Eric A. Pohlmeyer

Johns Hopkins University Applied Physics Laboratory — United States

Neuroscience · Life Sciences

14h-index886citations32works0.02yr avg
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Research Topics

EEG and Brain-Computer Interfaces(29), Neuroscience and Neural Engineering(25), Muscle activation and electromyography studies(12), Advanced Memory and Neural Computing(7), Neural dynamics and brain function(7)

Publications32 total

Chronic recordings from the marmoset motor cortex reveals modulation of neural firing and local field potentials overlap with macaques
Journal of Neural Engineering·2021Open Access
Novel intraoperative online functional mapping of somatosensory finger representations for targeted stimulating electrode placement: technical note
Journal of neurosurgery·2021· 19 cited
Novel intraoperative online functional mapping of somatosensory finger representations for targeted stimulating electrode placement
2020· 3 citedOpen Access
Simultaneous classification of bilateral hand gestures using bilateral microelectrode recordings in a tetraplegic patient
2020· 15 citedOpen Access
Intracortical Microstimulation Elicits Human Fingertip Sensations
2020· 32 citedOpen Access
Developing Next-Generation Brain Sensing Technologies—A Review
IEEE Sensors Journal·2019· 39 citedOpen Access
Developing Next-generation Brain Sensing Technologies - A Review.
Apollo (University of Cambridge)·2019· 1 citedOpen Access
Beyond intuitive anthropomorphic control: recent achievements using brain computer interface technologies
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2017· 7 cited
Classification of pilot-induced oscillations during in-flight piloting exercises using dry EEG sensor recordings
2016· 14 cited
Flight simulation using a Brain-Computer Interface: A pilot, pilot study
Experimental Neurology·2016· 36 cited
Kernel Temporal Differences for Neural Decoding
Computational Intelligence and Neuroscience·2015· 12 citedOpen Access
Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
PLoS ONE·2014· 76 citedOpen Access
Extraction of error related local field potentials from the striatum during environmental perturbations of a robotic arm
2013· 2 cited
Representation of natural arm and robotic arm movement in the striatum of a marmoset engaged in a two choice task
2013· 2 cited
Towards autonomous neuroprosthetic control using Hebbian reinforcement learning
Journal of Neural Engineering·2013· 40 cited
A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces
2013· 1 cited
Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI
2013· 7 cited
Brain-machine interface control of a robot arm using actor-critic rainforcement learning
2012· 29 cited
Closing the loop in cortically-coupled computer vision: a brain–computer interface for searching image databases
Journal of Neural Engineering·2011· 86 cited
Combining computer and human vision into a BCI: Can the whole be greater than the sum of its parts?
2010· 8 cited
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Frequent Co-authors

Lee E. Miller(10), Justin C. Sanchez(9), Eric J. Perreault(7), Shijia Geng(7), Noeline W. Prins(7), Sara A. Solla(6), Brock A. Wester(6), Matthew S. Fifer(5), Francesco V. Tenore(5), Babak Mahmoudi(4), David P. McMullen(4), Tessy M. Thomas(4), Luke E. Osborn(4), Robert W. Nickl(4), Daniel N. Candrea(4), Sliman J. Bensmaı̈a(4), William S. Anderson(4), Nathan E. Crone(4), Pablo Celnik(4), Gabriela Cantarero(4)