Search Results for author: Jungsik Hwang

Found 5 papers, 1 papers with code

Achieving Synergy in Cognitive Behavior of Humanoids via Deep Learning of Dynamic Visuo-Motor-Attentional Coordination

no code implementations9 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).

Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach

no code implementations8 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.

Decision Making

Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning

no code implementations8 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.

Action Generation

A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment

no code implementations15 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.

Modeling Financial Time Series using LSTM with Trainable Initial Hidden States

1 code implementation14 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.

Time Series Time Series Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.