Brain Inspired

BI 140 Jeff Schall: Decisions and Eye Movements


Listen Later

Check out my free video series about what's missing in AI and Neuroscience

Support the show to get full episodes, full archive, and join the Discord community.

Jeff Schall is the director of the Center for Visual Neurophysiology at York University, where he runs the Schall Lab. His research centers around studying the mechanisms of our decisions, choices, movement control, and attention within the saccadic eye movement brain systems and in mathematical psychology models- in other words, how we decide where and when to look. Jeff was my postdoctoral advisor at Vanderbilt University, and I wanted to revisit a few guiding principles he instills in all his students. Linking Propositions by Davida Teller are a series of logical statements to ensure we rigorously connect the brain activity we record to the psychological functions we want to explain. Strong Inference by John Platt is the scientific method on steroids - a way to make our scientific practice most productive and efficient. We discuss both of these topics in the context of Jeff's eye movement and decision-making science. We also discuss how neurophysiology has changed over the past 30 years, we compare the relatively small models he employs with the huge deep learning models, many of his current projects, and plenty more. If you want to learn more about Jeff's work and approach, I recommend reading in order two of his review papers we discuss as well. One was written 20 years ago (On Building a Bridge Between Brain and Behavior), and the other 2-ish years ago (Accumulators, Neurons, and Response Time).

  • Schall Lab.
  • Twitter: @LabSchall.
  • Related papers
    • Linking Propositions.
    • Strong Inference.
    • On Building a Bridge Between Brain and Behavior.
    • Accumulators, Neurons, and Response Time.

0:00 - Intro

6:51 - Neurophysiology old and new
14:50 - Linking propositions
24:18 - Psychology working with neurophysiology
35:40 - Neuron doctrine, population doctrine
40:28 - Strong Inference and deep learning
46:37 - Model mimicry
51:56 - Scientific fads
57:07 - Current projects
1:06:38 - On leaving academia
1:13:51 - How academia has changed for better and worse

...more
View all episodesView all episodes
Download on the App Store

Brain InspiredBy Paul Middlebrooks

  • 4.9
  • 4.9
  • 4.9
  • 4.9
  • 4.9

4.9

133 ratings


More shows like Brain Inspired

View all
History of Philosophy Without Any Gaps by Peter Adamson

History of Philosophy Without Any Gaps

1,579 Listeners

Closer To Truth by Closer To Truth

Closer To Truth

242 Listeners

Philosophize This! by Stephen West

Philosophize This!

15,037 Listeners

The Quanta Podcast by Quanta Magazine

The Quanta Podcast

482 Listeners

Philosophy For Our Times by IAI

Philosophy For Our Times

307 Listeners

Into the Impossible With Brian Keating by Big Bang Productions Inc.

Into the Impossible With Brian Keating

1,043 Listeners

The Michael Shermer Show by Michael Shermer

The Michael Shermer Show

918 Listeners

Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas by Sean Carroll | Wondery

Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

4,131 Listeners

The Origins Podcast with Lawrence Krauss by Lawrence M. Krauss

The Origins Podcast with Lawrence Krauss

486 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

88 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

379 Listeners

Theories of Everything with Curt Jaimungal by Theories of Everything

Theories of Everything with Curt Jaimungal

459 Listeners

Clearer Thinking with Spencer Greenberg by Spencer Greenberg

Clearer Thinking with Spencer Greenberg

128 Listeners

The Joy of Why by Steven Strogatz, Janna Levin and Quanta Magazine

The Joy of Why

498 Listeners

Robinson's Podcast by Robinson Erhardt

Robinson's Podcast

242 Listeners