Publications and Conferences
Journal Publications
[3] K.-Y. Huang, G. Upadhyay, Y. Ahn, M. Sakakura, G. J. Pagan-Diaz, Y. Cho, A. C. Weiss, C. Huang, J. W. Mitchell, J. Li, Y. Tan, Y.-H. Deng, A. R. Ellis-Mohr, Z. Dou, X. Zhang, S. Kang, Q. Chen, J. V. Sweedler, S. G. Im, R. Bashir, H. J. Chung, G. Popescu, M. U. Gillette, M. Gazzola, H. Kong, “Neuronal Innervation Regulates the Secretion of Neurotrophic Myokines and Exosomes from Skeletal Muscle,” Proceedings of the National Academy of Sciences, Vol. 121, No. 19, April 2024.
[2] X. Zhang, Z. Dou, S. H. Kim, G. Upadhyay, D. Havert, S. Kang, K. Kazemi, K.-Y. Huang, O. Aydin, R. Huang, S. Rahman, A. Ellis-Mohr, H. A. Noblet, K. H. Lim, H. J. Chung, H. J. Gritton, M. T. A. Saif, H. J. Kong, J. M. Beggs, M. Gazzola, “Mind In Vitro Platforms: Versatile, Scalable, Robust, and Open Solutions to Interfacing with Living Neurons,” Advanced Science, Vol. 11, No. 11, March 2024.
[1] Y. Zhang, J. Cui, K.-Y. Chen, S. H. Kuo, J. Sharma, R. Bhatta, Z. Liu, A. R. Ellis-Mohr, F. An, J. Li, Q. Chen, K. D. Foss, H. Wang, Y. Li, A. M. McCoy, G. W. Lau, Q. Cao, "A smart coating with integrated physical antimicrobial and strain-mapping functionalities for orthopedic implants," Science Advances, Vol. 9, No. 18, May 2023.
Conference Publications
[2] A. R. Ellis-Mohr, M. Gazzola, L. R. Varshney, “Synthetic Neurocomputers: Advancing Scientific Research through Computing with Living Neurons,” in U.S. Department of Energy Analog Computing for Science Workshop, Bethesda, Maryland, 11-13 September 2024.
[1] A. R. Ellis-Mohr and L. R. Varshney, “Directed Information Flow in Computing Systems with Living Neurons,” in Proceedings of the 2024 IEEE International Symposium on Information Theory Workshops, Athens, Greece, 7-12 July 2024.
Conference Presented Works
External
[2] A. R. Ellis-Mohr and L. R. Varshney, “Directed Information Flow in Computing Systems with Living Neurons,” presented at NeurIT: Information Theory in Neuroscience and Neuroengineering Workshop in IEEE International Symposium on Information Theory, Athens, Greece, 7 July 2024.
[1] X. Zhang, Z. Dou, G. Upadhyay, S.-H. Kim, D. Havert, K. Y. Huang, A. R. Ellis-Mohr, R. Huang, O. Aydin, S. Kang, T. Saif, H. J. Kong, J. M. Beggs, M. Gazzola, "A versatile, accurate, low-cost and open-source electrophysiology solution for in-vitro neuronal cultures," presented at American Physical Society March Meeting, Las Vegas, Nevada, 6 March 2023.
Internal
[3] “A finite-time Lyapunov exponent analysis pipeline,” Mind in Vitro Symposium, September 2023.
[2] “Dual instability regions in saccadic eye movements: A finite-time Lyapunov exponent analysis,” Summer@Simons Symposium, August 2023.
[1] “Living Computers for Artificial Biological Intelligence,” Harnessing Data for Materials Symposium, August 2022.
Other Notable Conferences Attended
Professional Development
[2] Computational and Systems Neuroscience (COSYNE) 2024
[1] Trust Perspectives in Machine Learning, Law, and Public Policy at Northwestern Law