Overview

Event Q+A

Please use this form to ask questions during the event: Q+A Form. We will be synthesizing and summarizing these questions as they appear (with a little help from GPT).

Question

What do we want from our model-to-brain mapping metrics and how do we get it?

Abstract

Over the last decade, cognitive neuroscience has undergone something of a paradigm shift. Where once we suffered a dearth of task-performant computational models that could reasonably predict (beyond early perceptual areas) how the biological brain responds to sensory stimuli, we’re now inundated with them. While thrilling, this profusion of riches has resurfaced longstanding, fundamental – even existential – questions about what we stand to learn from model-to-brain mappings, and how much we may or may not have learned already. In this Community Event, incorporating elements from both Generative Adversarial Collaborations (GACs) and Keynotes and Tutorials (K&Ts), we bring together a diverse team of researchers unified by 3 common goals: first, to extensively articulate our common and contrasting beliefs about we stand to gain from the use of neural models in cognitive neuroscience; second, to outline what metrics of progress we believe are theoretically best-suited for measuring those gains; and finally, to use a massive-scale, data-driven empirical analysis to bridge the gap what we believe and what we observe.

Quick Links

• CCN2024 Schedule of Events