Journal
NEURAL COMPUTATION
Volume 20, Issue 5, Pages 1239-1260Publisher
MIT PRESS
DOI: 10.1162/neco.2007.05-07-536
Keywords
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Funding
- NINDS NIH HHS [F30 NS055650-01A2, F30 NS055650, F30NS055650] Funding Source: Medline
- PHS HHS [T32 07266] Funding Source: Medline
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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.
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