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Kreiman Lab News

Neural Networks and the Ventral Stream

Tue Nov 3, 2020 and Th Nov 5th, 2020. 11am-12:30pm.

9.520/6.860: STATISTICAL LEARNING THEORY AND APPLICATIONS

Thomas Serre, Gabriel Kreiman and Tomaso Poggio

Serre et al 2007
HMAX, a biologically-inspired model of computations along the ventral visual stream
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Kreiman Lab News

Congratulations Aurélie Cordier!

Aurelie Cordier
Aurelie Cordier, M. Sc.

Congratulations to Aurélie Cordier who successfully defended her M.Sc. thesis!

Aurélie Cordier. Recognition of minimal images in the human brain. Harvard Medical School (2020).

Click here for a link to her thesis work.

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Kreiman Lab News

Congratulations Will Xiao!

Will Xiao
Will Xiao

Will Xiao was awarded the Stuart H.Q. & Victoria Quan Fellowship

See also recent work from Will Xiao:

Yuan L, Xiao W, Kreiman G, Tay FEH, Feng, JL, Livingstone, M (2020). Adversarial images for the primate brain. arXiv. 2011.05623 PDF

Xiao W. and Kreiman G. (2020). XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization. PLoS Computational Biology 16(6): e1007973. PDF 

Ponce C.R., Xiao W., Schade P.F., Hartmann T.S., Kreiman G., Livingstone M. (2019). Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences. Cell, 177:999-1009. PDF

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Kreiman Lab News

Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles

Ponce et al, Cell 2019

See article by Ponce et al, Cell 2019

See article by Xiao et al, PLoS Computational Biology 2020

See commentary by Afraz, Cell 2019

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Kreiman Lab News

Pattern completion during visual recognition.

Pattern completion
You can recognize the tables and chairs despite heavy occlusion

Pattern completion during visual recognition. Gabriel Kreiman. Brown University

See work by Tang et al PNAS 2018

See work by Tang et al Neuron 2014

See review paper about recognition of occluded objects by Hanlin Tang