| Neural population dynamics underlying motor learning transfer S Vyas, N Even-Chen, SD Stavisky, SI Ryu, P Nuyujukian, KV Shenoy Neuron 97 (5), 1177-1186. e3, 2018 | 143 | 2018 |
| Power-saving design opportunities for wireless intracortical brain–computer interfaces N Even-Chen, DG Muratore, SD Stavisky, LR Hochberg, JM Henderson, ... Nature biomedical engineering 4 (10), 984-996, 2020 | 102 | 2020 |
| Augmenting intracortical brain-machine interface with neurally driven error detectors N Even-Chen, SD Stavisky, JC Kao, SI Ryu, KV Shenoy Journal of neural engineering 14 (6), 066007, 2017 | 33 | 2017 |
| Structure and variability of delay activity in premotor cortex N Even-Chen, B Sheffer, S Vyas, SI Ryu, KV Shenoy PLoS computational biology 15 (2), e1006808, 2019 | 32 | 2019 |
| Feasibility of automatic error Detect-and-Undo system in human intracortical Brain–Computer Interfaces N Even-Chen, SD Stavisky, C Pandarinath, P Nuyujukian, CH Blabe, ... IEEE Transactions on Biomedical Engineering 65 (8), 1771-1784, 2017 | 26 | 2017 |
| Auto-deleting brain machine interface: Error detection using spiking neural activity in the motor cortex N Even-Chen, SD Stavisky, JC Kao, SI Ryu, KV Shenoy 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 13 | 2015 |
| Task-outcome error signals and their use in brain-machine interfaces N Even-Chen, KV Shenoy, JC Kao, S Stavisky US Patent 10,779,746, 2020 | 11 | 2020 |
| Utilizing throughput rate to dynamically generate queue request notifications M Dorofiyenko, NE Chen, DI Grosbard, JA Karp, MS Sabherwal, L Sierra US Patent 12,028,266, 2024 | 6 | 2024 |
| Power-Saving Design Opportunities for Wireless Intracortical Brain–Computer Interfaces. Nature Biomedical Engineering (2020) N Even-Chen, DG Muratore, SD Stavisky, LR Hochberg, JM Henderson, ... | 6 | 2020 |
| Systems and methods for virtual keyboards for high dimensional controllers N Even-Chen, KV Shenoy US Patent 10,949,086, 2021 | 5 | 2021 |
| Providing dynamic alternate location transportation modes and user interfaces within multi-pickup-location area geofences SY Brovman, TT Chao, DK Doo, NE Chen, E Joung, IN Konov, AL Nguyen, ... US Patent App. 17/039,171, 2022 | 4 | 2022 |
| Utilizing a requestor device forecasting model with forward and backward looking queue filters to pre-dispatch provider devices M Dorofiyenko, NE Chen, JS Markevitch, MAM Share, AL Nguyen, ... US Patent App. 16/827,305, 2021 | 3 | 2021 |
| Brain-machine interface (BMI) with user interface (UI) aware controller NE Chen, PA Merolla, JE O'doherty US Patent 11,630,516, 2023 | 1 | 2023 |
| Utilizing throughput rate to dynamically generate queue request notifications M Dorofiyenko, NE Chen, DI Grosbard, JA Karp, MS Sabherwal, L Sierra US Patent App. 18/748,747, 2024 | | 2024 |
| Towards Clinically Viable Neural Prostheses Through Innovations in Neuroscience, Decoders, and Interfaces N Even-Chen Stanford University, 2018 | | 2018 |
| Intrinsic Modeling of Repetitive Time Series with Application for Analysis of Event-Related Potentials N Even-Chen http://www.graduate.technion.ac.il/Theses/Abstracts.asp?Id=29157, 2015 | | 2015 |
| Assessing circuit design parameters for lower-power clinically-viable intracortical brain-computer interfaces N Even-Chen, DG Muratore, B Murmann, KV Shenoy | | |
| Task Outcome Error Signals in Human Primary Motor Cortex and Their Use in Brain-Computer Interfaces N Even-Chen, SD Stavisky, C Pandarinath | | |
Krishna V ShenoyStanford and Howard Hughes Medical InstituteVahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu