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Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple
  Time-scale Recurrent Models

Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models

IEEE International Joint Conference on Neural Network (IJCNN), 2017
7 February 2017
Junpei Zhong
Angelo Cangelosi
T. Ogata
ArXiv (abs)PDFHTML

Papers citing "Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models"

3 / 3 papers shown
A journey in ESN and LSTM visualisations on a language task
A journey in ESN and LSTM visualisations on a language task
Alexandre Variengien
X. Hinaut
238
9
0
03 Dec 2020
Encoding Longer-term Contextual Multi-modal Information in a Predictive
  Coding Model
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
Junpei Zhong
T. Ogata
Angelo Cangelosi
AI4CE
93
4
0
17 Apr 2018
AFA-PredNet: The action modulation within predictive coding
AFA-PredNet: The action modulation within predictive coding
Junpei Zhong
Angelo Cangelosi
Xinzheng Zhang
T. Ogata
110
12
0
11 Apr 2018
1