Document Detail


A neurocomputational model for optimal temporal processing.
MedLine Citation:
PMID:  18379866     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Humans can estimate the duration of intervals of time, and psychophysical experiments show that these estimations are subject to timing errors. According to standard theories of timing, these errors increase linearly with the interval to be estimated (Weber's law), and both at longer and shorter intervals, deviations from linearity are reported. This is not easily reconciled with the accumulation of neuronal noise, which would only lead to an increase with the square root of the interval. Here, we offer a neuronal model which explains the form of the error function as a result of a constrained optimization process. The model consists of a number of synfire chains with different transmission times, which project onto a set of readout neurons. We show that an increase in the transmission time corresponds to a superlinear increase of the timing errors. Under the assumption of a fixed chain length, the experimentally observed error function emerges from optimal selection of chains for each given interval. Furthermore, we show how this optimal selection could be implemented by competitive spike-timing dependent plasticity in the connections from the chains to the readout network, and discuss implications of our model on selective temporal learning and possible neural architectures of interval timing.
Authors:
Joachim Hass; Stefan Blaschke; Thomas Rammsayer; J Michael Herrmann
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-04-01
Journal Detail:
Title:  Journal of computational neuroscience     Volume:  25     ISSN:  1573-6873     ISO Abbreviation:  J Comput Neurosci     Publication Date:  2008 Dec 
Date Detail:
Created Date:  2008-09-23     Completed Date:  2009-01-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9439510     Medline TA:  J Comput Neurosci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  449-64     Citation Subset:  IM    
Affiliation:
Bernstein Center for Computational Neuroscience Göttingen, Bunsenstr. 10, 37073 Göttingen, Germany. joachim@nld.ds.mpg.de
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MeSH Terms
Descriptor/Qualifier:
Computer Simulation*
Humans
Learning / physiology
Models, Neurological*
Neural Networks (Computer)
Neuronal Plasticity / physiology
Neurons / physiology*
Synapses / physiology
Time Factors
Time Perception / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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