A Multilayer in-Place Learning Network for Development of General Invariances

@article{Weng2007AMI,
  title={A Multilayer in-Place Learning Network for Development of General Invariances},
  author={Juyang Weng and Tianyu Luwang and Hong Lu and Xiangyang Xue},
  journal={I. J. Humanoid Robotics},
  year={2007},
  volume={4},
  pages={281-320}
}
Currently, there is a lack of general-purpose, in-place learning engines that incrementally learn multiple tasks, to develop “soft” multi-task-shared invariances in the intermediate internal representation while a developmental robot interacts with its environment. In-place learning is a biologically inspired concept, rooted in the genomic equivalence principle, meaning that each neuron is responsible for its own development while interacting with its environment. With in-place learning, there… CONTINUE READING
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