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New frontiers in population recording

Fraser, George Williams (2011) New frontiers in population recording. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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The advent of reliable simultaneous recording of the activity of many neurons has enabled the study of interactions between neurons at a large scale: the number of observed pairwise interactions is proportional to the square of the number of recorded neurons. The dominant phenomenon in these pairwise interactions is synchronization, reflecting a system where many observed variables have in common a smaller set of latent variables. This permits the possibility that the complex signals observed in the brain might be reducible to a simpler system. We used this insight to design a better signal processing scheme for neuroprosthetics; to identify the same neurons in many recording sessions from their pairwise interactions; to show that the tuning functions of neurons in motor and premotor cortex do not reflect simple coordinate frame models; and to identify error as a dominant signal during continuous movements.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Fraser, George
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairStrick, Peter Lstrickp@pitt.eduSTRICKP
Committee MemberSchwartz, Andrew Babs21@pitt.eduABS21
Committee MemberWeber, Douglas Jjw50@pitt.eduJW50
Committee MemberSahani,
Committee MemberKass, Robert
Committee MemberLee, Tai
Date: 14 April 2011
Date Type: Completion
Defense Date: 4 April 2011
Approval Date: 14 April 2011
Submission Date: 13 April 2011
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Medicine > Neurobiology
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: machine learning; neuroprosthetics; neuroscience; statistics
Other ID:, etd-04132011-154920
Date Deposited: 10 Nov 2011 19:37
Last Modified: 15 Nov 2016 13:40


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