Deep Learning Improves Optical Imaging-Based BCI for Limb Control, with Seungbin Park episode artwork

EPISODE · Sep 22, 2024 · 1H 2M

Deep Learning Improves Optical Imaging-Based BCI for Limb Control, with Seungbin Park

from Neurocareers: Doing the Impossible! · host Milena Korostenskaja, PhD

Ever wonder how we can decode fast limb movements using brain-computer interfaces with slow data acquisition, like in optical imaging? This challenge has long puzzled researchers, but Seungbin Park and her team, led by Dr. Maria Dadarlat at Purdue University, have come up with a groundbreaking solution! In this episode of the BCI Award Neurocareers podcast series, we tackle the problem of low sampling rates in decoding limb movements. While traditional methods struggle with capturing fast limb trajectories, Seungbin Park and her colleagues have used a deep learning approach that overcomes this barrier! By employing a recurrent encoder-decoder network, they were able to decode rapid limb movements of a running mouse using slow two-photon calcium imaging—a major breakthrough in minimally-invasive, optical imaging-based BCI for multi-limb control. Join us as Seungbin shares how their innovative approach earned them a spot as one of the 12 finalists for the BCI Award 2023. She'll also offer insights and advice on how to make a successful BCI Award submission! Tune in to hear Seungbin Park's incredible story of pushing the boundaries in neurotech! About the Podcast Guest: Seungbin Park is PhD Graduate Student at Weldon School of Biomedical Engineering, Purdue University. - DadarlatLab: https://engineering.purdue.edu/DadarlatLab - Seungbin Park: https://www.linkedin.com/in/seungbin-park/ - The project: https://www.biorxiv.org/content/10.1101/2023.11.30.569459v1 Here are resources Seungbin is suggesting for you to use: - Deep learning resources:       - Coursera deep learning course: https://www.coursera.org/specializations/deep-learning?utm_medium=sem&utm_source=gg&utm_campaign=B2C_NAMER_deep-learning_deeplearning-ai_FTCOF_specializations_country-US-country-CA&campaignid=904733485&adgroupid=148411448815&device=c&keyword=&matchtype=&network=g&devicemodel=&adposition=&creativeid=654837734383&hide_mobile_promo&gad_source=1&gclid=Cj0KCQjwv7O0BhDwARIsAC0sjWNy57B_oCh7PvqPO4tWyZUvBrFCtBnNsLFnoXw9w_vs0mtywcAHRz0aAuiNEALw_wcB       - Pytorch tutorials: https://pytorch.org/tutorials/beginner/pytorch_with_examples.html About the Podcast Host: The Neurocareers podcast is brought to you by The Institute of Neuroapproaches (https://www.neuroapproaches.org/) and its founder, Milena Korostenskaja, Ph.D. (Dr. K), a neuroscience educator, research consultant, and career coach for people in neuroscience and neurotechnologies. As a professional coach with a background in the field, Dr. K understands the unique challenges and opportunities job applicants face in this field and can provide personalized coaching and support to help you succeed. Here's what you'll get with one-on-one coaching sessions from Dr. K: Identification and pursuit of career goals Guidance on job search strategies, resume, and cover letter development Neurotech / neuroscience job interview preparation and practice Networking strategies to connect with professionals in the field of neuroscience and neurotechnologies Ongoing support and guidance to help you stay on track and achieve your goals You can always schedule a free neurocareer consultation/coaching session with Dr. K at https://neuroapproaches.as.me/free-neurocareer-consultation Subscribe to our Nerocareers Newsletter to stay on top of all our cool neurocareers news at updates https://www.neuroapproaches.org/neurocareers-news © 2024 Neurocareers: Doing the Impossible! All rights reserved.

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Deep Learning Improves Optical Imaging-Based BCI for Limb Control, with Seungbin Park

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This episode was published on September 22, 2024.

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Ever wonder how we can decode fast limb movements using brain-computer interfaces with slow data acquisition, like in optical imaging? This challenge has long puzzled researchers, but Seungbin Park and her team, led by Dr. Maria Dadarlat at Purdue...

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