Ralph Etienne-Cummings
Johns Hopkins University
298 Papers
2.3K Citations
Ralph Etienne-Cummings is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Pixel & Neuromorphic engineering. The author has an hindex of 40, co-authored 290 publications. Previous affiliations of Ralph Etienne-Cummings include University of Cape Town & Southern Illinois University Carbondale.
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Papers
A Model-Based Systems Engineering Approach to Trade Space Exploration of Implanted Wireless Biotelemetry Communication Systems
TL;DR: This paper summarizes the application of model-based systems engineering (MBSE) to the development of a system trade study and decision-making tool for implantable ultra-wideband (UWB) wireless biotelemetry communications systems.
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How is motion integrated into a proto-object based visual saliency model?
Jamal Lottier Molin,Ralph Etienne-Cummings,Ernst Niebur +2 more
- 18 Mar 2015
TL;DR: This paper investigates the most advantageous and biologically-plausible manner in which motion should be applied to the current model of proto-object based visual saliency, and investigates the type of motion that should be extracted in such a bottom-up, feed-forward model as well as where it should be incorporated into the model.
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Patent
Adaptive and reconfigurable system for dc motor control
Peter Kazanzides,N. Ekekwe,Ralph Etienne-Cummings +2 more
- 03 Apr 2008
TL;DR: In this article, an integrated circuit for controlling a DC motor is disclosed, which includes at least one digital position and speed circuit (DPS) for providing measurements of speed, position and direction of the motor, the DPS being in signal communication with the motor for receiving a pair of signals having a quadrature relationship.
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A spiking silicon central pattern generator with floating gate synapses [robot control applications]
Francesco Tenore,R.J. Vogelstein,Ralph Etienne-Cummings,Gert Cauwenberghs,M.A. Lewis,P. Hasler +5 more
- 23 May 2005
TL;DR: The patterns generated by these circuits are shown to be sufficient to control a biped robot with a variety of different locomotory gaits and to show how elaborate and biologically-plausible CPG networks can be implemented by controlling synaptic weights.
A Simple Neural Cross-Correlation Engine
Jonathan Tapson,Ralph Etienne-Cummings +1 more
- 27 May 2007
TL;DR: The authors show that the system is capable of extracting the cross-correlation components, and therefore the range information, in the pseudorandom gold codes used to provide ranging signals in the global positioning system (GPS).
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