analysis:nsb2017:week2
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analysis:nsb2017:week2 [2017/07/06 18:27] mvdm [Timestamped data (TSD) data-type] |
analysis:nsb2017:week2 [2023/04/13 12:20] (current) |
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| - | ~~DISCUSSION~~ | + | ~~DISCUSSION:off~~ |
| ===== Module 2: Introduction to neural data types, file formats and preprocessing ===== | ===== Module 2: Introduction to neural data types, file formats and preprocessing ===== | ||
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| ☛ How many spikes did the second neuron emit in this session? | ☛ How many spikes did the second neuron emit in this session? | ||
| - | As with ''tsd'' data above, you can call the ts constructor ''ts()'' to start with a template that you can then fill with data if you want to build your own. The ts [[https://github.com/mvdm/neuraldata-w16/tree/master/shared/datatypes/ts | folder]] on %%GitHub%% contains some other utility functions that work with timestamp data. | + | As with ''tsd'' data above, you can call the ts constructor ''ts()'' to start with a template that you can then fill with data if you want to build your own. The ts [[https://github.com/mvdm/nsb2017/tree/master/shared/datatypes/ts | folder]] on %%GitHub%% contains some other utility functions that work with timestamp data. |
| ==== Interval (IV) data-type ==== | ==== Interval (IV) data-type ==== | ||
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| NOTE: if you are on a Mac, you might get an error related to the ''nearest_idx3'' function; you can fix that for now by changing this to ''nearest_idx'' in the ''PlotTSDfromIV'' function. | NOTE: if you are on a Mac, you might get an error related to the ''nearest_idx3'' function; you can fix that for now by changing this to ''nearest_idx'' in the ''PlotTSDfromIV'' function. | ||
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analysis/nsb2017/week2.1499380060.txt.gz · Last modified: 2018/07/07 10:19 (external edit)
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