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个人简介
My interest lies in the topic of system identification, i.e. the finding of a mathematical model that maps the measurements of system inputs (visual stimuli) to system outputs (neuronal activity in the visual cortex of mice). The approach I chose for fitting these models is machine learning, more precisely deep convolutional neural networks (DCNNs). Identifying the underlying computations in a biological neural network using DCNNs can help the field in two ways: It can 1) provide insights about the functioning of biological neural networks for the neuroscience community and 2) it can identify useful inductive biases to be transferred to artificial neural networks for the machine learning community. My current project revolves around fitting such models that generalize between animals of the same species. Only if this condition is met, we can assume that the fitted model is not susceptible to subject-specific features and noise but captures general non-linear features that are characteristic for the visual cortex of mice as a whole.
研究兴趣
论文共 6 篇作者统计合作学者相似作者
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Konstantin F. Willeke,Paul G. Fahey,Mohammad Bashiri, Laura Hansel, Christoph Blessing,Konstantin-Klemens Lurz,Max F. Burg,Santiago A. Cadena,Zhiwei Ding,Kayla Ponder,Taliah Muhammad,Saumil S. Patel,
Conference on Neural Information Processing Systemspp.314-333, (2022)
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arxiv(2022)
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D-Core
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