Medical Journals

The Dual Klepsydra Model of Internal Time Representation and Time Reproduction.

Authors:
  • Wackermann Jirí
  • Ehm Werner

From: Department of Empirical and Analytical Psychophysics, Institute for Frontier Areas of Psychology, Wilhelmstrasse 3a, D-79098 Freiburg i. Br, Germany. jw@igpp.de

Journal of theoretical biology

  • Publish Date: Apr 2006
  • ISSN: 0022-5193
  • Volume: 239
  • Issue: 4
  • Pages: 482-93
  • Medium: Print
  • Language: English
  • Citation (JAMA): Wackermann Jirí, Ehm Werner, et al. The Dual Klepsydra Model of Internal Time Representation and Time Reproduction.. J. Theor. Biol. Apr 2006;239:482-93

Abstract

We present a model of the internal representation and reproduction of temporal durations, the ‘dual klepsydra’ model (DKM). Unlike most contemporary models operating on a ‘pacemaker-counter’ scheme, the DKM does not assume an oscillatory process as the internal time-base. It is based on irreversible, dissipative processes in inflow/outflow systems (leaky klepsydrae), whose states are continuously compared; if their states are equal, durations are subjectively perceived as equal. Model-based predictions fit experimental time reproduction data with good accuracy, and show qualitative features not accounted for by other models. The deterministic model is characterized by two parameters, kappa (outflow rate coefficient) and eta (ratio of inflow rates). A stochastic version of the model (SDKM) assumes randomly fluctuating inflows, involves two more parameters, and accounts for intra-individual variance of reproduced durations. Analysis of the SDKM leads to non-trivial problems in the stochastic theory, briefly sketched here. Methods of parameter estimation for both deterministic and stochastic versions are given. Applying the DKM to the subjective experience of time passage, we show how subjective measure of elapsed time is constituted. Finally, essential features of the model and its possible neurophysiological interpretation are discussed.

Mesh Headings (Keywords): Animals, Biological Clocks, Computer Simulation, Humans, Models, Biological, Models, Psychological, Stochastic Processes, Time Perception


Check for Full Text / PubMed Unique Identifier (PMID): 16202427


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

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The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


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