Stefan Mihalas

Affiliations: 
Johns Hopkins University, Baltimore, MD 
Area:
computational neuroscience
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"Stefan Mihalas"
Mean distance: 13.73 (cluster 6)
 
SNBCP
Cross-listing: Computational Biology Tree

Parents

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Mary B. Kennedy grad student 2006 Caltech
 (Quantitative model of calcium/calmodulin -dependent protein kinase II activation.)
Ernst Niebur post-doc Johns Hopkins

Children

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Brian H. Hu research scientist 2017-2020 Allen Institute
BETA: Related publications

Publications

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Billeh YN, Cai B, Gratiy SL, et al. (2020) Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron
de Vries SEJ, Lecoq JA, Buice MA, et al. (2019) A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex. Nature Neuroscience
Harris JA, Mihalas S, Hirokawa KE, et al. (2019) Hierarchical organization of cortical and thalamic connectivity. Nature
Gouwens NW, Sorensen SA, Berg J, et al. (2019) Classification of electrophysiological and morphological neuron types in the mouse visual cortex. Nature Neuroscience
Arkhipov A, Gouwens NW, Billeh YN, et al. (2018) Visual physiology of the layer 4 cortical circuit in silico. Plos Computational Biology. 14: e1006535
Seeman SC, Campagnola L, Davoudian PA, et al. (2018) Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex. Elife. 7
Teeter C, Iyer R, Menon V, et al. (2018) Generalized leaky integrate-and-fire models classify multiple neuron types. Nature Communications. 9: 709
Lee JH, Mihalas S. (2017) Visual processing mode switching regulated by VIP cells. Scientific Reports. 7: 1843
Lee JH, Koch C, Mihalas S. (2017) A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing. Frontiers in Computational Neuroscience. 11: 28
Gao M, Whitt JL, Huang S, et al. (2017) Experience-dependent homeostasis of 'noise' at inhibitory synapses preserves information coding in adult visual cortex. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372
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