Search found 74 matches
- Fri Nov 17, 2023 4:11 pm
- Forum: Boxes
- Topic: give multiple stims to the Stim Based Epoching box
- Replies: 4
- Views: 9230
Re: give multiple stims to the Stim Based Epoching box
Thomas, Ignore the title of this topic, I am concerned about the 2nd question I asked, how to use a single branch to use for both stim types. You did not reply to my last error report, and I went in other directions and did not follow up. I think if we can get this working it might help solve the ot...
- Fri Nov 17, 2023 4:59 am
- Forum: Box and application development
- Topic: how to create custom Box for feature selection
- Replies: 3
- Views: 17138
Re: how to create custom Box for feature selection
Thomas, We are still trying to make our work-around work (described in the large paragraph in my initial message of this topic), but are hampered by our ability to see what is going on in some of the boxes. In particular we cannot figure out how to display or save to a file the stimulus or feature v...
- Wed Nov 15, 2023 5:35 am
- Forum: Box and application development
- Topic: how to create custom Box for feature selection
- Replies: 3
- Views: 17138
Re: how to create custom Box for feature selection
last file, seems to be limited to 3 at a time?
- Wed Nov 15, 2023 5:35 am
- Forum: Box and application development
- Topic: how to create custom Box for feature selection
- Replies: 3
- Views: 17138
Re: how to create custom Box for feature selection
scenarios mentioned above
- Wed Nov 15, 2023 5:32 am
- Forum: Box and application development
- Topic: how to create custom Box for feature selection
- Replies: 3
- Views: 17138
how to create custom Box for feature selection
Thomas or whoever is able to respond to this topic: We are being held up implementing our neurofeedback scenario as it requires a custom Box. After initial filtering and Feature-Aggregating we need to computer a statistical measure and use it to threshold the most significant features to send on to ...
- Wed Nov 15, 2023 5:03 am
- Forum: Boxes
- Topic: how to run classifier online and with pre=recorded EEG
- Replies: 3
- Views: 7997
Re: how to run classifier online and with pre=recorded EEG
Hi Thomas, I did not see your response until tonight. Is there any way to be notified by email when there are new replies to a subject? I will have to go back and try the Time-based epoching as you suggest here and see what happens. As I recall it failed for some reason. More important now is our in...
- Thu Nov 09, 2023 6:32 am
- Forum: Box and application development
- Topic: creating a custom Box
- Replies: 1
- Views: 5353
Re: creating a custom Box
This is the scenario we are using. The proposed Box would fit after each of the two Feature Aggregator Boxes and the SVM Classifier Box.
smok_clas_svm_train.xml attached.
-Jeff
smok_clas_svm_train.xml attached.
-Jeff
- Thu Nov 09, 2023 6:26 am
- Forum: Box and application development
- Topic: creating a custom Box
- Replies: 1
- Views: 5353
creating a custom Box
Hello, We have been trying to create a custom box that does these things: 1. transforms the EEG data to a type of Z-score (requires all of the data in order to calculate means and stddevs over all trials) 2. selects the top P percent of the data (P entered by the user) that matches the top P percent...
- Tue Nov 07, 2023 11:34 pm
- Forum: Boxes
- Topic: how to run classifier online and with pre=recorded EEG
- Replies: 3
- Views: 7997
Re: how to run classifier online and with pre-recorded EEG
had problem with this attachment, trying again
-Jeff
-Jeff
- Tue Nov 07, 2023 11:32 pm
- Forum: Boxes
- Topic: how to run classifier online and with pre=recorded EEG
- Replies: 3
- Views: 7997
how to run classifier online and with pre=recorded EEG
Hi, We have a classification scenario with two classes. we have trained it using SVM, which created the SVM model in a file. We now want to use that model during our neurofeedback sessions, and on pre-recorded data. we tried to follow the motor-imagery example, but are stuck. Here is what we have fo...
- Mon Oct 16, 2023 4:40 pm
- Forum: Box and application development
- Topic: adding parameters to the slkearn classifier Box
- Replies: 4
- Views: 9300
Re: adding parameters to the slkearn classifier Box
Hi Thomas,
This info is helpful, thank you. I will look into your suggestions about selecting time windows, but I suspect it may be difficult to use as I need to select "random" time frames (samples) based on statistical significance, not time sub-epochs.
-Jeff
This info is helpful, thank you. I will look into your suggestions about selecting time windows, but I suspect it may be difficult to use as I need to select "random" time frames (samples) based on statistical significance, not time sub-epochs.
-Jeff
- Tue Oct 10, 2023 5:20 am
- Forum: Box and application development
- Topic: adding parameters to the slkearn classifier Box
- Replies: 4
- Views: 9300
Re: adding parameters to the slkearn classifier Box
Thomas, I have been using svm.SVC which allows these kernel choices: {‘linear’, ‘poly’, ‘rbf’, ‘sigmoid’, ‘precomputed’} or callable, default=’rbf’. It seems odd to me that this more general implementation was not implemented already, as it includes a linear kernel as an option and gives you a lot m...
- Tue Oct 10, 2023 5:08 am
- Forum: Boxes
- Topic: give multiple stims to the Stim Based Epoching box
- Replies: 4
- Views: 9230
Re: give multiple stims to the Stim Based Epoching box
Thomas, I tried it and after it read the 3 minute file in I got this: [ INF ] Initialization took 1958 ms [ ERROR ] At time 183.984 sec <Box algorithm::(0x00006520, 0x00005569) aka SVM classifier> {Error description} : {Received fewer examples (0) than specified partition count (10)}, {Error type} :...
- Tue Oct 10, 2023 5:01 am
- Forum: Boxes
- Topic: BrainVision reader only supports "multiplexed" data
- Replies: 2
- Views: 7053
Re: BrainVision reader only supports "multiplexed" data
Hi Thomas,
I have been out of town for a few days, so just logged on and saw your reply. I will look ed the link, but this problem has temporarily been solved by exporting GDF files from Matlab.
Thanks,
-Jeff
I have been out of town for a few days, so just logged on and saw your reply. I will look ed the link, but this problem has temporarily been solved by exporting GDF files from Matlab.
Thanks,
-Jeff
- Tue Oct 03, 2023 11:17 pm
- Forum: Box and application development
- Topic: adding parameters to the slkearn classifier Box
- Replies: 4
- Views: 9300
adding parameters to the slkearn classifier Box
I would like to use the sklearn classifier box, specifically with the Support Vector Machine (SVM) option. The advantage of this I had hoped to avail myself of is the ability to optimize the SVM outside of OpenViBE using the sklearn Python SVM. Looking at the parameters available in the configuratio...