Predicting rTMS effect for deciding stimulation parameters.

Kazuhisa Nojima Yoshinori Katayama Keiji Iramina

Published in: EMBC (2013)

Keyphrases

maximum likelihood
fine tuning
neural network
artificial intelligence
information systems
high dimensional
probability distribution
d objects
parameter estimation
probability density function
parameter values
parameter tuning
parameter selection
measured data
negative impact