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BI 221 Ann Kennedy: Theory Beneath the Cortical Surface

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Manage episode 508139857 series 2422585
Content provided by Paul Middlebrooks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paul Middlebrooks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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Ann Kennedy is Associate Professor at Scripps Research Institute and runs the Laboratory for Theoretical Neuroscience and Behavior.

Among other things, Ann has been studying how processes important in life, like survival, threat response, motivation, and pain, are mediated through subcortical brain areas like the hypothalamus. She also pays attention to the time course those life processes require, which has led her to consider how the expression of things like proteins help shape neural processes throughout the brain, so we can behave appropriately in those different contexts.

You'll hear us talk about how this is still a pretty open field in theoretical neuroscience, unlike the historically heavy use of theory in popular brain areas throughout the cortex, and the historically narrow focus on spikes or action potentials as the only game in town when it comes to neural computation. We discuss that and I link in the show notes to a commentary piece Ann wrote, in which she argues for both top-down and bottom-up theoretical approaches.

I also link to her papers about the early evolution of nervous systems, how heterogeneity or diversity of neurons is an advantage for neural computations, and we discuss a kaggle competition she developed to benchmark automated behavioral labels of behaving organisms, so that despite different researchers using different recording systems and setups, analyzing those data will produce consistent labels to better compare across labs and aggregated bigger and better data sets.

0:00 - Intro 3:36 - Why study subcortical areas? 13:30 - Evolution 15:06 - Dynamical systems and time scales 21:32 - NeuroAI 28:37 - Before there were brains 33:11 - Endogenous spontaneous activity 40:09 - Natural vs artificial 43:09 - Different is more - heterogeneity 45:32 - Neuromodulators and neuropeptide functions 55:47 - Heterogeneity: manifolds, subspaces, and gain 1:02:43 - Control knobs 1:09:45 - Theoretical neuroscience has room to grow 1:19:59 - Hypothalamus 1:20:57 - Subcortical vs "higher" cognition 1:24:53 - 4E cognition 1:26:56 - Behavior benchmarking 1:37:26 - Current challenges 1:39:46 - Advice to young researchers

  continue reading

233 episodes

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iconShare
 
Manage episode 508139857 series 2422585
Content provided by Paul Middlebrooks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paul Middlebrooks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Support the show to get full episodes, full archive, and join the Discord community.

Ann Kennedy is Associate Professor at Scripps Research Institute and runs the Laboratory for Theoretical Neuroscience and Behavior.

Among other things, Ann has been studying how processes important in life, like survival, threat response, motivation, and pain, are mediated through subcortical brain areas like the hypothalamus. She also pays attention to the time course those life processes require, which has led her to consider how the expression of things like proteins help shape neural processes throughout the brain, so we can behave appropriately in those different contexts.

You'll hear us talk about how this is still a pretty open field in theoretical neuroscience, unlike the historically heavy use of theory in popular brain areas throughout the cortex, and the historically narrow focus on spikes or action potentials as the only game in town when it comes to neural computation. We discuss that and I link in the show notes to a commentary piece Ann wrote, in which she argues for both top-down and bottom-up theoretical approaches.

I also link to her papers about the early evolution of nervous systems, how heterogeneity or diversity of neurons is an advantage for neural computations, and we discuss a kaggle competition she developed to benchmark automated behavioral labels of behaving organisms, so that despite different researchers using different recording systems and setups, analyzing those data will produce consistent labels to better compare across labs and aggregated bigger and better data sets.

0:00 - Intro 3:36 - Why study subcortical areas? 13:30 - Evolution 15:06 - Dynamical systems and time scales 21:32 - NeuroAI 28:37 - Before there were brains 33:11 - Endogenous spontaneous activity 40:09 - Natural vs artificial 43:09 - Different is more - heterogeneity 45:32 - Neuromodulators and neuropeptide functions 55:47 - Heterogeneity: manifolds, subspaces, and gain 1:02:43 - Control knobs 1:09:45 - Theoretical neuroscience has room to grow 1:19:59 - Hypothalamus 1:20:57 - Subcortical vs "higher" cognition 1:24:53 - 4E cognition 1:26:56 - Behavior benchmarking 1:37:26 - Current challenges 1:39:46 - Advice to young researchers

  continue reading

233 episodes

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