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Paper   IPM / Cognitive Sciences / 13462
School of Cognitive Sciences
  Title:   Decoding of Visual Attention from LFP Signals of Macaque MT
  Author(s): 
1.  M Esghaei
2.  M.R. Daliri
  Status:   Published
  Journal: Plos One
  Year:  2014
  Supported by:  IPM
  Abstract:
The local field potential (LFP) has recently been widely used in brain computer interfaces (BCI). Here we used power of LFP recorded from area MT of a macaque monkey to decode where the animal covertly attended. Support vector machines (SVM) were used to learn the pattern of power at different frequencies for attention to two possible positions. We found that LFP power at both low (<9 Hz) and high (31�??120 Hz) frequencies contains sufficient information to decode the focus of attention. Highest decoding performance was found for gamma frequencies (31�??120 Hz) and reached 82

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