Name
Title | ||
|---|---|---|
Singular spectrum analysis improves analysis of local field potentials from macaque V1 in active fixation task. |
Abstract | ||
|---|---|---|
Local field potentials (LFPs) represent the relatively slow varying components of the neural signal, and their analysis is instrumental in understanding normal brain function. To be properly analyzed, this signal needs to be separated in its fundamental frequency bands. Recent studies have shown that empirical mode decomposition (EMD) can be exploited to pre-process LFP recordings in order to achieve a proper separation. However, depending on the analyzed signal, EMD is known to generate components that may cover a too wide frequency range to be considered as narrow banded. As an alternative, we present here an improved version of the singular spectrum analysis (SSA) algorithm, validated by numerical simulations, and applied to LFP recordings in V1 of a macaque monkey exposed to simple visual stimuli. The components generated by the improved SSA algorithm are shown to be more meaningful than those generated by EMD, paving the way for its use in LFP analysis. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6346581 | EMBC |
Keywords | Field | DocType |
simple visual stimuli,neurophysiology,improved ssa algorithm,numerical analysis,medical signal processing,local field potentials analysis,macaque monkey v1,preprocess lfp recordings,empirical mode decomposition,numerical simulation,brain,neural signal,signal reconstruction,visual perception,active fixation task,fundamental frequency bands,singular spectrum analysis,hilbert transforms,normal brain function | Computer vision,Fundamental frequency,Neurophysiology,Computer science,Singular spectrum analysis,Artificial intelligence,Local field potential,Numerical analysis,Signal reconstruction,Visual perception,Hilbert–Huang transform | Conference |
Volume | ISSN | ISBN |
2012 | 1557-170X | 978-1-4577-1787-1 |
Citations | PageRank | References |
1 | 0.44 | 1 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| pietro bonizzi | 1 | 8 | 5.81 |
| Joël M. H. Karel | 2 | 16 | 2.84 |
| Peter De Weerd | 3 | 1 | 0.44 |
| Eric Lowet | 4 | 3 | 1.20 |
| Mark Roberts | 5 | 17 | 11.52 |
| Ronald Westra | 6 | 14 | 1.53 |
| Olivier Meste | 7 | 1 | 0.78 |
| Ralf L. M. Peeters | 8 | 62 | 22.61 |