High-dimensional Common Models of Neural Representation Spaces
James Haxby
(Dartmouth)
Date: 23/03/2012
Created: Friday, March 23rd, 2012
Created: Friday, March 23rd, 2012
Search Talks
Sections
Recent Talks
- Protected: Professor Tali Treibitz (Univ of Haifa): “Towards visual autonomy underwater” (03/16/2023)
- Protected: Dr. Yichang Shih (Google): “Mobile Computational Photography with Ultrawide and Telephoto Lens” (03/08/2023)
- Protected: Prof. Andrea Tagliasacchi (Simon Fraser University and Google): “Towards mass-adoption of Neural Radiance Fields” (02/23/2023)
- Protected: Prof. Tali Dekel (Weizmann Institute and Google): “Strong Interpretable Priors are All We Need” (02/16/2023)
- Protected: Dr. Ben Poole (Google Brain): “2D priors for 3D generation” (02/09/2023)
- Protected: Prof. Zeev Zalevsky (Bar-Ilan University): “Remote Photonic Medicine” (02/06/2023)
- Dr. Dan McGrath: “Insider’s View on Pixel Design” (01/26/2023)
- Protected: Professor Lei Li (Rice University): “New Generation Photoacoustic Imaging: From bench-top whole-body imagers to wearable sensors” (01/22/2023)
- Protected: Dr. Jeong Joon (JJ) Park (Stanford): “Learning to Re-create Reality in 3D” (01/12/2023)
- 2022 SCIEN Affiliates Meeting Poster Previews (12/29/2022)
Topics
3D augmented reality brain brain imaging camera CLB CNI CNS Cognitive Neuroscience computational imaging computer vision computing deep-learning digital imaging fMRI image sensor ipython law learning light field imaging machine learning MBC medical imaging medical technology memory microscopy MRI MR Methods neural circuitry neural coding neural computation neural network Neuroscience photography podcast programming psychology python retina scien social psychology statistics tutorial virtual reality visionMore talks
Share…
© Stanford Talks
Stanford University | Terms of Use | Copyright Complaints