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Textbook for NESC 3505, Neural Data Science, at Dalhousie University

Home Page: https://neural-data-science.github.io/NESC_3505_textbook/

License: Other

Shell 0.01% TeX 0.03% Jupyter Notebook 99.97%
data-science educational eeg machine-learning mri neuroscience oer python single-unit textbook

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nesc_3505_textbook's Issues

Confusion between .trg and .vmrk files?

Hi,

Thank you so much for your incredible work on this book! It is a really great resource.
I noticed that in importing EEG data with MNE section there are two references to .trg files, which are not previously mentioned. From context, it seems like these should be replaced with .vmrk. Just thought this would be an easy fix and hopefully save some confusion.

Issue on page /7-eeg/erp_group.html

I've been following this great tutorial but I can't seem to get the final group analysis to work. I can find the evoked data files, I can load them but when I try to compare the evoked waveforms I get the following error:

ValueError: operands could not be broadcast together with shapes (141,) (2049,)

It seems that my numpy arrays are different shapes but I'm not too sure how that's happened. I have different numbers of epochs but these are then averaged into the evoked Object so I didn't think it was an issue. I have the same number of channels and use the same code to produce the evoked files.

Any suggestions would be so helpful,
Thank you!

Issue on page /6-single_unit/pandas_multielec.html

Under Orientations heading, there is this statement: "So most channels contain activity from one neuron, but channel 20 picked up 4 neurons, and 29 and 60 each picked up 2 neurons." However, we don't have data from channel 20 (see Electrodes section) and it's not clear what code this statement is linked to, since the preceding output has to do with visual stimuli orientations.

Issue on page /7-eeg/erp_segmentation.html

Hi. This is just a minor thing, but I noticed that in the blue box at the top, the same paragraph is repeated twice. (Event codes can also be generated by devices that detect when a stimulus occurs. ~~~ The result will be that the peaks and troughs of the waveforms do not align perfectly across trials, and the resulting averaged ERP will look more smoothed and less “peaky”.)

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