CBMM Panel Discussion: Should models of cortex be falsifiable

Speaker: Multiple speakers

Date: Tuesday, December 01, 2020

Time: 3:00 PM to 4:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: This panel will be hosted via Zoom

Event Type: Seminar

Room Description:

Host: Prof. Tomaso A. Poggio

Contact: Kathleen Sullivan, kdsulliv@csail.mit.edu

Relevant URL: https://cbmm.mit.edu/news-events/events/cbmm-panel-discussion-should-models-cortex-be-falsifiable

Speaker URL: None

Speaker Photo:
Cbmm logo screen rgb colour small

Reminders to: seminars@csail.mit.edu

Reminder Subject: TALK: CBMM Panel Discussion: Should models of cortex be falsifiable

Presenters: Prof. Tomaso Poggio (MIT), Prof. Gabriel Kreiman (Harvard Medical School, BCH), and Prof. Thomas Serre (Brown U.)

Discussants: Prof. Leyla Isik (JHU), Martin Schrimpf (MIT), Michael Lee (MIT), Prof. Susan Epstein (Hunter CUNY), and Jenelle Feather (MIT)

Moderator: Prof. Josh McDermott (MIT)

Abstract: Deep Learning architectures designed by engineers and optimized with stochastic gradient descent on large image databases have become de facto models of the cortex. A prominent example is vision. What sorts of insights are derived from these models? Do the performance metrics reveal the inner workings of cortical circuits or are they a dangerous mirage? What are the critical tests that models of cortex should pass?

We plan to discuss the promises and pitfalls of deep learning models contrasting them with earlier models (VisNet, HMAX,…) which were developed from the ground up following neuroscience data to account for critical properties of scale+position invariance and selectivity of primate vision.

This panel discussion will be hosted via Zoom, see details below.

Zoom link: https://mit.zoom.us/j/99175709426

Research Areas:
Algorithms & Theory, AI & Machine Learning, Computational Biology, Graphics & Vision

Impact Areas:

See other events that are part of the Brains, Minds and Machines Seminar Series 2020 - 2021.

Created by Kathleen Sullivan Email at Sunday, November 22, 2020 at 1:39 PM.