An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction-Reference-Cited by-同舟云学术

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An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction

Published:2018-12 Issue:4 Volume:10 Page:918-928
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Mici Luiza^ORCID,Parisi German I.,Wermter Stefan^ORCID

Funder

EU- and City of Hamburg-Funded Program Pro-Exzellenzia 4.0

German Research Foundation DFG

Hamburg Landesforschungsförderungsprojekt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/8567843/08353787.pdf?arnumber=8353787

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Biologically Inspired Self-Organizing Computational Model to Mimic Infant Learning;Machine Learning and Knowledge Extraction;2023-05-15

2. How the Brain Achieves Real-Time Vision: A Spiking Position Perception Model;IEEE Transactions on Cognitive and Developmental Systems;2023

3. Event-triggered dynamic output quantized control for 2-D switched systems;Nonlinear Analysis: Modelling and Control;2022-12-23

4. Self-configuring feedback loops for sensorimotor control;eLife;2022-11-14

5. Error Prediction for Large Optical Mirror Processing Robot Based on Deep Learning;Strojniški vestnik - Journal of Mechanical Engineering;2022-03-25

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