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Current Opinion in Neurobiology
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September 20, 2017
Texture and art with deep neural networks
Leon A Gatys, Alexander S Ecker, Matthias Bethge
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 15, 2015
Synaptic unreliability facilitates information transmission in balanced cortical populations
Leon A Gatys, Alexander S Ecker, Tatjana Tchumatchenko, et al.
Elife
|
May 1, 2019
Image content is more important than Bouma's Law for scene metamers
Thomas Sa Wallis, Christina M Funke, Alexander S Ecker, et al.
Journal of Vision
|
October 7, 2017
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
Thomas S A Wallis, Christina M Funke, Alexander S Ecker, et al.
Plos Computational Biology
|
April 24, 2019
Deep convolutional models improve predictions of macaque V1 responses to natural images
Santiago A Cadena, George H Denfield, Edgar Y Walker, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Current Opinion in Neurobiology
|
September 20, 2017
Texture and art with deep neural networks
Leon A Gatys, Alexander S Ecker, Matthias Bethge
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 15, 2015
Synaptic unreliability facilitates information transmission in balanced cortical populations
Leon A Gatys, Alexander S Ecker, Tatjana Tchumatchenko, et al.
Elife
|
May 1, 2019
Image content is more important than Bouma's Law for scene metamers
Thomas Sa Wallis, Christina M Funke, Alexander S Ecker, et al.
Journal of Vision
|
October 7, 2017
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
Thomas S A Wallis, Christina M Funke, Alexander S Ecker, et al.
Plos Computational Biology
|
April 24, 2019
Deep convolutional models improve predictions of macaque V1 responses to natural images
Santiago A Cadena, George H Denfield, Edgar Y Walker, et al.
Page
of 1