| Fully integrated silicon probes for high-density recording of neural activity JJ Jun, NA Steinmetz, JH Siegle, DJ Denman, M Bauza, B Barbarits, ... Nature 551 (7679), 232-236, 2017 | 1829 | 2017 |
| SLEAP: A deep learning system for multi-animal pose tracking TD Pereira, N Tabris, A Matsliah, DM Turner, J Li, S Ravindranath, ... Nature methods 19 (4), 486-495, 2022 | 307 | 2022 |
| Real-time spike sorting platform for high-density extracellular probes with ground-truth validation and drift correction JJ Jun, C Mitelut, C Lai, SL Gratiy, CA Anastassiou, TD Harris BioRxiv, 101030, 2017 | 157 | 2017 |
| Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons D Xiao, MP Vanni, CC Mitelut, AW Chan, JM LeDue, Y Xie, ACN Chen, ... Elife 6, e19976, 2017 | 123 | 2017 |
| Inferring cortical function in the mouse visual system through large-scale systems neuroscience M Hawrylycz, C Anastassiou, A Arkhipov, J Berg, M Buice, N Cain, ... Proceedings of the National Academy of Sciences 113 (27), 7337-7344, 2016 | 72 | 2016 |
| BioNet: A Python interface to NEURON for modeling large-scale networks SL Gratiy, YN Billeh, K Dai, C Mitelut, D Feng, NW Gouwens, N Cain, ... PLoS One 13 (8), e0201630, 2018 | 54 | 2018 |
| YASS: Yet Another Spike Sorter applied to large-scale multi-electrode array recordings in primate retina JH Lee, C Mitelut, H Shokri, I Kinsella, N Dethe, S Wu, K Li, EB Reyes, ... BioRxiv, 2020.03. 18.997924, 2020 | 43 | 2020 |
| Nonlinear decoding of natural images from large-scale primate retinal ganglion recordings YJ Kim, N Brackbill, E Batty, JH Lee, C Mitelut, W Tong, EJ Chichilnisky, ... Neural Computation 33 (7), 1719-1750, 2021 | 24 | 2021 |
| Neural clustering processes A Pakman, Y Wang, C Mitelut, JH Lee, L Paninski International Conference on Machine Learning, 7455-7465, 2020 | 22 | 2020 |
| Mesoscale brain explorer, a flexible python-based image analysis and visualization tool D Haupt, MP Vanni, F Bolanos, C Mitelut, JM LeDue, TH Murphy Neurophotonics 4 (3), 031210-031210, 2017 | 18 | 2017 |
| Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement C Mitelut, Y Zhang, Y Sekino, JD Boyd, F Bollanos, NV Swindale, G Silasi, ... Elife 11, e76506, 2022 | 9* | 2022 |
| A visual guide to sorting electrophysiological recordings using'SpikeSorter' NV Swindale, C Mitelut, TH Murphy, MA Spacek JoVE (Journal of Visualized Experiments), e55217, 2017 | 8 | 2017 |
| Discrete neural processes A Pakman, Y Wang, C Mitelut, J Lee, L Paninski arXiv preprint arXiv:1901.00409, 2018 | 5 | 2018 |
| Unsupervised discovery of family specific vocal usage in the Mongolian gerbil RE Peterson, A Choudhri, C Mitelut, A Tanelus, A Capo-Battaglia, ... bioRxiv, 2023.03. 11.532197, 2023 | 4 | 2023 |
| Second-order relativistic corrections for the S(L=0) states in one- and two-electron atomic systems AM Frolov, CC Mitelut, Z Zhong Canadian journal of physics 83 (1), 1-21, 2005 | 3 | 2005 |
| Intent-aligned AI systems deplete human agency: the need for agency foundations research in AI safety C Mitelut, B Smith, P Vamplew arXiv preprint arXiv:2305.19223, 2023 | 2 | 2023 |
| Uncovering the effect of different brain regions on behavioral classification using recurrent neural networks Y Zhang, C Mitelut, G Silasi, F Bolanos, N Swindale, T Murphy, S Saxena 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Spike sorting using the neural clustering process Y Wang, A Pakman, C Mitelut, JH Lee, L Paninski Real Neurons {\&} Hidden Units: Future directions at the intersection of …, 2019 | 2 | 2019 |
| Spontaneous activity in cortical neurons is stereotyped and non-Poisson NV Swindale, MA Spacek, M Krause, C Mitelut Cerebral Cortex 33 (11), 6508-6525, 2023 | 1 | 2023 |
| Voltage distributions in extracellular brain recordings NV Swindale, P Rowat, M Krause, MA Spacek, C Mitelut Journal of neurophysiology 125 (4), 1408-1424, 2021 | 1 | 2021 |
