Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/18806| Title: | Simulating and Reconstructing Neurodynamics with Epsilon-Automata Applied to Electroencephalography (EEG) Microstate Sequences |
| Authors: | Nehaniv, CL Antonova, E |
| Keywords: | Science & Technology;Technology;Computer Science, Artificial Intelligence;Engineering, Electrical & Electronic;Computer Science;Engineering;ADAPTIVE SEGMENTATION;MAP SERIES;BRAIN;THINKING;STATES |
| Issue Date: | 1-Jan-2017 |
| Publisher: | IEEE |
| Citation: | 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017, pp. 1753 - 1761 (9) |
| URI: | https://bura.brunel.ac.uk/handle/2438/18806 |
| Other Identifiers: | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000428251401116&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=f12c8c83318cf2733e615e54d9ed7ad5 |
| Appears in Collections: | Dept of Life Sciences Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 581.66 kB | Adobe PDF | View/Open |
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