FR1.R3.1

Decoding Turn-Taking State Transitions in Conversational Speech from Motor Cortex Ensemble Activity

Daril Brown, Maitreyee Wairagkar, Carrina Iacobacci, Elizaveta Okorokova, Tyler Singer-Clark, Nick Card, UC Davis, United States; Leigh Hochberg, Mass. Gen. Hospital/ Brown University/Harvard Med. School/ Providence VAMC, United States; David Brandman, Sergey Stavisky, UC Davis, United States
Session:
FR1.R3: Bridging Neuroscience and AI for Personalized Therapies Lecture
Track:
Bridging Neuroscience and AI for Personalized Therapies
Location:
Pacific A Ballroom
Presentation Time:
Fri, 14 Nov, 09:00 - 09:15 PT (UTC -8)
Session Chair:
Jose Millan, University of Texas at Austin
Presentation
Discussion
Resources
No resources available.
Session FR1.R3
FR1.R3.1: Decoding Turn-Taking State Transitions in Conversational Speech from Motor Cortex Ensemble Activity
Daril Brown, Maitreyee Wairagkar, Carrina Iacobacci, Elizaveta Okorokova, Tyler Singer-Clark, Nick Card, UC Davis, United States; Leigh Hochberg, Mass. Gen. Hospital/ Brown University/Harvard Med. School/ Providence VAMC, United States; David Brandman, Sergey Stavisky, UC Davis, United States
FR1.R3.2: DeriModNet: A Derivative-Aware Modulation Network for fNIRS-Based Pain Assessment
Muhammad Umar Khan, Sumair Aziz, Girija Chetty, University of Canberra, Australia; Roland Goecke, University of New South Wales, Australia; Raul Fernandez Rojas, University of Canberra, Australia
FR1.R3.3: Bayesian Classification With and Without Temporal History for Estimating Parkinsonian Symptom State for Adaptive Deep Brain Stimulation
Brianna Leung, University of Pennsylvania, United States; Stephanie Cernera, Carina Oehrn, Maria Shcherbakova, Jiaang Yao, Amelia Hahn, Simon Little, Philip Starr, University of California, San Francisco, United States; Lauren Hammer, University of Pennsylvania, United States
FR1.R3.4: Efficient Many-to-Many MRI Modality Translation via a Latent-Conditioned Vector-Quantized Network
Hassan Baker, Austin J. Brockmeier, University of Delaware, United States
FR1.R3.5: Segmentation of clinical imagery for improved epidural stimulation to address spinal cord injury
Jordan Matelsky, Johns Hopkins University Applied Physics Laboratory, United States; Pawan Sharma, Kessler Foundation, United States; Erik Johnson, Johns Hopkins University Applied Physics Laboratory, United States; Siqi Wang, Maxwell Boakye, University of Louisville, United States; Claudia Angeli, Gail Forrest, Susan Harkema, Kessler Foundation, United States; Francesco Tenore, Johns Hopkins University Applied Physics Laboratory, United States
FR1.R3.6: Performing Bimanual Tasks with a BCI: Combining a Brain-Controlled Hand Exoskeleton with the Functional Limb
Satyam Kumar, Kanishka Mitra, Ruofan Liu, Hussein Alawieh, Akhil Surapaneni, Ashish Deshpande, Jose Millan, University of Texas at Austin, United States
FR1.R3.7: On the Stability of Kilosort4 Spike Sorting
Francesco Negri, Dania Vecchia, University of Genova, Italy; Marta Carè, IRCCS Ospedale Policlinico San Martino, Italy; Michela Chiappalone, Federico Barban, University of Genova, Italy
FR1.R3.8: Finger Force Prediction from Spinal Signals: Machine Learning Pipeline for the Neural Drive
Renato Mio, Jan Bodenschlägel, A. Aldo Faisal, University of Bayreuth, Germany
Contacts