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Cynthia R. Steinhardt
Cynthia R. Steinhardt
Postdoctoral Fellow, Columbia University
Verified email at columbia.edu
Title
Cited by
Cited by
Year
Fly wing vein patterns have spatial reproducibility of a single cell
L Abouchar, MD Petkova, CR Steinhardt, T Gregor
Journal of the Royal Society Interface 11 (97), 20140443, 2014
282014
Learning to control the brain through adaptive closed-loop patterned stimulation
S Tafazoli, CJ MacDowell, Z Che, KC Letai, CR Steinhardt, TJ Buschman
Journal of Neural Engineering 17 (5), 056007, 2020
222020
Registration of emg electrodes to reduce classification errors due to electrode shift
CR Steinhardt, J Bettthauser, C Hunt, N Thakor
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
102018
Characterizing and predicting cortical evoked responses to direct electrical stimulation of the human brain
CR Steinhardt, P Sacré, TC Sheehan, JH Wittig, SK Inati, S Sarma, ...
Brain stimulation 13 (5), 1218-1225, 2020
72020
Predicting response of spontaneously firing afferents to prosthetic pulsatile stimulation
CR Steinhardt, GY Fridman
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
72020
Direct current effects on afferent and hair cell to elicit natural firing patterns
CR Steinhardt, GY Fridman
Iscience 24 (3), 2021
62021
The Rules of Pulsatile Neurostimulation
CR Steinhardt, DE Mitchell, KE Cullen, GY Fridman
bioRxiv, 2021
42021
A Machine Learning-based Neural Implant Front End for Inducing Naturalistic Firing
CR Steinhardt, GY Fridman
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
12021
Correlates of Attention in the Cingulate Cortex During Gambling in Humans
C Taylor, P Greene, R D'Aleo, MS Breault, C Steinhardt, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
12020
Investigation of Architectures for Models of Neural Responses to Electrical Brain Stimulation
C Steinhardt, P Sacré, SK Inati, SV Sarma, KA Zaghloul
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
12019
Method and system for processing input signals using machine learning for neural activation
C STEINHARDT, G Fridman
US Patent App. 18/277,179, 2024
2024
Galvanic vs. pulsatile effects on decision-making networks: reshaping the neural activation landscape
PW Adkisson, CR Steinhardt, GY Fridman
Journal of Neural Engineering, 2023
2023
Difference in Network Effects of Pulsatile and Galvanic Stimulation
P Adkisson, GY Fridman, CR Steinhardt
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
2022
ID: 16222 Novel Neural Implant Front-End for Inducing Naturalistic Firing Using Machine Learning
C Steinhardt, G Fridman
Neuromodulation 25 (5), S56-S57, 2022
2022
A MODELING PERSPECTIVE ON DEVELOPING NATURALISTIC NEUROPROSTHETICS USING ELECTRICAL STIMULATION
CR Steinhardt
Johns Hopkins University, 2022
2022
Pulsatile electrical stimulation creates predictable, correctable disruptions in neural firing
CR Steinhardt, DE Mitchell, KE Cullen, GY Fridman
bioRxiv, 2021.08. 18.456731, 2021
2021
Learning to Induce Firing Patterns: Closed-loop Stimulation as a Stepping Stone Towards Adaptive Cognitive Prosthetic
C Steinhardt
2016
Supplementary Material: Fly wing vein patterns have spatial reproducibility of a single cell
L Abouchar, MD Petkova, CR Steinhardt, T Gregor
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