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Learning and Detecting Emergent Behavior in Networks of Cardiac Myocytes., , , , , and . HSCC, volume 4981 of Lecture Notes in Computer Science, page 229-243. Springer, (2008)Spatial Networks of Hybrid I/O Automata for Modeling Excitable Tissue., , , , , and . Electron. Notes Theor. Comput. Sci., 194 (3): 51-67 (2008)Fluorescence imaging of electrical activity in cardiac cells using an all-solid-state system., , , and . IEEE Trans. Biomed. Engineering, 51 (2): 333-341 (2004)Corrigendum to: Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations Comput. Biol. Med. 65C (2015) 200-208., , , and . Comp. in Bio. and Med., (2015)Detecting Space-Time Alternating Biological Signals Close to the Bifurcation Point., , and . IEEE Trans. Biomed. Engineering, 57 (2): 316-324 (2010)Learning and detecting emergent behavior in networks of cardiac myocytes., , , , , and . Commun. ACM, 52 (3): 97-105 (2009)Learning Cycle-Linear Hybrid Automata for Excitable Cells., , , , , and . HSCC, volume 4416 of Lecture Notes in Computer Science, page 245-258. Springer, (2007)Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations., , , and . Comp. in Bio. and Med., (2015)Ultrasound-Induced Insulin Release as a Potential Novel Treatmentfor Type 2 Diabetes Mellitus., , , , , , , , , and 1 other author(s). EMBC, page 6060-6063. IEEE, (2018)In Silico Populations Optimized on Optogenetic Recordings Predict Drug Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes., , , , , , and . CinC, page 1-4. www.cinc.org, (2018)