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Whenever next: Hierarchical timing of perception and action

Published online by Cambridge University Press:  10 May 2013

Linus Holm  and
Guy Madison
Linus Holm
Affiliation:
Department of Psychology, University of Umeå, 901 87 Umeå, Sweden. [email protected]@psy.umu.sehttp://www.psy.umu.se/om-institutionen/personal/guy-madison
Guy Madison
Affiliation:
Department of Psychology, University of Umeå, 901 87 Umeå, Sweden. [email protected]@psy.umu.sehttp://www.psy.umu.se/om-institutionen/personal/guy-madison
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Abstract

The target article focuses on the predictive coding of “what” and “where” something happened and the “where” and “what” response to make. We extend that scope by addressing the “when” aspect of perception and action. Successful interaction with the environment requires predictions of everything from millisecond-accurate motor timing to far future events. The hierarchical framework seems appropriate for timing.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 217 - 218
Copyright
Copyright © Cambridge University Press 2013 

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References

Brown, S. (2003) Biomusicology and the three paradoxes about music. Bulletin of Psychology and the Arts 4:14–17.Google Scholar
Buhusi, C. V. & Meck, W. H. (2005) What makes us tick? Functional and neural mechanisms of interval timing. Nature Reviews: Neuroscience 6:755–65.Google Scholar
Burr, D., Tozzi, A. & Morrone, C. (2007) Neural mechanisms for timing visual events are spatially selective in real-world coordinates. Nature Neuroscience 10:423–25.Google Scholar
Demos, A. P., Chaffin, R., Begosh, K. T., Daniels, J. R. & Marsh, K. L. (2012) Rocking to the beat: Effects of music and partner's movements on spontaneous interpersonal coordination. Journal of Experimental Psychology: General 141:49–53.Google Scholar
Galton, F. (1883) Inquires into human faculty and its development. MacMillan.CrossRefGoogle Scholar
Gooch, C. M., Wiener, M., Hamilton, C. A. & Coslett, B. H. (2001) Temporal discrimination of sub- and suprasecond time intervals: A voxel-based lesion mapping analysis. Frontiers in Integrative Neuroscience 5:1–10.Google Scholar
Grahn, J. A. & McAuley, J. D. (2009) Neural bases of individual differences in beat perception. NeuroImage 47:1894–1903.Google Scholar
Harman, K., Humphrey, K. G. & Goodale, M. A. (1999) Active manual control of object views facilitates visual recognition. Current Biology 9:1315–18.Google Scholar
Harrison, L. M., Bestmann, S., Rosa, M. J., Penny, W. & Green, G. G. R. (2011) Time scales of representation in the human brain: Weighing past information to predict future events. Frontiers in Human Neuroscience 5:1–8.Google Scholar
Holm, L., Ullén, F. & Madison, G. (in press) Motor and executive control in repetitive timing of brief intervals. Journal of Experimental Psychology: Human Perception and Performance. doi 10.1037/a0029142.Google Scholar
Jahanshahi, M., Dirnberger, G., Fuller, R. & Frith, C. D. (2000) The role of the dorsolateral prefrontal cortex in random number generation: A study with positron emission tomography. NeuroImage 12:713–25.Google Scholar
Johnston, A., Arnold, D. H. & Nishida, S. (2006) Spatially localized distortions of time. Current Biology 16:472–79.Google Scholar
Karmarkar, U. R & Buonomano, D. V. (2007) Timing in the absence of clocks: Encoding time in neural network states. Neuron 53:427–38.CrossRefGoogle ScholarPubMed
Ladinig, O., Honing, H., Haden, G. & Winkler, I. (2009) Probing attentive and preattentive emergent meter in adult listeners without extensive music training. Music Perception 26:377–86.Google Scholar
Lewis, P. A. & Miall, R. C. (2003) Distinct systems for automatic and cognitively controlled time measurement: Evidence from neuroimaging. Current Opinion in Neurobiology 13:250–55.Google Scholar
Lewis, P. A. & Miall, R. C. (2006) A right hemispheric prefrontal system for cognitive time measurement. Behavioural Processes 71:226–234.CrossRefGoogle ScholarPubMed
Madison, G. (2001) Variability in isochronous tapping: Higher-order dependencies as a function of inter tap interval. Journal of Experimental Psychology: Human Perception and Performance 27:411–22.Google Scholar
Madison, G., Forsman, L., Blom, Ö., Karabanov, A. & Ullén, F. (2009) Correlations between general intelligence and components of serial timing variability. Intelligence 37:68–75.CrossRefGoogle Scholar
Matell, M. S. & Meck, W. H. (2004) Cortico-striatal circuits and interval timing: Coincidence detection of oscillatory processes. Cognitive Brain Research 21:139–70.Google Scholar
Merker, B. H., Madison, G. S. & Eckerdal, P. (2009) On the role and origin of isochrony in human rhythmic entrainment. Cortex 45:4–17.Google Scholar
Miall, R. C. (1989) The storage of time intervals using oscillating neurons. Neural Computation 1:359–71.CrossRefGoogle Scholar
Morrone, C. M., Ross, J. & Burr, D. (2005) Saccadic eye movements cause compression of time as well as space. Nature Neuroscience 8:950–54.Google Scholar
Nagarajan, S. S., Blake, D. T., Wright, B. A., Byl, N. & Merzenich, M. M. (1998) Practice-related improvements are temporally specific but generalize across skin location, hemisphere and modality. Journal of Neuroscience 18:1559–70.Google Scholar
Owen, A. M., McMillan, K. M., Laird, A. R. & Bullmore, E. (2005) N-back working memory paradigm: A meta-analysis of normative functional neuroimaging studies. Human Brain Mapping 25:46–59.Google Scholar
Phillips-Silver, J. & Trainor, L. J. (2007) Hearing what the body feels: Auditory encoding of rhythmic movement. Cognition 105:533–46.Google Scholar
Rammsayer, T. (1999) Neuropharmacological evidence for different timing mechanisms in humans. The Quarterly Journal of Experimental Psychology, Section B: Comparative and Physiological Psychology 52:273–86.Google Scholar
Simons, J. S., Schölvinck, M. L., Gilbert, S. J., Frith, C. D. & Burgess, P. W. (2006) Differential components of prospective memory? Evidence from fMRI. Neuropsychologia 4:1388–97.Google Scholar