wilson-lab / FisherLuDAlessandroWilson_AnalysisCode

Analysis code from Fisher et al. 2019 manuscript.

FisherLuDAlessandroWilson_AnalysisCode

• Analysis code from Fisher et al. 2019 manuscript.

Figure 1:

analyzeOpenLoopTuningScript.m

• initial processing of visual tuning curves

plotOrderedReceptiveFields.m

• Plots heatmaps, histograms and population sum for E-PG visual responses data set

plotOrderedReceptiveFields_comparingResponseToPost.m

• Compares heatmaps, histograms and population sum for E-PG visual responses when the visual stimulus was present vs 250ms after the visual stimulus was removed.

plotVisualTuningVsDendriticLocation.m

• Scatter plot of max inhibition vs location of E-PG dendrite in the Ellipsoid body
• Circular correlation coefficient analysis of interactions between visual tuning and dendrite location

analyzedDeltaYawbyBarPosition.m

• initial processing of fly movement (delta Yaw) relative to bar position
• obtain a pvalue by comparing individual fly movement responses vs a bootstrap distribution for each bar position response
• analyze significance of p values from all flies across all cue positions using Bonferroni-Holms analysis

plotFlyPopulationDeltaYawByBarPosition.m

• compares fly movement response as a function of bar position. Calculates 95% confidence interval using bootstrap distribution from randomly drawn position responses

analyzedDeltaYawbyBarJumpDistance.m

• initial processing of fly movement (delta Yaw) relative to the distance the visual bar jumped
• obtain a pvalue by comparing individual fly movement responses vs a bootstrap distribution for each bar jump response
• compares grand fly movement response as a function of the distance the visual bar jumped. Calculates 95% confidence interval using bootstrap distribution

Figure 2:

analyzeClosedLoopTuningScript.m

• initial processing of closed loop heading tuning curves

plotOpenLoopVsClosednLoopTuningCurves.m

• Plots open loop and closed loop tuning curves
• analyzes open loop vs closed loop correlation coef. and compares to shuffled data
• Plots true and shuffled correlation values

Figure 3:

plotBarRandLoc_ringNeuron_180degScreens.m

• Loads R neuron visual responses, finds spikes, plots tuning curve

plotChrimsonResponseAmp.m

• Plots E-PG voltage response to chrimson stimuluation
• Scatter plot of mean amplitude vs controls

Figure 4:

PB_data_analysis.m

• Imaging and behavior data processing and analysis

PB_ROI_analysis.m

• ROI analysis function

Figure 5:

analyze2barRemappingData.m

• script used for checking data and consolidated tuning curves for a full remapping data set.

plot2barRemappingDataSet.m

• plot tuning curves for remapping data set, analyzes relationships between receptive field shape changes, absolute changes and modulation of heading tuning during 2 bar training.

plot1barControlDataSet.m

• plot tuning curves for control remapping data set

Helpers/dependencies:

• analysisClosedLoopTuning.m
• analyzeOpenLoopTuning.m
• HolmBonferroniTest.m
• twoSidePvalueFromDistribution.m
• ephySettings.m (Rig parameters)
• niceaxes.m
• findAveFlyMovementByTrial.m
• bluewhitered.m (color map, MatLab File Exchanges, by Nathan Childress)
• circ_corrcc.m (Circular Statistics toolbox for Matlab, by Philipp Berens)