Abstract
Recent in vitro data show that neurons respond to input variance with varying sensitivities. Here we demonstrate that Hodgkin-Huxley (HH) neurons can operate in two computational regimes: one that is more sensitive to input variance (differentiating) and one that is less sensitive (integrating). A boundary plane in the 3D conductance space separates these two regimes. For a reduced HH model, this plane can be derived analytically from the V nullcline, thus suggesting a means of relating biophysical parameters to neural computation by analyzing the neuron's dynamical system.
Original language | English (US) |
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Pages (from-to) | 1239-1260 |
Number of pages | 22 |
Journal | Neural Computation |
Volume | 20 |
Issue number | 5 |
DOIs | |
State | Published - May 2008 |
ASJC Scopus subject areas
- Arts and Humanities (miscellaneous)
- Cognitive Neuroscience