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Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach.

M. Akbar, M. Yarossi, M. Martinez-Gost, M. Sommer, M. Dannhauer, S. Rampersad, D. Brooks, E. Tunik, and D. Erdogmus. PETRA, page 15:1-15:6. ACM, (2020)

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Prospects for transcranial temporal interference stimulation in humans: A computational study.S. Rampersad, B. Roig-Solvas, M. Yarossi, P. Kulkarni, E. Santarnecchi, A. Dorval, and D. Brooks. NeuroImage, (2019)On handling the layered structure of the skull in transcranial direct current stimulation models.S. Rampersad, D. Stegeman, and T. Oostendorp. EMBC, page 1989-1992. IEEE, (2011)Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations.L. Rupp, Z. Liu, J. Bergquist, S. Rampersad, D. White, J. Tate, D. Brooks, A. Narayan, and R. MacLeod. CinC, page 1-4. IEEE, (2020)Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models.A. Demirkaya, T. Imbiriba, K. Lockwood, S. Rampersad, E. Alhajjar, G. Guidoboni, Z. Danziger, and D. Erdogmus. EMBC, page 763-766. IEEE, (2021)UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines.J. Tate, Z. Liu, J. Bergquist, S. Rampersad, D. White, C. Charlebois, L. Rupp, D. Brooks, R. MacLeod, and A. Narayan. J. Open Source Softw., 8 (90): 4249 (October 2023)UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.A. Narayan, Z. Liu, J. Bergquist, C. Charlebois, S. Rampersad, L. Rupp, D. Brooks, D. White, J. Tate, and R. MacLeod. Comput. Biol. Medicine, (2023)Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach.M. Akbar, M. Yarossi, M. Martinez-Gost, M. Sommer, M. Dannhauer, S. Rampersad, D. Brooks, E. Tunik, and D. Erdogmus. PETRA, page 15:1-15:6. ACM, (2020)

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Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach.

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Disambiguation of "Rampersad, Sumientra"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach.

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Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach.