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

../../_images/stim_tuning.png

Controls

Parameter

Description

data_column

Data column used to determine the stimulus tuning of the cells

method

Use one of mean, median, max or min response within a stimulus period to determine the tuning

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

Save the plot data and state in an interactive form

Usage

  1. Set the desired parameters for data_column, method, start offset, end offset and DPT column.

  2. Click Set.

  3. Choose a Sample from the list.

  4. Click on an ROI number to view the tuning curve, and corresponding spatial localization and curve in the Datapoint Tracer.

  5. You can use the output of this plot node for further analysis, as show in the tutorial video.