R. Schmetterling, T. B. Burghi, and R. Sepulchre, "Online estimation of biophysical neural networks". In review, IEEE Transactions on Sepulchre. ?Adaptive Conductance Control?. Accepted for publication at IFAC Annual Reviews in Automatic Control, November December 2021. Preprint: [2111.02176] Online estimation of biophysical neural networks (arxiv.org)

C. Toschi, M. H. El-Sayed, T. B. Burghi, T. Sell, P. Moazen, Burghi and R. Sepulchre, ? L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, " Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial Online estimation of biophysical neural networksreaction time task". In review, Brain and Neuroscience Advances, October 2021. ?. Preprint; in review, IEEE Transactions on Automatic Control, November 2021.

C. Grussler, T.B. Toschi, M. H. El-Sayed, T. B. Burghi, S. Sojoudi, " T. Sell, P. Moazen, L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, ? Internally Hankel k-positive Dissociating reward sensitivity systems". In review, SIAM Journal on Control and Optimization, March 2021. Preprint: negative urgency effects on impulsivity in the 5-choice serial [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)reaction time task?. Under review, Brain and Neuroscience Advances, October 2021.

T. B. C. Grussler, T.B. Burghi, M. Schoukens and R. Sepulchre. S. Sojoudi, ? Feedback identification of conductance-based Internally Hankel $k$-positive systems models ?. ? Automatica 123, Article 109297 , January . Preprint; accepted for publication, SIAM Journal on Control and Optimization, March 2021.

T. B. Burghi, M. Schoukens, and R. Sepulchre. ? Feedback identification of conductance-based models?. Automatica 123, Article 109297, January 2021.

T. B. Burghi, M. Schoukens and R. Sepulchre. ? T. B. Burghi, Timothy O'Leary, and R. Sepulchre. ?System identification of biophysical neuronal models ?. 59th IEEE Conference on Decision and Control (CDC 2020) ? December 2020, Jeju Island, South Korea. Distributed online estimation of biophysical neural networks?. Preprint; in review, 61st IEEE Conference on Decision and Control (CDC 2022).

J. G. Lee, T. B. Burghi, M. Schoukens and R. Sepulchre. ? ?Induced contraction?. Under review, 61st IEEE Conference on Decision and Control (CDC). Mar. 2022. Feedback for Nonlinear System Identification?. 18th European Control Conference (ECC 2019) ? June 2019, Naples, Italy.

J. G. Lee and T. B. Burghi. ?Funnel control by induced contraction?. Under review, 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS). Feb. 2022.

T. B. Burghi, M. Schoukens, and R. Sepulchre. ? System identification of biophysical neuronal models?. 59th IEEE Conference on Decision and Control (CDC 2020) ? December 2020, Jeju Island, South Korea.

T. B. Burghi, M. Schoukens, and R. Sepulchre. ? Feedback for Nonlinear System Identification?. 18th European Control Conference (ECC 2019) ? June 2019, Naples, Italy.

?Identification T. B. Burghi, E. Morozova, S. Kedia, E. Marder, and T. O'Leary. "Learning a biophysical neural model during the time frame of Excitable Neuronal Systems?. 27th Annual Computational an experiment." FENS Forum 2022 (Federation of European Neuroscience Meeting (CNS*2018) ? Societies). Feb. 2022. July 2018, Seattle, WA, United States.

T. B. Burghi and Rodolphe Sepulchre. ?Identification of Excitable Neuronal Systems?. 27th Annual Computational Neuroscience Meeting (CNS*2018) ? July 2018, Seattle, WA, United States.