Schedule
Day 1
March 21
Day 2
March 22
9:30 - 9:40
Joel Zylberberg
Introduction
9:30 - 9:45
Tiago Marques and Martin Schrimpf
Opening remarks on the Brain-Score Competition
9:40 - 10:30
Kohitij Kar
How good can/should a model of the primate visual system be? — An empirical perspective
Kim Stachenfeld and Gabriela Michel
Neuroscience of Continual Learning: Discovering and exploiting structure
9:45 - 10:25
Simone Azeglio and Simone Poetto
Improving Neural Predictivity in the Visual Cortex with Gated Recurrent Connections Competition
Roman Pogodin
Locally connected networks as ventral stream models
10:30 - 10:40
Coffee break
10:25 - 10:40
Coffee break
10:40 - 11:15
Alexander Riedel
Bag of Tricks for Training Brain-Like Deep Neural Networks
10:40 - 11:30
Kanaka Rajan
Untangling brain-wide interactions using data-constrained recurrent neural network models
Aaron Batista
“Well, can your network do this?" Neural population principles that hint at the biological mechanisms of general learning.
11:15 - 11:40
Ramanujan Raghavan
Representation of natural scene statistics in the monkey's early visual cortex
11:30 - 11:40
Coffee break
11:40 - 12:05
Hendrikje Nienborg
The role of non-retinal input to primate visual cortex
11:40 - 12:30
Uygar Sümbül
Neuromodulation, cell types, and learning
Panayiota Poirazi
Can dendrites help machine learning?
12:05 - 12:30
Eero Simoncelli
Broadening Brain-Score
Break 12:30 - 15:30
15:30 - 16:40
Gabriel Kreiman
Finding Waldo: towards a computational model of visual search
Andrew Saxe
Orthogonal representations for robust context-dependent task performance in brains and neural networks
Arash Afraz
Perceptography: using machine learning to peek into the subjective experience
15:30 - 16:00
William Berrios
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4
16:40 - 16:50
Coffee break
16:00 - 16:25
Jennifer Groh
How does the brain encode more than one stimulus at a time? Evidence from vision and hearing
16:50 - 17:40
Nikolaus Kriegeskorte
Statistical inference on representational geometries predicted by brain-computational models
Carlos Ponce
Are you seeing what I’m seeing? Representations in monkey brains and in neural networks
16:25 - 16:50
Daniel Yamins
My take on where to go next given this year's competition results
17:40 - 17:50
Coffee break
16:50 - 17:00
Coffee break
17:50 - 18:30
Panel discussion
17:00 - 17:15
Martin Schrimpf and Tiago Marques
The future of Brain-Score
17:15 - 18:30
Panel discussion
End