analysis:nsb2017:week2
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analysis:nsb2017:week2 [2017/07/02 16:35] mvdm |
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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| If at some point you want to construct a ''tsd'' variable yourself, you can do ''help tsd'' to see how. The ''tsd()'' function is a //constructor// for variables of type ''tsd''. ''LoadCSC()'' calls this function to create an empty ''tsd'' template, and then fills it with data loaded from ''.ncs'' files; you can check if the result meets the specification by calling ''CheckTSD()''. | If at some point you want to construct a ''tsd'' variable yourself, you can do ''help tsd'' to see how. The ''tsd()'' function is a //constructor// for variables of type ''tsd''. ''LoadCSC()'' calls this function to create an empty ''tsd'' template, and then fills it with data loaded from ''.ncs'' files; you can check if the result meets the specification by calling ''CheckTSD()''. | ||
| - | There are a number of functions that work with ''tsd'' data: some of these can be found in the tsd [[https://github.com/mvdm/neuraldata-w16/tree/master/shared/datatypes/tsd | folder]] in the %%GitHub%% repository. Two other important ones you will meet in this module are ''restrict()'' and ''getd()'' (which also work on other data types, below). | + | There are a number of functions that work with ''tsd'' data: some of these can be found in the tsd [[https://github.com/mvdm/nsb2017/tree/master/shared/datatypes/tsd | folder]] in the %%GitHub%% repository. Two other important ones you will meet in this module are ''restrict()'' and ''getd()'' (which also work on other data types, below). |
| ==== Timestamp (TS) data-type ==== | ==== Timestamp (TS) data-type ==== | ||
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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/week2.1499027717.txt.gz · Last modified: 2018/07/07 10:19 (external edit)
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