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BI 130 Eve Marder: Modulation of Networks

BI 130 Eve Marder: Modulation of Networks

FromBrain Inspired


BI 130 Eve Marder: Modulation of Networks

FromBrain Inspired

ratings:
Length:
61 minutes
Released:
Mar 13, 2022
Format:
Podcast episode

Description




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Eve discusses many of the lessons she has learned studying a small nervous system, the crustacean stomatogastric nervous system (STG). The STG has only about 30 neurons and its connections and neurophysiology are well-understood. Yet Eve's work has shown it functions under a remarkable diversity of conditions, and does so is a remarkable variety of ways. We discuss her work on the STG specifically, and what her work implies about trying to study much larger nervous systems, like our human brains.



The Marder Lab.Twitter: @MarderLab.Related to our conversation:Understanding Brains: Details, Intuition, and Big Data.Emerging principles governing the operation of neural networks (Eve mentions this regarding "building blocks" of neural networks).





0:00 - Intro
3:58 - Background
8:00 - Levels of ambiguity
9:47 - Stomatogastric nervous system
17:13 - Structure vs. function
26:08 - Role of theory
34:56 - Technology vs. understanding
38:25 - Higher cognitive function
44:35 - Adaptability, resilience, evolution
50:23 - Climate change
56:11 - Deep learning
57:12 - Dynamical systems
Released:
Mar 13, 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.