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BI 127 Tomás Ryan: Memory, Instinct, and Forgetting

BI 127 Tomás Ryan: Memory, Instinct, and Forgetting

FromBrain Inspired


BI 127 Tomás Ryan: Memory, Instinct, and Forgetting

FromBrain Inspired

ratings:
Length:
103 minutes
Released:
Feb 10, 2022
Format:
Podcast episode

Description

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Tomás and I discuss his research and ideas on how memories are encoded (the engram), the role of forgetting, and the overlapping mechanisms of memory and instinct. Tomás uses otpogenetics and other techniques to label and control neurons involved in learning and memory, and has shown that forgotten memories can be restored by stimulating "engram cells" originally associated with the forgotten memory. This line of research has led Tomás to think forgetting might be a learning mechanism itself, a adaption our brains make based on the predictability and affordances of the environment. His work on engrams has also led Tomás to think our instincts (ingrams) may share the same mechanism of our memories (engrams), and that memories may transition to instincts across generations. We begin by addressing Randy Gallistel's engram ideas from the previous episode: BI 126 Randy Gallistel: Where Is the Engram?



Ryan Lab.Twitter: @TJRyan_77.Related papersEngram cell connectivity: an evolving substrate for information storage.Forgetting as a form of adaptive engram cell plasticity.Memory and Instinct as a Continuum of Information Storage in The Cognitive Neurosciences.The Bandwagon by Claude Shannon.





0:00 - Intro
4:05 - Response to Randy Gallistel
10:45 - Computation in the brain
14:52 - Instinct and memory
19:37 - Dynamics of memory
21:55 - Wiring vs. connection strength plasticity
24:16 - Changing one's mind
33:09 - Optogenetics and memory experiments
47:24 - Forgetting as learning
1:06:35 - Folk psychological terms
1:08:49 - Memory becoming instinct
1:21:49 - Instinct across the lifetime
1:25:52 - Boundaries of memories
1:28:52 - Subjective experience of memory
1:31:58 - Interdisciplinary research
1:37:32 - Communicating science
Released:
Feb 10, 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.