Technical Program: Paper Detail || CCN 2022 || 2022 Conference on Cognitive Computational Neuroscience || San Francisco || August 25

GP-1.77

How does the brain combine generative models and discriminative computations in high-level vision? Update on the state of the GAC from 2021.

Benjamin Peters, Zenna Tavares, Nikolaus Kriegeskorte, Columbia University, United States; James DiCarlo, Joshua Tenenbaum, MIT, United States; Todd Gureckis, New York University, United States; Ralf Haefner, University of Rochester, United States; Leyla Isik, Johns Hopkins University, United States; Talia Konkle, Harvard University, United States; Thomas Naselaris, University of Minnesota, United States; Kimberly Stachenfeld, DeepMind, United Kingdom; Doris Tsao, Caltech, United States; Ilker Yildirim, Yale University, United States

Session:

GAC Posters: Progress updates Poster

Location:

Pacific Ballroom H-O

Presentation Time:

Thu, 25 Aug, 19:30 - 21:30 Pacific Time (UTC -8)

Abstract:

abstract

Session GP-1

GP-1.75: Progress on the 2021 Generative Adversarial Collaboration "What constitutes understanding of ventral pathway function?"

Carlos Ponce, Gabriel Kreiman, Harvard Medical School, United States

GP-1.76: Beyond linear regression: mapping models in cognitive neuroscience should align with research goals

Anna Ivanova, Martin Schrimpf, Noga Zaslavsky, Evelina Fedorenko, MIT, United States; Stefano Anzellotti, Boston College, United States; Leyla Isik, Johns Hopkins University, United States

GP-1.77: How does the brain combine generative models and discriminative computations in high-level vision? Update on the state of the GAC from 2021.