Martin Schrimpf

Affiliations: 
2011-2014 Informatik TU Munich, München, Bayern, Germany 
 2014-2017 TU Munich, München, Bayern, Germany 
 2014-2017 LMU Munich, München, Bayern, Germany 
 2014-2017 University of Augsburg 
 2015-2015 Siemens AG 
 2015-2016 Labs Oracle 
 2016-2016 Medical School Harvard University, Cambridge, MA, United States 
 2017- Brain and Cognitive Sciences Massachusetts Institute of Technology, Cambridge, MA, United States 
 2017-2017 Einstein AI Research Salesforce 
Area:
computational neuroscience, vision, deep learning, artificial neural networks
Website:
http://mschrimpf.com/
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Publications

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Zhuang C, Yan S, Nayebi A, et al. (2021) Unsupervised neural network models of the ventral visual stream. Proceedings of the National Academy of Sciences of the United States of America. 118
Schrimpf M, Kubilius J, Lee MJ, et al. (2020) Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence. Neuron
Tang H, Schrimpf M, Lotter W, et al. (2018) Recurrent computations for visual pattern completion. Proceedings of the National Academy of Sciences of the United States of America
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