Skip to content

Code accompanying the IJCNN 2018 paper "A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates"

Notifications You must be signed in to change notification settings

hkashyap/predictivePursuit

Repository files navigation

predictivePursuit

Code accompanying the paper:

Kashyap, H. J., Detorakis, G., Dutt, N., Krichmar, J. L., & Neftci, E. (2018). A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates. In International Joint Conference on Neural Networks (IJCNN).

http://www.socsci.uci.edu/~jkrichma/Kashyap-PredicitvePursuit-IJCNN2018.pdf

The code is tested using Matlab 2017a. If you use this code in your research, please cite the above paper.

Files:

main_sp_predict.m (main script to run the prediction and the initiation experiemnts)

sp_predict_ramp_pertur.m (script to run the predictive pursuit experiment with perturbation and phase shift)

sp_predict_random_target.m (script to run the predictive pursuit experiemnt for a random target)

get_accelaration.m (Calculates pursuit accelaration during initiation)

get_RS.m (plots retinal slip)

getWeights.m (RNN synapse weights)

About

Code accompanying the IJCNN 2018 paper "A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages