NeuroLISP: High-level symbolic programming with attractor neural networks | 0 | 0.34 | 2022 |
High-Level Motor Planning Assessment During Performance Of Complex Action Sequences In Humans And A Humanoid Robot | 0 | 0.34 | 2021 |
Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies. | 1 | 0.36 | 2018 |
Learning in a Continuous-Valued Attractor Network | 0 | 0.34 | 2018 |
A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition. | 2 | 0.38 | 2018 |
Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks. | 2 | 0.39 | 2018 |
A limit-cycle self-organizing map architecture for stable arm control. | 0 | 0.34 | 2017 |
Imitation Learning As Cause-Effect Reasoning | 1 | 0.37 | 2016 |
A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements | 4 | 0.42 | 2015 |
An Object-Centric Paradigm for Robot Programming by Demonstration | 1 | 0.37 | 2015 |
A virtual demonstrator environment for robot imitation learning | 1 | 0.35 | 2015 |
Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance. | 0 | 0.34 | 2014 |