Literature DB >> 11843098

How do we tell time?

Dean V Buonomano1, Uma R Karmarkar.   

Abstract

Animals time events on scales that range more than 10 orders of magnitude-from microseconds to days. This review focuses on timing that occurs in the range of tens to hundreds of milliseconds. It is within this range that virtually all the temporal cues for speech discrimination, and haptic and visual processing, occur. Additionally, on the motor side, it is on this scale that timing of fine motor movements takes place. To date, psychophysical data indicate that for many tasks there is a centralized timing mechanism, but that there are separate networks for different intervals. These data are supported by experiments that show that training to discriminate between two intervals generalizes to different modalities, but not different intervals. The mechanistic underpinnings of timing are not known. However various models have been proposed, they can be divided into labeled-line models and population clocks. In labeled-line models, different intervals are coded by activity in independent and discrete populations of neurons. In population models, time is coded by the population activity of a large group of neurons, and timing requires dynamic interaction between neurons. Population models are generally better suited for parallel processing of interval, duration, order, and sequence cues and are thus more likely to underlie timing in the range of tens to hundreds of milliseconds.

Mesh:

Year:  2002        PMID: 11843098     DOI: 10.1177/107385840200800109

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  59 in total

1.  Timing of neural responses in cortical organotypic slices.

Authors:  Dean V Buonomano
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-31       Impact factor: 11.205

2.  Temporal specificity of perceptual learning in an auditory discrimination task.

Authors:  Uma R Karmarkar; Dean V Buonomano
Journal:  Learn Mem       Date:  2003 Mar-Apr       Impact factor: 2.460

3.  Timing and causality in the generation of learned eyelid responses.

Authors:  Raudel Sánchez-Campusano; Agnès Gruart; José M Delgado-García
Journal:  Front Integr Neurosci       Date:  2011-08-30

4.  Attending points in time and space.

Authors:  Kathrin Lange; Ulrike M Krämer; Brigitte Röder
Journal:  Exp Brain Res       Date:  2006-02-28       Impact factor: 1.972

5.  Neuronal activity related to elapsed time in prefrontal cortex.

Authors:  Aldo Genovesio; Satoshi Tsujimoto; Steven P Wise
Journal:  J Neurophysiol       Date:  2006-01-18       Impact factor: 2.714

6.  Timing in the absence of clocks: encoding time in neural network states.

Authors:  Uma R Karmarkar; Dean V Buonomano
Journal:  Neuron       Date:  2007-02-01       Impact factor: 17.173

7.  An internal clock for predictive saccades is established identically by auditory or visual information.

Authors:  Wilsaan M Joiner; Jung-Eun Lee; Adrian Lasker; Mark Shelhamer
Journal:  Vision Res       Date:  2007-04-18       Impact factor: 1.886

8.  Action enhances auditory but not visual temporal sensitivity.

Authors:  Lucica Iordanescu; Marcia Grabowecky; Satoru Suzuki
Journal:  Psychon Bull Rev       Date:  2013-02

9.  A model of time estimation and error feedback in predictive timing behavior.

Authors:  Wilsaan M Joiner; Mark Shelhamer
Journal:  J Comput Neurosci       Date:  2008-06-19       Impact factor: 1.621

10.  Interval timing and Parkinson's disease: heterogeneity in temporal performance.

Authors:  Hugo Merchant; Monica Luciana; Catalina Hooper; Stacy Majestic; Paul Tuite
Journal:  Exp Brain Res       Date:  2007-09-09       Impact factor: 1.972

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