Name
Title | ||
|---|---|---|
A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. |
Abstract | ||
|---|---|---|
Physiological and biophysical models have been proposed to link neuronal activity to the Blood Oxygen Level-Dependent (BOLD) signal in functional MRI (fMRI). Those models rely on a set of parameter values that cannot always be extracted from the literature. In some applications, interesting insight into the brain physiology or physiopathology can be gained from an estimation of the model parameter... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTSP.2015.2502553 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Brain modeling,Blood,Physiology,Magnetic resonance imaging,Bayes methods,Estimation,Stochastic processes | Data set,Bayesian inference,Markov chain Monte Carlo,Computer science,Identifiability,Artificial intelligence,Statistical hypothesis testing,Mathematical optimization,Expectation–maximization algorithm,Evolutionary computation,Algorithm,Differential evolution,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 2 | 1932-4553 |
Citations | PageRank | References |
2 | 0.38 | 25 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo Mesejo | 1 | 16 | 3.01 |
| sandrine saillet | 2 | 8 | 2.18 |
| Olivier David | 3 | 63 | 6.40 |
| Christian G Bénar | 4 | 22 | 2.18 |
| Jan M Warnking | 5 | 57 | 4.89 |
| Florence Forbes | 6 | 381 | 19.21 |