[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

オプティカルフロー解析ソフトはこちらです。
https://github.com/eijwat/Optical_Flow_Analyzer


Watanabe E, Kitaoka A, Sakamoto K, Yasugi M and Tanaka K (2018)
Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction.
Front. Psychol. 9:345. doi: 10.3389/fpsyg.2018.00345
https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00345