BI 072 Mazviita Chirimuuta: Understanding, Prediction, and Reality

BI 072 Mazviita Chirimuuta: Understanding, Prediction, and Reality

BI 072 Mazviita Chirimuuta: Understanding, Prediction, and Reality

 
 
00:00 / 01:18:53
 
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Mazviita and I discuss the growing divide between prediction and understanding as neuroscience models and deep learning networks become bigger and more complex. She describes her non-factive account of understanding, which among other things suggests that the best predictive models may deliver less understanding. We also discuss the brain as a computer metaphor, and whether it’s really possible to ignore all the traditionally “non-computational” parts of the brain like metabolism and other life processes.

BI 071 J. Patrick Mayo: The Path To Faculty

BI 071 J. Patrick Mayo: The Path To Faculty

BI 071 J. Patrick Mayo: The Path To Faculty

 
 
00:00 / 01:10:57
 
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Patrick and I mostly discuss his path from a technician in the then nascent Jim DiCarlo lab, through his graduate school and two postdoc experiences, and finally landing a faculty position, plus the culture and issues in academia in general. We also cover plenty of science, like the role of eye movements in the study of vision, the neuroscience (and concept of) attention, what Patrick thinks of the deep learning hype, and more.

BI 070 Bradley Love: How We Learn Concepts

BI 070 Bradley Love: How We Learn Concepts

BI 070 Bradley Love: How We Learn Concepts

 
 
00:00 / 01:47:07
 
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Brad and I discuss his battle-tested, age-defying cognitive model for how we learn concepts by forming and rearranging clusters, how the model maps onto brain areas, and how he’s using deep learning models to explore how attention and sensory information interact with concept formation. We also discuss the cognitive modeling approach, Marr’s levels of analysis, the term “biological plausibility”, emergence and reduction, and plenty more.

BI 069 David Ferrucci: Machines To Understand Stories

BI 069 David Ferrucci: Machines To Understand Stories

BI 069 David Ferrucci: Machines To Understand Stories

 
 
00:00 / 01:26:35
 
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David and I discuss the latest efforts he and his Elemental Cognition team have made to create machines that can understand stories the way humans can and do. The long term vision is to create what David calls “thought partners”, which are virtual assistants that can learn and synthesize a massive amount of information for us when we need that information for whatever project we’re working on. We also discuss the nature of understanding, language, the role of the biological sciences for AI, and more.

BI 068 Rodrigo Quian Quiroga: NeuroScience Fiction

BI 068 Rodrigo Quian Quiroga: NeuroScience Fiction

BI 068 Rodrigo Quian Quiroga: NeuroScience Fiction

 
 
00:00 / 01:34:44
 
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Rodrigo and I discuss concept cells and his latest book, NeuroScience Fiction. The book is a whirlwind of many of the big questions in neuroscience, each one framed by of one of Rodrigo’s favorite science fiction films and buttressed by tons of history, literature, and philosophy. We discuss a few of the topics in the book, like AI, identity, free will, consciousness, and immortality, and we keep returning to concept cells and the role of abstraction in human cognition.