Towards a robotic model of the mirror neuron system
... The discovery of mirror neurons gave rise to various computational models, mainly based on artificial neural networks. Computational models of MNS are considered a powerful tool for explaining the mirror neuron function and emergence [12]. Most of the models aim at capturing the actual neural circui ...
... The discovery of mirror neurons gave rise to various computational models, mainly based on artificial neural networks. Computational models of MNS are considered a powerful tool for explaining the mirror neuron function and emergence [12]. Most of the models aim at capturing the actual neural circui ...
Developing Effective Robot Teammates for Human
... helpful throughout task execution. These assistive behaviors can be generalized by applying them across similar substructures within the HTN. We utilize human-in-the-loop reinforcement learning to build personalized user models for determining which assistive behaviors to apply at a given HTN node, ...
... helpful throughout task execution. These assistive behaviors can be generalized by applying them across similar substructures within the HTN. We utilize human-in-the-loop reinforcement learning to build personalized user models for determining which assistive behaviors to apply at a given HTN node, ...
phys chapter 51 [3-20
... but not position specific (complex cells; stimulated by both of set of parallel lines) Some neurons in outer layers of visual columns stimulated only by lines or borders of specific lengths, specific angulated shapes, or images that have other characteristics o As one goes farther into analytical ...
... but not position specific (complex cells; stimulated by both of set of parallel lines) Some neurons in outer layers of visual columns stimulated only by lines or borders of specific lengths, specific angulated shapes, or images that have other characteristics o As one goes farther into analytical ...
