P300-Based Brain-Computer Interface (BCI) Performance: Effects of Matrix Size and Presentation Rate

Eric Sellers; D.J. Krusienski; D.J. McFarland; J.R. Wolpaw

P300-Based Brain-Computer Interface (BCI) Performance: Effects of Matrix Size and Presentation Rate

Eric Sellers
, D.J. Krusienski
, D.J. McFarland
, J.R. Wolpaw

Research output: Contribution to conference › Presentation

Abstract

      A Brain-Computer Interface (BCI):   
   Records electrical activity from the brain and use the signals to convey intent 
   Does not use peripheral nerves or muscles 
 
      P300 BCI:   
   Rows and columns of the matrix randomly intensify 
   The attended item elicits a P300, and the system operates by detecting which cell elicited the response (Farwell & Donchin, 1988) 
 
      Study 1:   
   Examines the stimulus properties of matrix size (3x3 and 6x6) 
   and inter-stimulus interval (175 ms and 350 ms) 
 
      Study 2:   
   Examines 4 intensification contrast values 
 

Original language	American English
State	Published - Nov 2005
Event	Society for Neuroscience annual meeting - Atlanta, GA. Duration: Oct 1 2006 → …

Conference

Conference	Society for Neuroscience annual meeting
Period	10/1/06 → …

Keywords

BCI
P300
matrix size
presentation rate

Disciplines

Cognitive Psychology

Cite this

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title = "P300-Based Brain-Computer Interface (BCI) Performance: Effects of Matrix Size and Presentation Rate",

abstract = " A Brain-Computer Interface (BCI): Records electrical activity from the brain and use the signals to convey intent Does not use peripheral nerves or muscles P300 BCI: Rows and columns of the matrix randomly intensify The attended item elicits a P300, and the system operates by detecting which cell elicited the response (Farwell \& Donchin, 1988) Study 1: Examines the stimulus properties of matrix size (3x3 and 6x6) and inter-stimulus interval (175 ms and 350 ms) Study 2: Examines 4 intensification contrast values ",

keywords = "BCI, P300, matrix size, presentation rate",

author = "Eric Sellers and D.J. Krusienski and D.J. McFarland and J.R. Wolpaw",

year = "2005",

month = nov,

language = "American English",

note = "Society for Neuroscience annual meeting ; Conference date: 01-10-2006",

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TY - CONF

T1 - P300-Based Brain-Computer Interface (BCI) Performance: Effects of Matrix Size and Presentation Rate

AU - Sellers, Eric

AU - Krusienski, D.J.

AU - McFarland, D.J.

AU - Wolpaw, J.R.

PY - 2005/11

Y1 - 2005/11

N2 - A Brain-Computer Interface (BCI): Records electrical activity from the brain and use the signals to convey intent Does not use peripheral nerves or muscles P300 BCI: Rows and columns of the matrix randomly intensify The attended item elicits a P300, and the system operates by detecting which cell elicited the response (Farwell & Donchin, 1988) Study 1: Examines the stimulus properties of matrix size (3x3 and 6x6) and inter-stimulus interval (175 ms and 350 ms) Study 2: Examines 4 intensification contrast values

AB - A Brain-Computer Interface (BCI): Records electrical activity from the brain and use the signals to convey intent Does not use peripheral nerves or muscles P300 BCI: Rows and columns of the matrix randomly intensify The attended item elicits a P300, and the system operates by detecting which cell elicited the response (Farwell & Donchin, 1988) Study 1: Examines the stimulus properties of matrix size (3x3 and 6x6) and inter-stimulus interval (175 ms and 350 ms) Study 2: Examines 4 intensification contrast values

KW - BCI

KW - P300

KW - matrix size

KW - presentation rate

UR - https://www.etsu.edu/cas/psychology/bcilab/documents/ews_sfn_pstr05rev.pdf

M3 - Presentation

T2 - Society for Neuroscience annual meeting

Y2 - 1 October 2006

ER -

P300-Based Brain-Computer Interface (BCI) Performance: Effects of Matrix Size and Presentation Rate

Abstract

Conference

Keywords

Disciplines

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Cite this