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Author Tang, Akaysha C. ♦ Pearlmutter, Barak A.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Simple Threshold-crossing Method ♦ Independent Component Analysis ♦ Millisecond Resolution ♦ Neural Information Processing ♦ Complex Cognitive Task ♦ Poor Signal-to-noise Condition ♦ Neuronal Source ♦ Single-trial Response Onset Time ♦ Multiple Sensory Modality ♦ Specific Neuronal Population ♦ Sobi Ability ♦ Wide Range ♦ Detection Rate ♦ Simple Sensory Activation ♦ Underlying Neuronal Source ♦ Independent Component ♦ Second Order Blind Identification ♦ Ica Method ♦ 122-channel Meg Data ♦ Magnetic Signal ♦ Decomposition Method
Description Independent component analysis (ICA) is a class of decomposition methods that separate sources from mixtures of signals. In this chapter, we used second order blind identification (SOBI), one of the ICA method, to demonstrate its advantages in identifying magnetic signals associated with neural information processing. Using 122-channel MEG data collected during both simple sensory activation and complex cognitive tasks, we explored SOBI’s ability to help isolate and localize underlying neuronal sources, particularly under relatively poor signal-to-noise conditions. For these identified and localized neuronal sources, we developed a simple threshold-crossing method, with which single-trial response onset times could be measured with a detection rate as high as 96%. These results demonstrated that, with the aid of ICA, it is possible to non-invasively measure human single trial response onset times with millisecond resolution for specific neuronal populations from multiple sensory modalities. This capability makes it possible to study a wide range of
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01
Publisher Institution Magnetic Source Imaging of the Human Brain