Name
Title | ||
|---|---|---|
Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons. |
Abstract | ||
|---|---|---|
Neuronal responses are often characterized by the firing rate as a function of the stimulus mean, or the f–I curve. We introduce a novel classification of neurons into Types A, B−, and B+ according to how f–I curves are modulated by input fluctuations. In Type A neurons, the f–I curves display little sensitivity to input fluctuations when the mean current is large. In contrast, Type B neurons display
sensitivity to fluctuations throughout the entire range of input means. Type B− neurons do not fire repetitively for any constant
input, whereas Type B+ neurons do. We show that Type B+ behavior results from a separation of time scales between a slow and
fast variable. A voltage-dependent time constant for the recovery variable can facilitate sensitivity to input fluctuations.
Type B+ firing rates can be approximated using a simple “energy barrier” model. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s10827-009-0142-x | Journal of Computational Neuroscience |
Keywords | Field | DocType |
Noise,Gain,f,–,I,curve,Stimulus fluctuations,Single neuron,Time scales,Dynamical systems,Phase portrait,Hodgkin-Huxley,Slow adaptation,Slow AHP | Control theory,Dynamical systems theory,Stimulus (physiology),Phase portrait,Time constant,Mathematics,Scale separation,Hodgkin–Huxley model | Journal |
Volume | Issue | ISSN |
27 | 2 | 1573-6873 |
Citations | PageRank | References |
11 | 0.82 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian Nils Lundstrom | 1 | 62 | 4.74 |
| Michael Famulare | 2 | 18 | 1.53 |
| Larry B. Sorensen | 3 | 83 | 9.79 |
| William J. Spain | 4 | 11 | 0.82 |
| Adrienne L. Fairhall | 5 | 133 | 16.10 |