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Dr. Hennig employs statistical and computational mathematical modeling to investigate the stability and processing of neuronal circuits. With a background in physics, he transitioned to neuroscience for his PhD, examining models of the vertebrate retina. His research is supported by a Medical Research Council Career Development Award, and his group has developed algorithms for primary data analysis of extracellular recordings, which have uncovered principles of circuit remodeling during chronic recordings of large neuronal networks. His current projects include population coding in the retina, and data-driven investigations of cortical circuits in rodent models of neurodevelopmental disorders, focusing on the development of efficient inference methods for large-scale neuronal circuit analysis.
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