Name
Title | ||
|---|---|---|
Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space |
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1162/neco.2007.05-07-536 | Neural Computation |
Keywords | Field | DocType |
hodgkin huxley,dynamic system | Mathematical optimization,Biological system,Compartment (ship),Models of neural computation,Planar,Artificial intelligence,Conductance,Artificial neural network,Neuron,Mathematics,Nullcline,Dynamical system | Journal |
Volume | Issue | ISSN |
20 | 5 | 0899-7667 |
Citations | PageRank | References |
16 | 1.20 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian Nils Lundstrom | 1 | 62 | 4.74 |
| Sungho Hong | 2 | 181 | 12.78 |
| Matthew H. Higgs | 3 | 16 | 1.20 |
| Adrienne L. Fairhall | 4 | 133 | 16.10 |