GLM_Tensorflow

This repository contains code used in Tseng et al. 2022 for fitting generalized linear models (GLM) in Tensorflow 1.

For an updated version of the code in Tensorflow 2 and tutorials for using it and fitting GLMs to real calcium imaging data, please visit the repository GLM_Tensorflow_2.

Software requirements for this version of code:

• numpy 1.16.2
• tensorflow 1.13.1
• scipy 1.5.2
• statesmodels 0.11.1
• matplotlib 3.0.3

References:

Tseng, S.-Y., Chettih, S.N., Arlt, C., Barroso-Luque, R., and Harvey, C.D. (2022). Shared and specialized coding across posterior cortical areas for dynamic navigation decisions. Neuron 110, 2484–2502.e16. [link]