| Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition M Jung, H Lee, J Tani Neural Networks 105, 356-370, 2018 | 40 | 2018 |
| Self-organization of spatio-temporal hierarchy via learning of dynamic visual image patterns on action sequences M Jung, J Hwang, J Tani PloS one 10 (7), e0131214, 2015 | 37 | 2015 |
| Goal-directed behavior under variational predictive coding: Dynamic organization of visual attention and working memory M Jung, T Matsumoto, J Tani 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 27 | 2019 |
| Recognition of visually perceived compositional human actions by multiple spatio-temporal scales recurrent neural networks H Lee, M Jung, J Tani IEEE Transactions on Cognitive and Developmental Systems 10 (4), 1058-1069, 2017 | 20 | 2017 |
| Multiple spatio-temporal scales neural network for contextual visual recognition of human actions M Jung, J Hwang, J Tani 4th International Conference on Development and Learning and on Epigenetic …, 2014 | 15 | 2014 |
| A deep learning approach for seamless integration of cognitive skills for humanoid robots J Hwang, M Jung, J Kim, J Tani 2016 Joint IEEE International Conference on Development and Learning and …, 2016 | 13 | 2016 |
| Achieving" synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination J Hwang, M Jung, N Madapana, J Kim, M Choi, J Tani 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 11 | 2015 |
| Iterative VAE as a predictive brain model for out-of-distribution generalization V Boutin, A Zerroug, M Jung, T Serre arXiv preprint arXiv:2012.00557, 2020 | 8 | 2020 |
| Emergence of content-agnostic information processing by a robot using active inference, visual attention, working memory, and planning JF Queiẞer, M Jung, T Matsumoto, J Tani Neural Computation 33 (9), 2353-2407, 2021 | 7 | 2021 |
| Generating goal-directed visuomotor plans based on learning using a predictive coding-type deep visuomotor recurrent neural network model M Choi, T Matsumoto, M Jung, J Tani arXiv preprint arXiv:1803.02578, 2018 | 5 | 2018 |
| Characteristics of visual categorization of long-concatenated and object-directed human actions by a multiple spatio-temporal scales recurrent neural network model HL Tani arXiv preprint arXiv:1602.01921, 2016 | 5 | 2016 |
| KuraNet: systems of coupled oscillators that learn to synchronize M Ricci, M Jung, Y Zhang, M Chalvidal, A Soni, T Serre arXiv preprint arXiv:2105.02838, 2021 | 4 | 2021 |
| Fast inference of spinal neuromodulation for motor control using amortized neural networks LN Govindarajan, JS Calvert, SR Parker, M Jung, R Darie, P Miranda, ... Journal of neural engineering 19 (5), 056037, 2022 | 3 | 2022 |
| Adaptive detrending for accelerating the training of convolutional recurrent neural networks M Jung, J Tani 第 28 回 日本神経回路学会全国大会 講演論文集, 48-49, 2018 | 1 | 2018 |
| Unified spatio-temporal neural networks for contextual action understanding M Jung 한국과학기술원, 2019 | | 2019 |
| Generating Goal-directed Visuomotor Plans with Supervised Learning using a Predictive Coding Deep Visuomotor Recurrent Neural Network T Matsumoto, M Choi, M Jung, J Tani 第 28 回 日本神経回路学会全国大会 講演論文集, 134-135, 2018 | | 2018 |
