BI 035 Tim Behrens: Abstracting & Generalizing Knowledge, & Human Replay

BI 035 Tim Behrens: Abstracting & Generalizing Knowledge, & Human Replay

BI 035 Tim Behrens: Abstracting & Generalizing Knowledge, & Human Replay

 
 
00:00 / 01:11:03
 
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Tim and I talk about the upcoming Cognitive Computational Neuroscience conference, where he’ll be delivering a keynote address, conferences in general, his Tolman Eichenbaum machine that mimics neurons in the hippocampus and entorhinal cortex to abstract and generalize the structure of knowledge, his work using MEG to measure replay in humans, and more.

BI 034 Tony Zador: How DNA and Evolution Can Inform AI

BI 034 Tony Zador: How DNA and Evolution Can Inform AI

BI 034 Tony Zador: How DNA and Evolution Can Inform AI

 
 
00:00 / 01:18:36
 
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Tony and I talk about his idea that AI should take inspiration from DNA. That is, DNA through evolution can be thought of as a compressed bottleneck of innate information for our brains to start with, unlike the tabula rasa deep learning systems in vogue these days. We also talk about his experiences starting the COSYNE conference, his work with auditory decision making in rodents, how he plans to revolutionize neuroscience using DNA barcodes to solve the connectome, and more.

BI 033 Federico Turkheimer: Weak Versus Strong Emergence

BI 033 Federico Turkheimer: Weak Versus Strong Emergence

BI 033 Federico Turkheimer: Weak Versus Strong Emergence

 
 
00:00 / 01:06:05
 
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Federico and I discuss the difference between weak and strong emergence and how they relate to theories about brain function and consciousness, like the free energy principle, integrated information theory, and oscillatory mechanisms.

BI 032 Rafal Bogacz: Back-Propagation in Brains

BI 032 Rafal Bogacz: Back-Propagation in Brains

BI 032 Rafal Bogacz: Back-Propagation in Brains

 
 
00:00 / 01:15:44
 
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Rafal and I discuss many of the ways back-propagation could be approximated in brains as detailed in his recent Trends in Cognitive Sciences review. We also cover how brains and machines learn, the free energy principle with its predictions and implications related to back-prop and understanding brains in general, and more.

BI 031 Francisco de Sousa Webber: Natural Language Understanding

BI 031 Francisco de Sousa Webber: Natural Language Understanding

BI 031 Francisco de Sousa Webber: Natural Language Understanding

 
 
00:00 / 01:44:47
 
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Francisco and I discuss language and brains, his company cortical.io that uses his Semantic Folding Theory about how brains process language to perform natural language processing on text for many purposes, and the world of making and running companies like his own.