Literature DB >> 15073507

Neural representation of interval time.

Daniel Durstewitz1.   

Abstract

Animals can predict the time of occurrence of a forthcoming event relative to a preceding stimulus, i.e. the interval time between those two, given previous learning experience with the temporal contingency between them. Accumulating evidence suggests that a particular pattern of neural activity observed during tasks involving fixed temporal intervals might carry interval time information: the activity of some cortical and subcortical neurons ramps up slowly and linearly during the interval, like a temporal integrator, and peaks around the time at which the event is due to occur. The slope of this climbing activity, and hence the peak time, adjusts to the length of a temporal interval during repetitive experience with it. Various neural mechanisms for producing climbing activity with variable slopes, representing the length of learned intervals, are discussed.

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Year:  2004        PMID: 15073507     DOI: 10.1097/00001756-200404090-00001

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  32 in total

1.  A single spiking neuron that can represent interval timing: analysis, plasticity and multi-stability.

Authors:  Harel Z Shouval; Jeffrey P Gavornik
Journal:  J Comput Neurosci       Date:  2010-09-09       Impact factor: 1.621

2.  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

3.  A neurocomputational model for optimal temporal processing.

Authors:  Joachim Hass; Stefan Blaschke; Thomas Rammsayer; J Michael Herrmann
Journal:  J Comput Neurosci       Date:  2008-04-01       Impact factor: 1.621

4.  Alternative time representation in dopamine models.

Authors:  François Rivest; John F Kalaska; Yoshua Bengio
Journal:  J Comput Neurosci       Date:  2009-10-22       Impact factor: 1.621

Review 5.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

6.  Delay activity of saccade-related neurons in the caudal dentate nucleus of the macaque cerebellum.

Authors:  Robin C Ashmore; Marc A Sommer
Journal:  J Neurophysiol       Date:  2013-01-30       Impact factor: 2.714

Review 7.  Comparing the prefrontal cortex of rats and primates: insights from electrophysiology.

Authors:  Jeremy K Seamans; Christopher C Lapish; Daniel Durstewitz
Journal:  Neurotox Res       Date:  2008-10       Impact factor: 3.911

8.  Dissociable neural systems for timing: evidence from subjects with basal ganglia lesions.

Authors:  H Branch Coslett; Martin Wiener; Anjan Chatterjee
Journal:  PLoS One       Date:  2010-04-23       Impact factor: 3.240

9.  Implicit, predictive timing draws upon the same scalar representation of time as explicit timing.

Authors:  Federica Piras; Jennifer T Coull
Journal:  PLoS One       Date:  2011-03-25       Impact factor: 3.240

10.  Ready...go: Amplitude of the FMRI signal encodes expectation of cue arrival time.

Authors:  Xu Cui; Chess Stetson; P Read Montague; David M Eagleman
Journal:  PLoS Biol       Date:  2009-08-04       Impact factor: 8.029

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