Academic Journal
Extracting duration information in a picture category decoding task using hidden Markov Models
| العنوان: | Extracting duration information in a picture category decoding task using hidden Markov Models |
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| المؤلفون: | Pfeiffer, Tim, Heinze, Nicolai, Frysch, Robert, Deoull, Leon Y., Schoenfeld, Mircea A., Knight, Robert T. |
| المصدر: | Journal of neural engineering, 13(2):026010 |
| سنة النشر: | 2016 |
| المجموعة: | Publisso (ZB MED-Publikationsportal Lebenswissenschaften) |
| الوصف: | OBJECTIVE: Adapting classifiers for the purpose of brain signal decoding is a major challenge in brain-computer-interface (BCI) research. In a previous study we showed in principle that hidden Markov models (HMM) are a suitable alternative to the well-studied static classifiers. However, since we investigated a rather straightforward task, advantages from modeling of the signal could not be assessed. APPROACH: Here, we investigate a more complex data set in order to find out to what extent HMMs, as a dynamic classifier, can provide useful additional information. We show for a visual decoding problem that besides category information, HMMs can simultaneously decode picture duration without an additional training required. This decoding is based on a strong correlation that we found between picture duration and the behavior of the Viterbi paths. MAIN RESULTS: Decoding accuracies of up to 80% could be obtained for category and duration decoding with a single classifier trained on category information only. SIGNIFICANCE: The extraction of multiple types of information using a single classifier enables the processing of more complex problems, while preserving good training results even on small databases. Therefore, it provides a convenient framework for online real-life BCI utilizations. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | https://repository.publisso.de/resource/frl:6403984; http://dx.doi.org/10.1088/1741-2560/13/2/026010; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871607/ |
| DOI: | 10.1088/1741-2560/13/2/026010 |
| الاتاحة: | https://repository.publisso.de/resource/frl:6403984 https://doi.org/10.1088/1741-2560/13/2/026010 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871607/ |
| Rights: | https://creativecommons.org/licenses/by/3.0/ |
| رقم الانضمام: | edsbas.69113F91 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1741-2560/13/2/026010 |
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