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