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Biological Cybernetics

, Volume 89, Issue 4, pp 237–241 | Cite as

Explaining synchrony in feed-forward networks:

  • T. NowotnyEmail author
  • R. Huerta
Article

Abstract.

In any scientific theory, the conceptual framework already determines the nature and possible scope of the results. Oversimplification prevents an adequate description of the system, whereas too detailed a description obscures the fundamental principles behind the observed phenomena in addition to misspending time and resources. In theoretical neuroscience, this is an important issue because the description level varies widely from detailed biophysical descriptions to abstract computational models. We discuss the question of the appropriate modeling level in the context of a recent report on synchrony in iteratively constructed feed-forward networks of rat cortex pyramidal neuron somata (Reyes, 2003).

Keywords

Fundamental Principle Conceptual Framework Computational Model Pyramidal Neuron Scientific Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

Acknowledgments.

Parts of this work were carried out at the Technical University of Munich with the support of the Research Unit 306 “Hörobjekte” of the DFG. The work was also supported by the U.S. Army Research Office grant DAAD-19-01-1-0026, NSF grant EIA-0130708, and NIH grant NS40110-01A2.

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  1. 1.UCSD Institute for Nonlinear ScienceLa JollaUSA

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