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- W2184508925 abstract "EEG (Electroencephalography) recordings in the brain have been used to measure neuronal activity for decades, but due to a number of artefacts and noise, it can often be difficult to extract the useful information from EEG’s, such as ERP’s (Event related potentials). Traditionally a large number of trials are measured and an average taken, but this has several limitations, the main being that this assumes that the averaged wave is a representation of all the components making up the ERP. The components of an ERP are investigated, as are techniques for producing models of an ERP. In particular a model proposed by P.Tass et al is investigated, and using Evolutionary algorithm optimization techniques is extended to model the separate components of an ERP. These models are then put back together using a scaling technique to produce an overall model of an ERP, made up of the separate components rather than just an overall representation. By modelling the ERP in this way, the dynamics of each component can be investigated, and/or the ERP as a whole can be investigated. This also allows further tests to be carried out on the data in a theoretical nature, which can give an insight into brain activity and can also allow EEG’s to be investigated on a single trial basis helping to eliminate certain artefacts and errors inherent to traditional averaging methods of extracting ERP’s." @default.
- W2184508925 created "2016-06-24" @default.
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- W2184508925 date "2012-01-01" @default.
- W2184508925 modified "2023-09-27" @default.
- W2184508925 title "The ERP Project" @default.
- W2184508925 hasPublicationYear "2012" @default.
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