Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
Frontiers in Neurorobotics, ISSN: 1662-5218, Vol: 16, Page: 848084
2022
- 5Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures5
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Article Description
The neuroplasticity rule Differential Extrinsic Plasticity (DEP) has been studied in the context of goal-free simulated agents, producing realistic-looking, environmentally-aware behaviors, but no successful control mechanism has yet been implemented for intentional behavior. The goal of this paper is to determine if “short-circuited DEP,” a simpler, open-loop variant can generate desired trajectories in a robot arm. DEP dynamics, both transient and limit cycles are poorly understood. Experiments were performed to elucidate these dynamics and test the ability of a robot to leverage these dynamics for target reaching and circular motions.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85132840793&origin=inward; http://dx.doi.org/10.3389/fnbot.2022.848084; http://www.ncbi.nlm.nih.gov/pubmed/35721277; https://www.frontiersin.org/articles/10.3389/fnbot.2022.848084/full; https://dx.doi.org/10.3389/fnbot.2022.848084; https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2022.848084/full
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