TY - GEN
T1 - Multiple sensor sequential tracking of neural activity
T2 - 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
AU - Miao, Lifeng
AU - Zhang, Jun Jason
AU - Chakrabarti, Chaitali
AU - Papandreou-Suppappola, Antonia
PY - 2010
Y1 - 2010
N2 - We investigate the use of the particle filtering sequential Bayesian estimation technique and its hardware implementation for tracking neural activity. We propose using the multiple particle filter (MPF) approach in order to reduce the computational intensity incurred due to the large number of sensors required to observe the noninvasive magnetoencephalography (MEG) measurements needed to estimate the brain current dipole source locations and moments when tracking neural activity. The improved tracking performance of the MPF is demonstrated using numerical simulations on synthetic and real data. We also investigate the parallel implementation of the MPF algorithm on a Xilinx Virtex-5 field-programmable gate array (FPGA) platform. Our results of significant reduction in timing requirements demonstrate that the implementation is suitable for real-time tracking.
AB - We investigate the use of the particle filtering sequential Bayesian estimation technique and its hardware implementation for tracking neural activity. We propose using the multiple particle filter (MPF) approach in order to reduce the computational intensity incurred due to the large number of sensors required to observe the noninvasive magnetoencephalography (MEG) measurements needed to estimate the brain current dipole source locations and moments when tracking neural activity. The improved tracking performance of the MPF is demonstrated using numerical simulations on synthetic and real data. We also investigate the parallel implementation of the MPF algorithm on a Xilinx Virtex-5 field-programmable gate array (FPGA) platform. Our results of significant reduction in timing requirements demonstrate that the implementation is suitable for real-time tracking.
UR - http://www.scopus.com/inward/record.url?scp=79957993600&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957993600&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2010.5757537
DO - 10.1109/ACSSC.2010.5757537
M3 - Conference contribution
AN - SCOPUS:79957993600
SN - 9781424497218
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 369
EP - 373
BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Y2 - 7 November 2010 through 10 November 2010
ER -