[Eeglablist] Fw: Error using DIPFIT
Salim Al-wasity
salim_alwasity at yahoo.com
Fri Mar 27 03:32:53 PDT 2015
HiThis dataset has 38 channels and 30 ICs. After trying the mentioned commands above I got:
size(EEG.data)ans =
38 2094 66
size(EEG.icaact)ans =
30 2094 66
length(EEG.chanlocs)
ans =
38
When I run Autofit I got:
Error using ft_datatype_raw (line 88)inconsistent number of channels in trial 1
Maximum number of iterations reached. Fitting failedTransforming electrode coordinates to match head modelthe input is component data with 30 components and 38 original channelsthe input is raw data with 38 channels and 66 trials
SincerelySalim
On Thursday, 26 March 2015, 18:09, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
Try
size(EEG.data)size(EEG.icaact)length(EEG.chanlocs)
What do you get?
Makoto
On Sat, Mar 21, 2015 at 4:29 AM, Salim Al-wasity <salim_alwasity at yahoo.com> wrote:
Dear Mr. MakotoThanks for your reply.I still get the same error message when I modify the 'dipole_fit). I am wondering why EEGLAB says (inconsistent number of trials in raw data structure) and (the input is component data with 32 components and 44 original channelsthe input is raw data with 44 channels and 1 trials)?
SincerelySalim
On Thursday, 19 March 2015, 18:39, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
Dear Salim,
Edit 'dipole_fit' line 117 and 119 'maxiter'. These numbers could be x10 and it usually solves the problem.
Makoto
On Fri, Mar 6, 2015 at 6:44 AM, Salim Al-wasity <salim_alwasity at yahoo.com> wrote:
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DearsI got the following error when I tried to estimate the Dipoles of a dataset after removing some components.I tried different versions of EEGLAB (v13.3.2 and v13.4.4)
The error message is:
Error using ft_datatype_raw (line 85)inconsistent number of trials in raw data structure
Maximum number of iterations reached. Fitting failedTransforming electrode coordinates to match head modelthe input is component data with 32 components and 44 original channelsthe input is raw data with 44 channels and 1 trials
SincerelySalim
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--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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