[code] PredNet in Chainer and related data
PredNet in Chainer and related data are here: https://github.com/eijwat/Predictive_Coding_DNN_S https://doi.org/10.6084/m9.figshare.5483710 （without tensorboard = faster version） or https://github.com/eijwat/Predictive_Coding_DNN_TB https://doi.org/10.6084/m9.figshare.7801154 （with tensorboard） or https://github.com/eijwat/prednet_in_chainer_py3 (without tensorboard, python 3, cuda11, cupy9.4, ubuntu20.04) or https://github.com/LanaSina/chainer_prednet (Modularized by LanaSina) Sample Weight Models (for snake illusion) https://doi.org/10.6084/m9.figshare.11931222 Sample Weight Models (for gray scale images) https://doi.org/10.6084/m9.figshare.13280120 Test data (snake illusion) https://doi.org/10.6084/m9.figshare.5483680 Training data (for snake illusion) https://doi.org/10.6084/m9.figshare.5483668 Training data (for snake illusion) <- Bug-fixed version http://www.nibb.ac.jp/neurophys/download/29v.mp4 Refer to: Watanabe E, Kitaoka A, Sakamoto K, Yasugi M and Tanaka K (2018) ...