Stimulus Tuning¶
Get the stimulus tuning and tuning curves of neurons.
The output from this plot node can also be used for various things downstream, such as hierarchical clustering to sort your cells based on their tuning, visualizing the tuning of each neuron using a SpaceMap plot, and much more. See the video tutorial for examples.
Video Tutorial¶
This tutorial uses part of the CRCNS pvc-7 dataset from the Allen Institute to get stimulus tuning curves, perform hierarchical clustering and dimensionality reduction.
Layout¶

Controls¶
Parameter |
Description |
---|---|
data_column |
Data column used to determine the stimulus tuning of the cells |
method |
Use one of |
start offset |
Use a start offset for the stimulus periods (can be either positive or negative) |
end offset |
Use a end offset for the stimulus periods (can be either positive or negative) |
DPT column |
Data column that is shown in the Datapoint Tracer. |
Set |
Set the stimulus extraction parameters defined above. |
Save |
Usage¶
Set the desired parameters for data_column, method, start offset, end offset and DPT column.
Click Set.
Choose a Sample from the list.
Click on an ROI number to view the tuning curve, and corresponding spatial localization and curve in the Datapoint Tracer.
You can use the output of this plot node for further analysis, as show in the tutorial video.