Thanks to the sponsorship of MIT's Center for Brains, Minds and Machines and SlidesLive, the SVRHM workshop will be transmitted with Zoom encryption for LIVE presentations to increase interactions with the Speakers through live Q&A. All talks will be recorded and later uploaded to the workshop's and/or CBMM's YouTube Channel.


(or by Registering via NeurIPS to have access to the Zoom link) | If you would like a complimentary registration email us at

The Schedule can be accessed here:

and here (if you are Registered):

To attend SVRHM this year, NeurIPS main conference registration will be required! Please Register here:

Link to GatherTown (if Registered):

Schedule is currently being updated | The GatherTown will be running all day in parallel to the talks

If you would like a complimentary ticket please send us an email to: svrhm2021[at]

9.45-10.00 : Opening Remarks

10.00-10.10 : Invited Oral/Talk Paper Andy Keller: Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders

10.10-10.20 : Invited Oral/Talk Paper Tushar Arora: Learning to perceive objects by prediction

10.20-10.40 : Invited Talk: Yukiyasu Kamitani: "High-performance DNNs are not brain-like"

10.40-11.00: Invited Talk: Roland Fleming: "Learning to See Stuff"

11.00-11.20: Invited Talk: Gemma Roig: "Modeling the human brain from invariance and robustness to clutter towards multimodal, multi-task and continuous learning models"

11.20-11.40: Invited Talk: Wieland Brendel: "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?"

11.40-12.00: Invited Talk: Stephane Deny: "Learning transformations from data via recurrent latent operators"


12.00-13.00: Poster Session 1 in GatherTown


13.00-13.10: Invited Oral/Talk Paper Donsuk Lee: Controlled-rearing studies of newborn chicks and deep neural networks

13.10-13.20: Invited Oral/Talk Paper Bhavin Choski: Multimodal neural networks better explain multivoxel patterns in the hippocampus

13.20-13.40: Michelle Greene: "What we don't see can hurt us: dataset bias and its implications"

13.40-14.00: Zoya Bylinskii: "Why does where people look matter? New trends & applications of visual attention modeling"

14.00-14.20: Maryam Vaziri-Pashkam: "Beyond labeling THINGS-In-3D: is one visual pathway enough?"

14.20-14.40: Xavier Boix: "Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?"


14.40-16.00: Poster Session 2 in GatherTown


16.00-16.20: Tiago Marques: "From primary visual cortex to object recognition | The 2022 Brain-Score competition"

16.20-16.40: Kohitij Kar: "Role of recurrent computations in primate visual object recognition"

16.40-17.00: Yalda Mohsenzadeh: "Understanding, Predicting, and Manipulating Image Memorability with Representation Learning"

17.00-17.20: Ruben Coen-Cagli: "Measuring and modeling perceptual segmentation in natural vision"

17.20-17.40: Ruth Rosenholtz: "Understanding Peripheral Vision: Lessons Learned About Vision in General"

17.40-18.00: Awards Ceremony + Closing Remarks