Statistical modelling of spike libraries for simulation of extracellular recordings in the cerebellum
Författare
Summary, in English
Brain machine interfaces with chronically implanted microelectrode arrays for signal acquisition require algorithms for successful detection and classification of neural spikes. During the design of such algorithms, signals with a priori known characteristics need to be present. A common way to establish such signals is to model the recording environment, simulate the recordings and store ground truth about spiking activity for later comparison. In this paper, we present a statistical method to expand the spike libraries that are used in a previously presented simulation tool for the purpose described above. The method has been implemented and shown to successfully provide quick access to a large assembly of synthetic extracellular spikes with realistic characteristics. Simulations of extracellular recordings using synthesized spikes have shown to possess characteristics similar to those of in-vivo recordings in the cat cerebellum.
Avdelning/ar
Publiceringsår
2010
Språk
Engelska
Sidor
4250-4253
Publikation/Tidskrift/Serie
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Fulltext
- Available as PDF - 557 kB
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Dokumenttyp
Konferensbidrag
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Basic Medicine
Nyckelord
- multi-unit
- extracelluar
- brain-computer-interface
- cerebellum
- brain-machine-interface
- recording
- simulation
- single-unit
Conference name
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
Conference date
2010-08-31 - 2010-09-04
Conference place
Buenos Aires, Argentina
Status
Published
Forskningsgrupp
- Neurophysiology
- Neuronano Research Center (NRC)
- Radio Systems
ISBN/ISSN/Övrigt
- ISSN: 1557-170X