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Global Structure, Robustness, and Modulation of Neuronal Models Mark S. Goldman,1,3 Jorge Golowasch,1,2 Eve Marder,1,2 and L. F. Abbott1,2
 

Summary: Global Structure, Robustness, and Modulation of Neuronal Models
Mark S. Goldman,1,3 Jorge Golowasch,1,2 Eve Marder,1,2 and L. F. Abbott1,2
1Volen Center and 2Department of Biology, Brandeis University, Waltham, Massachusetts 02454, and 3Department of
Physics, Harvard University, Cambridge, Massachusetts 02138
The electrical characteristics of many neurons are remarkably
robust in the face of changing internal and external conditions.
At the same time, neurons can be highly sensitive to neuro-
modulators. We find correlates of this dual robustness and
sensitivity in a global analysis of the structure of a
conductance-based model neuron. We vary the maximal con-
ductance parameters of the model neuron and, for each set of
parameters tested, characterize the activity pattern generated
by the cell as silent, tonically firing, or bursting. Within the
parameter space of the five maximal conductances of the
model, we find directions, representing concerted changes in
multiple conductances, along which the basic pattern of neural
activity does not change. In other directions, relatively small
concurrent changes in a few conductances can induce transi-
tions between these activity patterns. The global structure of
the conductance-space maps implies that neuromodulators

  

Source: Abbott, Laurence - Center for Neurobiology and Behavior & Department of Physiology and Cellular Biophysics, Columbia University

 

Collections: Biology and Medicine