In the 4th installment of our 100th episode celebration, previous guests responded to the question:
What ideas, assumptions, or terms do you think is holding back neuroscience/AI, and why?
As usual, the responses are varied and wonderful!
Timestamps:
0:00 – Intro
6:41 – Pieter Roelfsema
7:52 – Grace Lindsay
10:23 – Marcel van Gerven
11:38 – Andrew Saxe
14:05 – Jane Wang
16:50 – Thomas Naselaris
18:14 – Steve Potter
19:18 – Kendrick Kay
22:17 – Blake Richards
27:52 – Jay McClelland
30:13 – Jim DiCarlo
31:17 – Talia Konkle
33:27 – Uri Hasson
35:37 – Wolfgang Maass
38:48 – Paul Cisek
40:41 – Patrick Mayo
41:51 – Konrad Kording
43:22 – David Poeppel
44:22 – Brad Love
46:47 – Rodrigo Quian Quiroga
47:36 – Steve Grossberg
48:47 – Mark Humphries
52:35 – John Krakauer
55:13 – György Buzsáki
59:50 – Stefan Leijnan
1:02:18 – Nathaniel Daw
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Show notes: DeepMind. The papers we discuss: Neuroscience-Inspired Artificial Intelligence. A nice summary of the meta-reinforcement learning work. Learning to reinforcement learn. Prefrontal cortex...
Mentioned in the show: David’s Twitter account Papers we discuss: Sussillo, D.S. & Abbott, L. F. (2009). Generating Coherent Patterns of Activity from Chaotic...
