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Cole Hurwitz
Cole Hurwitz
Postdoctoral Research Scientist, Zuckerman Institute, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
SpikeInterface, a unified framework for spike sorting
AP Buccino*, CL Hurwitz*, S Garcia, J Magland, JH Siegle, R Hurwitz, ...
Elife 9, e61834, 2020
2172020
SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters
J Magland, JJ Jun, E Lovero, AJ Morley, CL Hurwitz, AP Buccino, ...
Elife 9, e55167, 2020
862020
Building population models for large-scale neural recordings: opportunities and pitfalls
C Hurwitz*, N Kudryashova*, A Onken, MH Hennig
Current Opinion in Neurobiology 70, Pages 64-73, 2021
402021
Targeted neural dynamical modeling
C Hurwitz, A Srivastava, K Xu, J Jude, M Perich, L Miller, M Hennig
Advances in Neural Information Processing Systems 34, 29379-29392, 2021
342021
Scaling spike detection and sorting for next-generation electrophysiology
MH Hennig, C Hurwitz, M Sorbaro
In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological …, 2019
292019
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools
D Biderman, MR Whiteway, C Hurwitz, N Greenspan, RS Lee, ...
Nature Methods 21 (7), 1316-1328, 2024
232024
Reproducibility of in-vivo electrophysiological measurements in mice
International Brain Laboratory, K Banga, J Benson, N Bonacchi, ...
bioRxiv, 2022.05. 09.491042, 2022
202022
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
C Hurwitz, K Xu, A Srivastava, A Buccino, M Hennig
Advances in Neural Information Processing Systems 32, 4726–4738, 2019
202019
Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings
Z Ye, AM Shelton, JR Shaker, J Boussard, J Colonell, D Birman, S Manavi, ...
bioRxiv, 2023.08. 23.554527, 2024
102024
Spike sorting pipeline for the International Brain Laboratory
G Chapuis, M Faulkner, KD Harris, JM Huntenburg, C Hurwitz, HD Lee, ...
channels 10 (6), 2022
10*2022
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
S Han*, A Srivastava*, C Hurwitz*, P Sattigeri, DD Cox
arXiv preprint arXiv:2009.04433, 2020
9*2020
DARTsort: A modular drift tracking spike sorter for high-density multi-electrode probes
J Boussard*, C Windolf*, C Hurwitz*, HD Lee, H Yu, O Winter, L Paninski
bioRxiv, 2023.08. 11.553023, 2023
62023
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling
A Srivastava*, Y Bansal*, Y Ding*, C Hurwitz*, K Xu, B Egger, P Sattigeri, ...
arXiv preprint arXiv:2010.13187, 2020
52020
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
Y Zhang, T He, J Boussard, C Windolf, O Winter, E Trautmann, N Roth, ...
Advances in Neural Information Processing Systems 36, 2023
32023
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
Y Zhang, Y Wang, D Jimenez-Beneto, Z Wang, M Azabou, B Richards, ...
Advances in Neural Information Processing Systems 37, 2024
22024
Towards robust and generalizable representations of extracellular data using contrastive learning
A Vishnubhotla, C Loh, A Srivastava, L Paninski, C Hurwitz
Advances in Neural Information Processing Systems 36, 2023
22023
Exploiting correlations across trials and behavioral sessions to improve neural decoding
Y Zhang, H Lyu, C Hurwitz, S Wang, C Findling, F Hubert, A Pouget, ...
bioRxiv, 2024
12024
In vivo cell-type and brain region classification via multimodal contrastive learning
H Yu, H Lyu, EYX Xu, C Windolf, EK Lee, F Yang, AM Shelton, S Olsen, ...
bioRxiv, 2024.11. 05.622159, 2024
2024
Scalable software and models for large-scale extracellular recordings
CL Hurwitz
The University of Edinburgh, 2022
2022
Author response: SpikeInterface, a unified framework for spike sorting
AP Buccino, CL Hurwitz, S Garcia, J Magland, JH Siegle, R Hurwitz, ...
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Articles 1–20