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Companion code and data for Bonnen et al (2019) Nature Neuroscience.

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kbonnen/BinocularViewing3dMotion

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This repository accompanies: Bonnen, K.T., Czuba, T.B., Whritner, J., Kohn, A., Huk, A.C., & Cormack, L.K.
(2019). Binocular viewing geometry shapes the neural representation of the dynamic three-dimensional environment. Nature Neuroscience.

This repository includes code for the 3D model described in the paper as well as accompanying analyses and psychophysical data.


Description of folders/files in top directory

decoding: This folder contains 3 simulations which simulate from populations based on the 3D model, a von Mises model and an idealized von Mises model.

decodingResults: Analyses of model predictions generated by the scripts found in the decoding folder.

helperFunctions: A variety of support functions primarily for the 3D model.

psychophysics: Psychophysical data and analysis code to plot the data.

Figure2_SingleNeuronExamples: This script demonstrates how to visualize individual neural tuning curves. It can be used to see how the tuning shapes change as tuning parameters and viewing distance change.

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Companion code and data for Bonnen et al (2019) Nature Neuroscience.

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