Title :
Neural network solution to the neuromagnetic imaging problem
Author :
Tsuruoka, Hisashi
Author_Institution :
Dept. of Syst. Eng., Fukuoka Inst. of Tech., Fukuoka, Japan
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
The application of neural networks is considered in solving the inverse problem in producing naps of neuron current densities, resulting from brain activity, with magnetic field data measured by superconducting quantum interference device (SQUID)sensors. The reconstruction ability of two neural network types, Hopfield network and Boltzmann machine, is evaluated by computer.
Keywords :
Boltzmann machines; Hopfield neural nets; SQUIDs; biomagnetism; brain; image reconstruction; inverse problems; medical image processing; neurophysiology; Boltzmann machine; Hopfield network; SQUID; brain activity; inverse problem; neural network; neuromagnetic imaging; neuron current densities; reconstruction; superconducting quantum interference device sensors; Computational modeling;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761343
