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BI 135 Elena Galea: The Stars of the Brain

BI 135 Elena Galea: The Stars of the Brain

FromBrain Inspired


BI 135 Elena Galea: The Stars of the Brain

FromBrain Inspired

ratings:
Length:
77 minutes
Released:
May 6, 2022
Format:
Podcast episode

Description

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Check out my free video series about what's missing in AI and Neuroscience








Brains are often conceived as consisting of neurons and "everything else." As Elena discusses, the "everything else," including glial cells and in particular astrocytes, have largely been ignored in neuroscience. That's partly because the fast action potentials of neurons have been assumed to underlie computations in the brain, and because technology only recently afforded closer scrutiny of astrocyte activity. Now that we can record calcium signaling in astrocytes, it's possible to relate how astrocyte signaling with each other and with neurons may complement the cognitive roles once thought the sole domain of neurons. Although the computational role of astrocytes remains unclear, it is clear that astrocytes interact with neurons and neural circuits in dynamic and interesting ways. We talk about the historical story of astrocytes, the emerging modern story, and Elena shares her views on the path forward to understand astrocyte function in cognition, disease, homeostasis, and - Elena's favorite current hypothesis - their integrative role in negative feedback control.



Elena's website.Twitter: @elenagalea1Related papersA roadmap to integrate astrocytes into Systems Neuroscience.Elena recommended this paper: Biological feedback control—Respect the loops.





0:00 - Intro
5:23 - The changing story of astrocytes
14:58 - Astrocyte research lags neuroscience
19:45 - Types of astrocytes
23:06 - Astrocytes vs neurons
26:08 - Computational roles of astrocytes
35:45 - Feedback control
43:37 - Energy efficiency
46:25 - Current technology
52:58 - Computational astroscience
1:10:57 - Do names for things matter
Released:
May 6, 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.