Latest Episodes
BI 035 Tim Behrens: Abstracting & Generalizing Knowledge, & Human Replay
Show notes: This is the first in a series of episodes where I interview keynote speakers at the upcoming Cognitive Computational Neuroscience conference in...
0
BI 034 Tony Zador: How DNA and Evolution Can Inform AI
Show notes: Tony’s lab site, where there are links to his auditory decision making work and connectome work we discuss. Here are a few...
0
BI 033 Federico Turkheimer: Weak Versus Strong Emergence
Show Notes: Federico’s website.Federico’s papers we discuss: Conflicting emergences. Weak vs. strong emergence for the modelling of brain functionFrom homeostasis to behavior: balanced activity...
0
BI 032 Rafal Bogacz: Back-Propagation in Brains
Show notes: Visit Rafal’s Lab Website. Rafal’s papers we discuss: Theories of Error Back-Propagation in the Brain. An Approximation of the Error Backpropagation Algorithm...
0
BI 031 Francisco de Sousa Webber: Natural Language Understanding
Businessportrait Francisco Webber Cortical.ioThe white paper we discuss: Semantic Folding Theory And its Application in Semantic Fingerprinting. A nice talk Francisco gave: Semantic fingerprinting:...
BI 030 Jay McClelland: Mathematical Reasoning and PDP
Jay's homepage at Stanford.Implementing mathematical reasoning in machines:The video lecture.The paper.Parallel Distributed Processing by Rumelhart and McClelland.Complimentary Learning Systems Theory and Its Recent Update.Episode...