Efficient Bayesian Tracking of Multiple Sources of Neural Activity: Algorithms and Real-Time FPGA Implementation

Efficient Bayesian Tracking of Multiple Sources of Neural Activity: Algorithms and Real-Time FPGA Implementation

abstract: Electrical neural activity detection and tracking have many applications in medical research and brain computer interface technologies. In this thesis, we focus on the development of advanced signal processing algorithms to track neural activity and on the mapping of these algorithms onto...

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Bibliographic Details
Other Authors: Miao, Lifeng (Author)
Format: Doctoral Thesis
Language:English
Published: 2013
Subjects:
Electrical engineering
Biomedical engineering
Algorithm Development
Bayesian Methods
Hardware Implementation
Neural Activity Tracking
Online Access:http://hdl.handle.net/2286/R.I.18146

Internet

http://hdl.handle.net/2286/R.I.18146

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