1 code implementation • 14 Jul 2020 • Jungsik Hwang
An experiment with the Korean stock market data showed that the model was able to capture the relative similarity between a large number of stock prices in its latent space.
no code implementations • 15 May 2018 • Jungsik Hwang, Jun Tani
The results also showed that the different way of learning the basic actions induced the self-organization of the memory structure with the different characteristics, resulting in the generation of different levels of creative actions.
no code implementations • 8 Jun 2017 • Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani
This study presents a dynamic neural network model based on the predictive coding framework for perceiving and predicting the dynamic visuo-proprioceptive patterns.
no code implementations • 8 Jun 2017 • Jungsik Hwang, Jun Tani
This study investigates how adequate coordination among the different cognitive processes of a humanoid robot can be developed through end-to-end learning of direct perception of visuomotor stream.
no code implementations • 9 Jul 2015 • Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani
The current study examines how adequate coordination among different cognitive processes including visual recognition, attention switching, action preparation and generation can be developed via learning of robots by introducing a novel model, the Visuo-Motor Deep Dynamic Neural Network (VMDNN).