World's Best Scientists 2026 revealed!
Ralph Etienne-Cummings

Ralph Etienne-Cummings

D-Index & Metrics

Computer Science

D-Index
45
Citations
9355
World Ranking
7142
National Ranking
3131

Electronics and Electrical Engineering

D-Index
46
Citations
9576
World Ranking
3351
National Ranking
1239

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to neuromorphic sensory-motor circuits and systems

Overview

Ralph Etienne-Cummings is affiliated with Johns Hopkins University in the United States. Their research spans several fields of study, including Neuroscience and Engineering, with a particular focus on Electrical and Electronic Engineering, Cognitive Neuroscience, and Cellular and Molecular Neuroscience. Their work also encompasses Computer Vision and Pattern Recognition as well as Epidemiology.

The scientist's research topics include Advanced Memory and Neural Computing, Neuroscience and Neural Engineering, Olfactory and Sensory Function Studies, Data-Driven Disease Surveillance, Visual Attention and Saliency Detection, Memory and Neural Mechanisms, and CCD and CMOS Imaging Sensors.

Ralph Etienne-Cummings has contributed to numerous publications across various journals and venues. Their frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Scientific Reports, Neuromorphic Computing and Engineering, and Frontiers in Artificial Intelligence.

Recent papers by Ralph Etienne-Cummings include:

  • First Organoid Intelligence (OI) workshop to form an OI community, 2023, Frontiers in Artificial Intelligence
  • A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States, 2021, Scientific Reports
  • Neuromorphic applications in medicine, 2023, Journal of Neural Engineering
  • Closed-loop bioelectronic medicine for diabetes management, 2020, Bioelectronic Medicine
  • Analysis and Design Methodology of RF Energy Harvesting Rectifier Circuit for Ultra-Low Power Applications, 2022, IEEE Open Journal of Circuits and Systems

The scientist frequently collaborates with other researchers such as Robert D. Stevens, Amparo Güemes, Khaled Aboumerhi, John Rattray, and Ernst Niebur.

Ralph Etienne-Cummings was recognized as an IEEE Fellow in 2012 for contributions to neuromorphic sensory-motor circuits and systems.

Best Publications

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • A biomorphic digital image sensor

    E. Culurciello;R. Etienne-Cummings;K.A. Boahen

  • Decoding of Individuated Finger Movements Using Surface Electromyography

    F.V.G. Tenore;A. Ramos;A. Fahmy;S. Acharya

  • HFirst: A Temporal Approach to Object Recognition

    Garrick Orchard;Cedric Meyer;Ralph Etienne-Cummings;Christoph Posch

  • Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

    Chetan Singh Thakur;Jamal Lottier Molin;Gert Cauwenberghs;Giacomo Indiveri

  • Towards the Control of Individual Fingers of a Prosthetic Hand Using Surface EMG Signals

    F. Tenore;A. Ramos;A. Fahmy;S. Acharya

  • Cmos Imagers: From Phototransduction To Image Processing

    Orly Yadid-Pecht;Ralph Etienne-Cummings

  • A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface

    Xilin Liu;Milin Zhang;Tao Xiong;Andrew G. Richardson

  • Biomorphic rhythmic movement controller

    Ralph Etienne-Cummings;M. Lewis

  • Continuous decoding of finger position from surface EMG signals for the control of powered prostheses

    Ryan J. Smith;Francesco Tenore;David Huberdeau;Ralph Etienne-Cummings

  • Asynchronous Decoding of Dexterous Finger Movements Using M1 Neurons

    V. Aggarwal;S. Acharya;F. Tenore;Hyun-Chool Shin

  • A foveated silicon retina for two-dimensional tracking

    R. Etienne-Cummings;J. Van der Spiegel;P. Mueller;Mao-Zhu Zhang

  • An in silico central pattern generator: silicon oscillator, coupling, entrainment, and physical computation

    M. Anthony Lewis;Ralph Etienne-Cummings;Mitra J. Hartmann;Zi Rong Xu

  • A model of proto-object based saliency.

    Alexander F. Russell;Stefan Mihalaş;Rudiger von der Heydt;Ernst Niebur

  • CMOS Camera With In-Pixel Temporal Change Detection and ADC

    Y.M. Chi;U. Mallik;M.A. Clapp;E. Choi

  • Temporal change threshold detection imager

    U. Mallik;M. Clapp;E. Choi;G. Cauwenberghs

  • A Multichip Neuromorphic System for Spike-Based Visual Information Processing

    R. Jacob Vogelstein;Udayan Mallik;Eugenio Culurciello;Gert Cauwenberghs

  • A focal plane visual motion measurement sensor

    R. Etienne-Cummings;J. Van der Spiegel;P. Mueller

  • Which Photodiode to Use: A Comparison of CMOS-Compatible Structures

    K. Murari;R. Etienne-Cummings;N. Thakor;G. Cauwenberghs

  • A programmable focal-plane MIMD image processor chip

    R. Etienne-Cummings;Z.K. Kalayjian;Donghui Cai

  • The Microbead: A 0.009 mm 3 Implantable Wireless Neural Stimulator

    Adam Khalifa;Yuxin Liu;Yasha Karimi;Qihong Wang

  • Neuromorphic vision sensors

    R. Etienne-Cummings;J. Van der Spiegel

Frequent Co-Authors

Nitish V. Thakor
Nitish V. Thakor National University of Singapore
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Trac D. Tran
Trac D. Tran Johns Hopkins University
J. Van der Spiegel
J. Van der Spiegel University of Pennsylvania
Ernst Niebur
Ernst Niebur Johns Hopkins University
Eugenio Culurciello
Eugenio Culurciello Purdue University West Lafayette
André van Schaik
André van Schaik Western Sydney University
Emad M. Boctor
Emad M. Boctor Johns Hopkins University
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University

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