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BI 134 Mandyam Srinivasan: Bee Flight and Cognition

BI 134 Mandyam Srinivasan: Bee Flight and Cognition

FromBrain Inspired


BI 134 Mandyam Srinivasan: Bee Flight and Cognition

FromBrain Inspired

ratings:
Length:
86 minutes
Released:
Apr 27, 2022
Format:
Podcast episode

Description

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Srini is Emeritus Professor at Queensland Brain Institute in Australia. In this episode, he shares his wide range of behavioral experiments elucidating the principles of flight and navigation in insects. We discuss how bees use optic flow signals to determine their speed, distance, proximity to objects, and to gracefully land. These abilities are largely governed via control systems, balancing incoming perceptual signals with internal reference signals. We also talk about a few of the aerial robotics projects his research has inspired, many of the other cognitive skills bees can learn, the possibility of their feeling pain , and the nature of their possible subjective conscious experience.



Srini's Website.Related papersVision, perception, navigation and 'cognition' in honeybees and applications to aerial robotics.





0:00 - Intro
3:34 - Background
8:20 - Bee experiments
14:30 - Bee flight and navigation
28:05 - Landing
33:06 - Umwelt and perception
37:26 - Bee-inspired aerial robotics
49:10 - Motion camouflage
51:52 - Cognition in bees
1:03:10 - Small vs. big brains
1:06:42 - Pain in bees
1:12:50 - Subjective experience
1:15:25 - Deep learning
1:23:00 - Path forward
Released:
Apr 27, 2022
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.