How brains and AI systems process moving images

Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us.

In this episode, Hollis Cline describes how neuroscience informed development of an artificial intelligence movie recognition system.

In this episode, we cover: •[00:00] Introduction •[00:55] Neuroscientist Hollis Cline introduces the background of the study. •[01:49] Cline talks about the current limitations of artificial intelligence movie recognition. •[02:58] She explains why Xenopus tadpoles were used as subjects in this study. •[03:29] Cline talks about the experimental setup and procedure. •[05:53] She explains the results of tadpole neurological monitoring. •[06:32] Cline adds findings about neural plasticity and learning. •[07:53] She describes how the findings led to an artificial intelligence system and the system’s capabilities. •[09:53] Caveats and limitations of the study. •[10:22] Conclusion.

About Our Guests:

Hollis Cline Professor Scripps Research Institute

View related content here: https://www.pnas.org/doi/10.1073/pnas.2412260121

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Movies, neurons, and AI