Explaining synchrony in feed-forward networks: are McCulloch-Pitts neurons good enough?
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).
Nowotny
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Institute for Nonlinear Science, UCSD, 9500 Gilman Drive, La Jolla, CA 92093-0402, USA. tnowotny@ucsd.edu
Huerta
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R
D000200:Action Potentials / Q000502:physiology; D003344:Cortical Synchronization / Q000379:methods*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*