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David Cox

Affiliations: 
Rowland Institute, Harvard, Cambridge, MA, United States 
Area:
Object recognition
Website:
http://www.rowland.harvard.edu/rjf/cox/index.html
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"David Cox"
Mean distance: 14.29 (cluster 29)
 		SNBCP
Cross-listing: Computational Biology Tree

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Parents

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James J. DiCarlo grad student Brain and Cognitive Science, MIT

Children

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Cesar Echavarria grad student 2015- Harvard
Javier Alejandro Masis grad student 2014-2020 Harvard
Javier Alejandro Masis grad student 2014-2020 Harvard
Abhinav S. Grama post-doc 2016- Harvard
Davide Zoccolan post-doc 2008-2009 Rowland Institute, Harvard
Walter J. Scheirer post-doc 2012-2015 Harvard
Ben Vermaercke post-doc 2014-2015 MCB Harvard University

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Publications

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Masís J, Chapman T, Rhee JY, et al. (2023) Strategically managing learning during perceptual decision making. Elife. 12
Guitchounts G, Masís J, Wolff SBE, et al. (2020) Encoding of 3D Head Orienting Movements in the Primary Visual Cortex. Neuron
Lotter W, Kreiman G, Cox D. (2020) A neural network trained for prediction mimics diverse features of biological neurons and perception Nature Machine Intelligence. 2: 210-219
Farhi SL, Parot VJ, Grama A, et al. (2019) Wide-area all-optical neurophysiology in acute brain slices. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Masis J, Mankus D, Wolff SBE, et al. (2018) A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains. Journal of Visualized Experiments : Jove
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
Skocek O, Nöbauer T, Weilguny L, et al. (2018) Author Correction: High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods
Skocek O, Nöbauer T, Weilguny L, et al. (2018) High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods
Fong RC, Scheirer WJ, Cox DD. (2018) Using human brain activity to guide machine learning. Scientific Reports. 8: 5397
Masís J, Mankus D, Wolff SBE, et al. (2018) A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Scientific Reports. 8: 5184
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