Name
Title | ||
|---|---|---|
Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals. |
Abstract | ||
|---|---|---|
When analyzing brain activity such as local field potentials, it is often desired to represent neural events by stereotypic waveforms. Due to the nondeterministic nature of the neural responses, an adequate waveform estimate typically requires recording multiple repetitions of the neural events. It is common practice to segment the recorded signal into event-related epochs and calculate their aver... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSP.2017.2698415 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Brain modeling,Dictionaries,Kernel,Adaptation models,Signal processing algorithms,Algorithm design and analysis,Electroencephalography | Kernel (linear algebra),Algorithm design,Nondeterministic algorithm,Neurophysiology,Computer science,Waveform,Speech recognition,Robustness (computer science),Local field potential,Electroencephalography | Journal |
Volume | Issue | ISSN |
65 | 16 | 1053-587X |
Citations | PageRank | References |
2 | 0.65 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| sebastian hitziger | 1 | 5 | 1.11 |
| maureen clerc | 2 | 128 | 16.39 |
| sandrine saillet | 3 | 8 | 2.18 |
| Christian-G Bénar | 4 | 54 | 5.66 |
| Théodore Papadopoulo | 5 | 324 | 26.84 |