Russ and I discuss cognitive ontologies - the "parts" of the mind and their relations - as an ongoing dilemma of how to map onto each other what we know about brains and what we know about minds. We talk about whether we have the right ontology now, how he uses both top-down and data-driven approaches to analyze and refine current ontologies, and how all this has affected his own thinking about minds. We also discuss some of the current meta-science issues and challenges in neuroscience and AI, and Russ answers guest questions from Kendrick Kay and David Poeppel.
Some take-home points:
Time points
0:00 - Introduction
5:59 - Meta-science issues
19:00 - Kendrick Kay question
23:00 - State of the field
30:06 - fMRI for understanding minds
35:13 - Computational mind
42:10 - Cognitive ontology
45:17 - Cognitive Atlas
52:05 - David Poeppel question
57:00 - Does ontology matter?
59:18 - Data-driven ontology
1:12:29 - Dynamical systems approach
1:16:25 - György Buzsáki's inside-out approach
1:22:26 - Ontology for AI
1:27:39 - Deep learning hype
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