Name
Abstract | ||
|---|---|---|
In science and engineering mathematical modeling serves as a tool for the understanding of processes and systems and as a testing bed for several hypotheses, e.g., concerning the testing (prediction) of functional limits by simulations. A brief overview of current modeling strategies in brain research is given, spatial scales ranging from single neuron to large scale activity of and between brain ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JPROC.2015.2497144 | Proceedings of the IEEE |
Keywords | Field | DocType |
Brain models,Mathematical model,Analytical models,Computational modeling,Biological system modeling,Neurons,Biomedical signal processing,Clinical diagnosis | Signal processing,Nonlinear system,Linear system,Computer science,Process modeling,Algorithm,Adaptive filter,Artificial intelligence,Inverse problem,Electroencephalography,Machine learning,Causal model | Journal |
Volume | Issue | ISSN |
104 | 2 | 0018-9219 |
Citations | PageRank | References |
2 | 0.38 | 32 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lutz Leistritz | 1 | 102 | 13.65 |
| Karin Schiecke | 2 | 11 | 3.70 |
| Laura Astolfi | 3 | 4 | 2.44 |
| Herbert Witte | 4 | 156 | 18.69 |