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Doris, Tony, and Blake are the organizers for this year's NAISys conference, From Neuroscience to Artificially Intelligent Systems (NAISys), at Cold Spring Harbor. We discuss the conference itself, some history of the neuroscience and AI interface, their current research interests, and a handful of topics around evolution, innateness, development, learning, and the current and future prospects for using neuroscience to inspire new ideas in artificial intelligence.

• From Neuroscience to Artificially Intelligent Systems (NAISys).
• Doris:
  • @doristsao.
  • Tsao Lab.
  • Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.
• Tony:
  • @TonyZador.
  • Zador Lab.
  • A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains.
• Blake:
  • @tyrell_turing.
  • The Learning in Neural Circuits Lab.
  • The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning.

0:00 - Intro 4:16 - Tony Zador 5:38 - Doris Tsao 10:44 - Blake Richards 15:46 - Deductive, inductive, abductive inference 16:32 - NAISys 33:09 - Evolution, development, learning 38:23 - Learning: plasticity vs. dynamical structures 54:13 - Different kinds of understanding 1:03:05 - Do we understand evolution well enough? 1:04:03 - Neuro-AI fad? 1:06:26 - Are your problems bigger or smaller now?