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This thread if for anyone interested in analyzing the SLAP2 data for receptive field sizes, locations etc..
ORIENT YOURSELF ABOUT THE EXPERIMENTAL SCOPE AND METHODOLOGY #76
WHAT HAS BEEN DONE ALREADY?
We have basic python code provided by Jérôme Lecoq and Carter Peene to plot the receptive fields of individual ROIs (dendritic spines) based on the glutamate signal (see next section).
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This thread if for anyone interested in analyzing the SLAP2 data for receptive field sizes, locations etc..
ORIENT YOURSELF ABOUT THE EXPERIMENTAL SCOPE AND METHODOLOGY
#76
WHAT HAS BEEN DONE ALREADY?
We have basic python code provided by Jérôme Lecoq and Carter Peene to plot the receptive fields of individual ROIs (dendritic spines) based on the glutamate signal (see next section).
EXISTING CODE TO BUILD ON:
https://allenneuraldynamics.github.io/openscope-community-predictive-processing/notebooks/pilot_analysis_rfs/
WHAT CAN I DO AS A NEXT STEP?
That's entirely up to you! Here are some ideas:
-compare if and how ROIs with overlapping receptive fields share orientation tuning or oddball responses
-examine temporal dynamics, such as trial-by-trial correlations
create population statistics (population receptive field and deviations)
examine whether receptive fields are static or drift over the course of the presentations
compare trial mean versus median
convert the receptive fields into a 2D map of t-scores
examine the relationship between receptive field size/location and the orientation if the gratings (there were 3)
examine the relationship between receptive field size/location and response magnitude of each ROI
search the literature for what others have found out about V1 receptive fields and open questions
extend the analysis to more of the imaging sessions (right now, we only analyze one of them)
anything else you can think of or find interesting
DISCUSS YOUR IDEAS AND RESULTS
Share your plans, figures, and codes here to coordinate with others:
#79
I STILL DO NOT KNOW OR FEEL UNSURE ABOUT WHAT TO DO
Brainstorm with others on here:
#78
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