Embedded thumbnail for Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes
Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Melanie Sclar, University of Buenos Aires
Embedded thumbnail for Parallel developmental changes in children's drawing and recognition of visual concepts.
Parallel developmental changes in children's drawing and recognition of visual concepts.
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Bria Long, Stanford University
Embedded thumbnail for Visual Search: Differences between your Brain and Deep Neural Networks
Visual Search: Differences between your Brain and Deep Neural Networks
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Miguel Eckstein, University of California, Santa Barbara
Embedded thumbnail for Why it pays to study Psychology: Lessons from Computer Vision
Why it pays to study Psychology: Lessons from Computer Vision
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Alyosha Efros, University of California, Berkeley
Embedded thumbnail for SVRHM 2020 - Concluding Remarks
SVRHM 2020 - Concluding Remarks
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Diversity in AI Best Paper Award (NVIDIA Titan RTX) Ceremony and Oculus Quest Award for Breakthrough in Biologically inspired Generative Models.
Embedded thumbnail for THINGS: A large-scale global initiative to study the cognitive, computational, and neural mechanisms of object recognition in biological and artificial intelligence
THINGS: A large-scale global initiative to study the cognitive, computational, and neural mechanisms of object recognition in biological and artificial intelligence
Recorded:
Dec 12, 2020
Uploaded:
December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Speaker(s):
Martin Hebart
Martin Hebart, Max Planck Institute for Human Cognitive and Brain Sciences
Embedded thumbnail for SVRHM 2020 Opening Remarks
SVRHM 2020 Opening Remarks
Recorded:
Dec 12, 2020
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December 16, 2020
Part of
All Captioned Videos, SVRHM Workshop 2020
Embedded thumbnail for How did you learn the natural numbers?
How did you learn the natural numbers?
Recorded:
Aug 13, 2020
Uploaded:
December 10, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2020
CBMM Speaker(s):
Pietro Perona
Pietro Perona, California Institute of Technology Link to manuscript - https://arxiv.org/abs/2012.04132
Embedded thumbnail for CBMM Panel Discussion: Should models of cortex be falsifiable?
CBMM Panel Discussion: Should models of cortex be falsifiable?
Recorded:
Dec 1, 2020
Uploaded:
December 7, 2020
Part of
All Captioned Videos, CBMM Special Seminars
CBMM Speaker(s):
Tomaso Poggio, Gabriel Kreiman, Josh McDermott, Leyla Isik, Martin Schrimpf, Susan Epstein, Jenelle Feather
Speaker(s):
Thomas Serre, Michael Lee
Presenters: Prof. Tomaso Poggio (MIT), Prof. Gabriel Kreiman (Harvard Medical School, BCH), and Prof. Thomas Serre (Brown U.)
Discussants: Prof. Leyla Isik (JHU), Martin Schrimpf (MIT), Michael Lee (MIT), Prof. Susan Epstein (Hunter CUNY), and...
Embedded thumbnail for Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations [video]
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations [video]
Recorded:
Dec 3, 2020
Uploaded:
December 3, 2020
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
Tiago Marques, James DiCarlo
Speaker(s):
Joel Dapello
Hear from the lead authors Tiago Maques (MIT), Joel Dapello (Harvard), and PI James DiCarlo (MIT), about their development of VOneNets, a new class of hybrid CNN vision models. This paper was accepted in the Advances in Neural Information Processing...

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