(Sent at the request of Chi Hwan Lee) From: Nak-seung Patrick Hyun <nhyun@purdue.edu<mailto:nhyun@purdue.edu>> Sent: Tuesday, October 29, 2024 4:31 PM To: Ward, Matthew Peter <mpward@purdue.edu<mailto:mpward@purdue.edu>>; Lee, Hyowon Hugh <hwlee@purdue.edu<mailto:hwlee@purdue.edu>>; Lee, Chi Hwan <lee2270@purdue.edu<mailto:lee2270@purdue.edu>>; Sunghee Park <park1713@purdue.edu<mailto:park1713@purdue.edu>> Subject: [ICON] Interesting seminar related to BME faculty and students this Friday. Hello everyone, I am an assistant professor at the ECE department, working on the control of bio-inspired robots and also the co-organizer of the ICON seminar series. I have invited Prof. Noah Cowan from Johns Hopkins University (Mechanical Engineering) this week to present a talk at the ICON weekly seminar series. Noah's research is diverse, from the science domain to engineering applications. In particular, he will present his work on the control path integration in the hippocampus area of the brain, which is thrilling to see the connection to neuroscience. I have attached the flyer. I believe this talk will be of interest to the BME faculty and students as well. Could you forward the seminar announcement to the BME mailing list? Best, Patrick ================================== Hello everyone, This is a reminder email for this week's seminar presented by Prof. Noah Cowan from Johns Hopkins University. It is one of the interdisciplinary talks on control theory, robotics, biology, and neuroscience. If you are interested in the "actual" neural pathway in the brain and how control theory can be applied, this will be a great talk. The flyer is attached to this email. For faculty who are interested in meeting with Prof. Noah Cowan, here is the link to the sign-up for the meeting: https://docs.google.com/spreadsheets/d/1NsC9hUhuGmQRBj_pSx0p_h0iTzc8Z4Bla5hgmEVEpPY/edit?usp=sharing<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fspreadsheets%2Fd%2F1NsC9hUhuGmQRBj_pSx0p_h0iTzc8Z4Bla5hgmEVEpPY%2Fedit%3Fusp%3Dsharing&data=05%7C02%7Cbmeroundtable-list%40ecn.purdue.edu%7C63e8ad94cd014be6bdf808dcf8de30c2%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638658880382088433%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=fsZiROKELqpj6aU3pONKLZNZYYPBFLZx6%2BXQYakO2r4%3D&reserved=0> Title: Control and Recalibration of Path Integration in the Hippocampus Speaker: Prof. Noah Cowan (Johns Hopkins University, ME) Date: 11/01 (Friday) 3:00 pm- 4:00 pm Location: MSEE 112 Abstract: The hippocampus can be thought of as the "Simultaneous Localization and Mapping" (SLAM) center of the mammalian brain. For example, when an animal moves in a familiar environment, certain neurons in the hippocampus, called place cells, fire when the animal occupies a certain region in that environment, encoding the animals 2D position. Another subpopulation of neurons, called head direction cells, represent the animal's compass heading To continuously update the animal's position and orientation on this internal 'cognitive map', the hippocampal system integrates self-motion signals over time. External landmarks then provide feedback to correct the errors in the position estimate that would otherwise inevitably accumulate. Using a novel virtual reality apparatus, we discovered that if path integration is biased, such that the animal consistently under- or overestimates its movement through space, the landmarks (Jayakumar et al, Nature, 2019) or optic flow cues (Madhav et al, Nature Neuroscience 2024) in the environment can serve as a teaching signal for recalibration of the path integrator. Using a biophysically plausible attractor neural network model of path integration, we show that for landmark-based recalibration the path integration error, or its integral, must be encoded at the level of individual neurons in order to enable path integration recalibration (Secer et al, 2024, bioRxiv). Using this prediction, we turned back to the physiological data and discovered a rate code for error at the level of individual neurons. -- Nak-seung Patrick Hyun Assistant Professor Elmore Family School of Electrical and Computer Engineering Purdue University nhyun@purdue.edu<mailto:nhyun@purdue.edu> (765)496-0725 Website: nphyun.com<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fnphyun.com%2F&data=05%7C02%7Cbmeroundtable-list%40ecn.purdue.edu%7C63e8ad94cd014be6bdf808dcf8de30c2%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638658880382244738%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=IFkBHcsN%2BCSB9OQyFnVZtkIywZpi9cSo9dFtHoBWpdc%3D&reserved=0> -- Bmeroundtable-list mailing list Bmeroundtable-list@ecn.purdue.edu https://engineering.purdue.edu/ECN/mailman/listinfo/bmeroundtable-list