@inproceedings{54701eacf22e45acaf9da873cf1fddf0,
title = "A robotic system for neuronal control",
abstract = "In order to investigate neuronally derived algorithms for feedback and control, one joint of a conventional robotic arm was fitted with sensory and motor devices consistent with biological memory-motor models. In this system, a single potentiometer senses angular position of a given joint. From this signal, the forward and reverse velocity are derived, as are the acceleration and deceleration. Controlling the stepper motor that drives this joint is an IC-based artifical neuron that has been specifically designed for this task. It possesses multiple excitatory and inhibitory input ports, and its output signals are amplified to a full 5-V level. The system has been constructed and successfully used to demonstrate empirical physiologically based models of inhibitory positional feedback and synaptic learning.",
author = "S. Wolpert and Laffely, {A. J.} and Hilton, {J. A.}",
year = "1992",
month = jan,
day = "1",
doi = "10.1109/NEBC.1992.285961",
language = "English (US)",
series = "Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "73--74",
booktitle = "Proceedings of the 18th IEEE Annual Northeast Bioengineering Conference, NEBEC 1992",
address = "United States",
note = "18th IEEE Annual Northeast Bioengineering Conference, NEBEC 1992 ; Conference date: 12-03-1992 Through 13-03-1992",
}