Literature DB >> 19487189

Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network model.

Dean V Buonomano1, Jennifer Bramen, Mahsa Khodadadifar.   

Abstract

The ability to determine the interval and duration of sensory events is fundamental to most forms of sensory processing, including speech and music perception. Recent experimental data support the notion that different mechanisms underlie temporal processing in the subsecond and suprasecond range. Here, we examine the predictions of one class of subsecond timing models: state-dependent networks. We establish that the interval between the comparison and the test interval, interstimulus interval (ISI), in a two-interval forced-choice discrimination task, alters the accuracy of interval discrimination but not the point of subjective equality-i.e. while timing was impaired, subjective time contraction or expansion was not observed. We also examined whether the deficit in temporal processing produced by short ISIs can be reduced by learning, and determined the generalization patterns. These results show that training subjects on a task using a short or long ISI produces dramatically different generalization patterns, suggesting different forms of perceptual learning are being engaged. Together, our results are consistent with the notion that timing in the range of hundreds of milliseconds is local as opposed to centralized, and that rapid stimulus presentation rates impair temporal discrimination. This interference is, however, decreased if the stimuli are presented to different sensory channels.

Mesh:

Year:  2009        PMID: 19487189      PMCID: PMC2685819          DOI: 10.1098/rstb.2009.0019

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  59 in total

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Review 4.  The neural basis of perceptual learning.

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Journal:  Neuron       Date:  2001-09-13       Impact factor: 17.173

5.  Motor timing learned without motor training.

Authors:  D V Meegan; R N Aslin; R A Jacobs
Journal:  Nat Neurosci       Date:  2000-09       Impact factor: 24.884

6.  Mechanisms and significance of spike-timing dependent plasticity.

Authors:  Uma R Karmarkar; Mark T Najarian; Dean V Buonomano
Journal:  Biol Cybern       Date:  2002-12       Impact factor: 2.086

7.  Discrimination of short time intervals by the human observer.

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Journal:  Exp Brain Res       Date:  1999-11       Impact factor: 1.972

Review 8.  Evaluating dedicated and intrinsic models of temporal encoding by varying context.

Authors:  Rebecca M C Spencer; Uma Karmarkar; Richard B Ivry
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-07-12       Impact factor: 6.237

Review 9.  Circadian rhythms from flies to human.

Authors:  Satchidananda Panda; John B Hogenesch; Steve A Kay
Journal:  Nature       Date:  2002-05-16       Impact factor: 49.962

10.  Differential effects of short- and long-term potentiation on cell firing in the CA1 region of the hippocampus.

Authors:  Carrie P Marder; Dean V Buonomano
Journal:  J Neurosci       Date:  2003-01-01       Impact factor: 6.167

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  21 in total

1.  Ketamine perturbs perception of the flow of time in healthy volunteers.

Authors:  Jennifer T Coull; Hannah Morgan; Victoria C Cambridge; James W Moore; Francesco Giorlando; Ram Adapa; Philip R Corlett; Paul C Fletcher
Journal:  Psychopharmacology (Berl)       Date:  2011-05-21       Impact factor: 4.530

Review 2.  The inner sense of time: how the brain creates a representation of duration.

Authors:  Marc Wittmann
Journal:  Nat Rev Neurosci       Date:  2013-02-13       Impact factor: 34.870

3.  The experience of time: neural mechanisms and the interplay of emotion, cognition and embodiment.

Authors:  Marc Wittmann; Virginie van Wassenhove
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-07-12       Impact factor: 6.237

4.  GABA predicts time perception.

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Journal:  J Neurosci       Date:  2014-03-19       Impact factor: 6.167

5.  The sensory representation of time.

Authors:  Domenica Bueti
Journal:  Front Integr Neurosci       Date:  2011-08-08

6.  Defining the contributions of network clock models to millisecond timing.

Authors:  Uma R Karmarkar
Journal:  Front Integr Neurosci       Date:  2011-08-18

Review 7.  Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments.

Authors:  Anubhuti Goel; Dean V Buonomano
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-01-20       Impact factor: 6.237

8.  Trading speed and accuracy by coding time: a coupled-circuit cortical model.

Authors:  Dominic Standage; Hongzhi You; Da-Hui Wang; Michael C Dorris
Journal:  PLoS Comput Biol       Date:  2013-04-04       Impact factor: 4.475

Review 9.  Time perception: the bad news and the good.

Authors:  William J Matthews; Warren H Meck
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2014-07

10.  Visual-auditory differences in duration discrimination of intervals in the subsecond and second range.

Authors:  Thomas H Rammsayer; Natalie Borter; Stefan J Troche
Journal:  Front Psychol       Date:  2015-10-26
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