|
|
|
|
| LEADER |
01568nam a2200349Ia 4500 |
| 001 |
10.1162-neco_a_01353 |
| 008 |
220427s2021 CNT 000 0 und d |
| 020 |
|
|
|a 08997667 (ISSN)
|
| 245 |
1 |
0 |
|a From biophysical to integrate-and-fire modeling
|
| 260 |
|
0 |
|b MIT Press Journals
|c 2021
|
| 856 |
|
|
|z View Fulltext in Publisher
|u https://doi.org/10.1162/neco_a_01353
|
| 520 |
3 |
|
|a This article proposes a methodology to extract a low-dimensional integrate-and-fire model from an arbitrarily detailed single-compartment biophysical model. The method aims at relating the modulation of maximal conductance parameters in the biophysical model to the modulation of parameters in the proposed integrate-and-fire model. The approach is illustrated on two well-documented examples of cellular neuromodulation: the transition between type I and type II excitability and the transition between spiking and bursting. © 2021 Massachusetts Institute of Technology.
|
| 650 |
0 |
4 |
|a action potential
|
| 650 |
0 |
4 |
|a Action Potentials
|
| 650 |
0 |
4 |
|a biological model
|
| 650 |
0 |
4 |
|a Biophysical model
|
| 650 |
0 |
4 |
|a biophysics
|
| 650 |
0 |
4 |
|a Biophysics
|
| 650 |
0 |
4 |
|a Biophysics
|
| 650 |
0 |
4 |
|a Conductance parameters
|
| 650 |
0 |
4 |
|a Integrate-and-fire model
|
| 650 |
0 |
4 |
|a Low dimensional
|
| 650 |
0 |
4 |
|a Models, Neurological
|
| 650 |
0 |
4 |
|a Modulation
|
| 650 |
0 |
4 |
|a nerve cell
|
| 650 |
0 |
4 |
|a Neuromodulation
|
| 650 |
0 |
4 |
|a Neurons
|
| 650 |
0 |
4 |
|a Type II
|
| 700 |
1 |
|
|a Drion, G.
|e author
|
| 700 |
1 |
|
|a Sepulchre, R.
|e author
|
| 700 |
1 |
|
|a Van Pottelbergh, T.
|e author
|
| 773 |
|
|
|t Neural Computation
|
