Noah Ledbetter, PhD

Ni, R., Ledbetter, N. M., & Barbour, D. L. (2013). Modeling of Topology-Dependent Neural Network Plasticity Induced by Activity-Dependent Electrical Stimulation. International IEEE/EMBS Conference on Neural Engineering: [Proceedings]. International IEEE EMBS Conference on Neural Engineering, 831–834. https://doi.org/10.1109/NER.2013.6696063

Sinha, D. B., Ledbetter, N. M., & Barbour, D. L. (2014). Spike-Timing Computation Properties of a Feed-Forward Neural Network Model. Frontiers in Computational Neuroscience, 8, 5. https://doi.org/10.3389/fncom.2014.00005

Song, X. D., Wallace, B. M., Gardner, J. R., Ledbetter, N. M., Weinberger, K. Q., & Barbour, D. L. (2015). Fast, Continuous Audiogram Estimation Using Machine Learning. Ear and Hearing, 36(6), e326-335. https://doi.org/10.1097/AUD.0000000000000186

Hawasli, A. H., Kim, D., Ledbetter, N. M., Dahiya, S., Barbour, D. L., & Leuthardt, E. C. (2016). Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations. Frontiers in Human Neuroscience, 10, 330. https://doi.org/10.3389/fnhum.2016.00330

Barbour, D. L., Song, X., Ledbetter, N., Gardner, J., & Weinberger, K. (2021). Fast, Continuous Psychometric Estimation System Utilizing Machine Learning and Associated Method of Use (United States Patent No. US11037677B2). https://patents.google.com/patent/US11037677B2