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Development of Brain-Computer Interfaces using Evolvable Hardware
Citation
López, Blanca and Mora, Javier and Mansanet, Pablo and Torre Arnanz, Eduardo de la and Riesgo Alcaide, Teresa (2014). Development of Brain-Computer Interfaces using Evolvable Hardware. In: "2014 Conference on Design and Architectures for Signal and Image Processing (DASIP)", 08-10 oct 2014, Madrid (Spain). ISBN 979-10-92279-06-1. p. 1.
Description
| Title: | Development of Brain-Computer Interfaces using Evolvable Hardware |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Poster) |
| Event Title: | 2014 Conference on Design and Architectures for Signal and Image Processing (DASIP) |
| Event Dates: | 08-10 oct 2014 |
| Event Location: | Madrid (Spain) |
| Title of Book: | 2014 Conference on Design and Architectures for Signal and Image Processing (DASIP) |
| Date: | 2014 |
| ISBN: | 979-10-92279-06-1 |
| Subjects: | |
| Faculty: | E.T.S.I. Industriales (UPM) |
| Department: | Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Brain-Computer Interfaces are usually tackled from a medical point of view, correlating observed phenomena to physical facts known about the brain. Existing methods of classification lie in the application of deterministic algorithms and depend on certain degree of knowledge about the underlying phenomena so as to process data. In this demo, different architectures for an evolvable hardware classifier implemented on an FPGA are proposed, in line with the objective of generalizing evolutionary algorithms regardless of the application.
More information
| Item ID: | 37019 |
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| DC Identifier: | http://oa.upm.es/37019/ |
| OAI Identifier: | oai:oa.upm.es:37019 |
| Official URL: | http://ecsi.org/dasip-2014 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 10 Mar 2016 16:12 |
| Last Modified: | 10 Mar 2016 16:12 |
