative and Equality Judgements: Data and Models , 2014, Quarterly journal of experimental psychology.

[31]  Å. Hellström Comparison is not just subtraction: Effects of time- and space-order on subjective stimulus difference , 2003, Perception & psychophysics.

[32]  J H Wearden,et al.  Slowing down an Internal Clock: Implications for Accounts of Performance on four Timing Tasks , 2008, Quarterly journal of experimental psychology.

[33]  J. Wearden,et al.  Scalar Properties in Animal Timing: Conformity and Violations , 2006, Quarterly journal of experimental psychology.

[34]  R M Church,et al.  Temporal generalization. , 1982, Journal of experimental psychology. Animal behavior processes.

[35]  Stefan J. Troche,et al.  In search of the internal structure of the processes underlying interval timing in the sub-second and the second range: a confirmatory factor analysis approach. , 2014, Acta psychologica.

[36]  Angelo Montanari,et al.  Temporal representation and reasoning in artificial intelligence: Issues and approaches , 2000, Annals of Mathematics and Artificial Intelligence.

[37]  A. Nobre,et al.  Time in Cortical Circuits , 2015, The Journal of Neuroscience.

[38]  György Buzsáki,et al.  Cognitive neuroscience: Time, space and memory , 2013, Nature.

[39]  S. Grondin Timing and time perception: A review of recent behavioral and neuroscience findings and theoretical directions , 2010, Attention, perception & psychophysics.

[40]  Melissa J. Allman,et al.  Pathophysiological distortions in time perception and timed performance. , 2012, Brain : a journal of neurology.

[41]  J. Wearden Temporal generalization in humans. , 1992 .