Name
Abstract | ||
|---|---|---|
A temporally-constrained blind-source-separation algorithm was used to analyse auditory evoked potentials, evoked from impulse trains with inter-stimulus rates of 95 and 198 Hz. A nonstationarity of variance contrast function was used, and a simulation run showing its ability to extract sources based on a simple convolved model of auditory brainstem and middle latency responses. For a stimulus rate of 95 Hz, where no neural adaptation occurs, this approach was partially successful for experimental data. For the higher rate of 198 Hz particularly poor results were observed for brainstem responses. It is hypothesised that this may be due to the neural adaptation process and/or an inappropriate choice of source model. |
Year | Venue | Keywords |
|---|---|---|
2007 | ICA | source model,stimulus rate,auditory evoked potential,brainstem response,neural adaptation,constrained ica,simple convolved model,neural adaptation process,inter-stimulus rate,higher rate,auditory brainstem,high stimulus rate auditory,blind source separation |
Field | DocType | Volume |
Auditory brainstem response,Impulse (physics),Speech recognition,Independent component analysis,Audiology,Stimulus (physiology),Partially successful,Neural adaptation,Blind signal separation,Mathematics,Brainstem | Conference | 4666 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-74493-2 | 0 |
PageRank | References | Authors |
0.34 | 5 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James M. Harte | 1 | 5 | 2.23 |