Similar network activity from disparate circuit parameters. Prinz, A. A, Bucher, D., & Marder, E. Nat Neurosci, 7(12):1345-52, 2004. doi abstract bibtex It is often assumed that cellular and synaptic properties need to be regulated to specific values to allow a neuronal network to function properly. To determine how tightly neuronal properties and synaptic strengths need to be tuned to produce a given network output, we simulated more than 20 million versions of a three-cell model of the pyloric network of the crustacean stomatogastric ganglion using different combinations of synapse strengths and neuron properties. We found that virtually indistinguishable network activity can arise from widely disparate sets of underlying mechanisms, suggesting that there could be considerable animal-to-animal variability in many of the parameters that control network activity, and that many different combinations of synaptic strengths and intrinsic membrane properties can be consistent with appropriate network performance.
@Article{Prinz2004,
author = {Astrid A Prinz and Dirk Bucher and Eve Marder},
journal = {Nat Neurosci},
title = {Similar network activity from disparate circuit parameters.},
year = {2004},
number = {12},
pages = {1345-52},
volume = {7},
abstract = {It is often assumed that cellular and synaptic properties need to
be regulated to specific values to allow a neuronal network to function
properly. To determine how tightly neuronal properties and synaptic
strengths need to be tuned to produce a given network output, we
simulated more than 20 million versions of a three-cell model of
the pyloric network of the crustacean stomatogastric ganglion using
different combinations of synapse strengths and neuron properties.
We found that virtually indistinguishable network activity can arise
from widely disparate sets of underlying mechanisms, suggesting that
there could be considerable animal-to-animal variability in many
of the parameters that control network activity, and that many different
combinations of synaptic strengths and intrinsic membrane properties
can be consistent with appropriate network performance.},
doi = {10.1038/nn1352},
keywords = {Action Potentials, Animals, Comparative Study, Crustacea, Nerve Net, Neurons, Research Support, Non-U.S. Gov't, U.S. Gov't, P.H.S., Synapses, 15643435},
}
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