| All-optical electrophysiology in mammalian neurons using engineered microbial rhodopsins DR Hochbaum, Y Zhao, SL Farhi, N Klapoetke, CA Werley, V Kapoor, ... Nature methods 11 (8), 825-833, 2014 | 793 | 2014 |
| Tools, methods, and applications for optophysiology in neuroscience N Smedemark-Margulies, JG Trapani Frontiers in molecular neuroscience 6, 18, 2013 | 59 | 2013 |
| A novel de novo mutation in ATP1A3 and childhood-onset schizophrenia N Smedemark-Margulies, CA Brownstein, S Vargas, SK Tembulkar, ... Molecular Case Studies 2 (5), a001008, 2016 | 57 | 2016 |
| iPSC-derived neurons as a higher-throughput readout for autism: promises and pitfalls D Prilutsky, NP Palmer, N Smedemark-Margulies, TM Schlaeger, ... Trends in molecular medicine 20 (2), 91-104, 2014 | 54 | 2014 |
| Gene expression analysis in Fmr1KO mice identifies an immunological signature in brain tissue and mGluR5-related signaling in primary neuronal cultures D Prilutsky, AT Kho, NP Palmer, AL Bhakar, N Smedemark-Margulies, ... Molecular Autism 6, 1-14, 2015 | 20 | 2015 |
| De novo ATP1A3 and compound heterozygous NLRP3 mutations in a child with autism spectrum disorder, episodic fatigue and somnolence, and muckle-wells syndrome A Torres, CA Brownstein, SK Tembulkar, K Graber, C Genetti, RJ Kleiman, ... Molecular genetics and metabolism reports 16, 23-29, 2018 | 13 | 2018 |
| Improving adversarial robustness by learning shared information X Yu, N Smedemark-Margulies, S Aeron, T Koike-Akino, P Moulin, ... Pattern Recognition 134, 109054, 2023 | 11 | 2023 |
| Generator surgery for compressed sensing N Smedemark-Margulies, JY Park, M Daniels, R Yu, JW van de Meent, ... arXiv preprint arXiv:2102.11163, 2021 | 5 | 2021 |
| AutoTransfer: Subject transfer learning with censored representations on biosignals data N Smedemark-Margulies, Y Wang, T Koike-Akino, D Erdogmus 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 3 | 2022 |
| Recursive estimation of user intent from noninvasive electroencephalography using discriminative models N Smedemark-Margulies, B Celik, T Imbiriba, A Kocanaogullari, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Probabilistic program inference in network-based epidemiological simulations N Smedemark-Margulies, R Walters, H Zimmermann, L Laird, ... PLOS Computational Biology 18 (11), e1010591, 2022 | 2 | 2022 |
| Target-related alpha attenuation in a brain-computer interface rapid serial visual presentation calibration D Klee, T Memmott, N Smedemark-Margulies, B Celik, D Erdogmus, ... Frontiers in Human Neuroscience 16, 882557, 2022 | 2 | 2022 |
| Generator Surgery for Compressed Sensing JY Park, N Smedemark-Margulies, M Daniels, R Yu, JW van de Meent, ... NeurIPS 2020 Workshop Deep Inverse, 2020 | 2 | 2020 |
| User Training with Error Augmentation for sEMG-based Gesture Classification Y Bicer, N Smedemark-Margulies, B Celik, E Sunger, R Orendorff, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024 | 1 | 2024 |
| User Training with Error Augmentation for Electromyogram-based Gesture Classification Y Bicer, N Smedemark-Margulies, B Celik, E Sunger, R Orendorff, ... arXiv preprint arXiv:2309.07289, 2023 | 1 | 2023 |
| Geometric analysis of uncertainty sampling for dense neural network layer A Koçanaoğulları, N Smedemark-Margulies, M Akcakaya, D Erdoğmuş IEEE signal processing letters 28, 867-871, 2021 | 1 | 2021 |
| Fair and Useful Cohort Selection N Smedemark-Margulies, P Langton, HL Nguyen arXiv e-prints, arXiv: 2009.02207, 2020 | 1 | 2020 |
| Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder N Smedemark-Margulies, Y Bicer, E Sunger, T Imbiriba, E Tunik, ... arXiv preprint arXiv:2311.14675, 2023 | | 2023 |
| Stabilizing Subject Transfer in EEG Classification with Divergence Estimation N Smedemark-Margulies, Y Wang, T Koike-Akino, J Liu, K Parsons, ... arXiv preprint arXiv:2310.08762, 2023 | | 2023 |
| Method and system for training a neural network for improving adversarial robustness Y Wang, X Yu, N Smedemark-Margulies, S Aeron, T Koike-Akino, ... US Patent App. 17/655,487, 2023 | | 2023 |
