Targeted Neural Dynamically Modeling Cole Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew Perich, Lee Miller, Matthias Hennig. Advances in Neural Information Processing Systems 34 . NeurIPS 2021. [NeurIPS | NeurIPS | Code ]

Building population models for large-scale neural recordings: opportunities and pitfalls Cole Hurwitz*, Nina Kudryashova*, Arno Onken, Matthias H. Hennig. Current Opinion in Neurobiology 70, Pages 64-73. 2021. * - equal contribution. [Current Opinion in Neurobiology]

SpikeInterface, a unified framework for spike sorting. Alessio P. Buccino*, Cole L. Hurwitz*, Jeremy Magland, Samuel Garcia, Joshua H. Siegle, Roger Hurwitz, Matthias H. Hennig. eLife 2020. * - equal contribution. [eLife | Code ]

SpikeForest: reproducible web-facing ground-truth validation of automated neural spike sorters. Jeremy F Magland, James J Jun, Elizabeth Lovero, Alexander J Morley, Cole L. Hurwitz, Alessio P. Buccino, Samuel Garcia, Alex H Barnett. eLife 2020. [eLife | Website | Code ]

Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceCole L. Hurwitz, Kai Xu, Akash Srivastava, Alessio P. Buccino, Matthias H. Hennig. Advances in Neural Information Processing Systems 32 . NeurIPS 2019. [NeurIPS | NeurIPS | Code ]

Scaling Spike Detection and Sorting for Next Generation Electrophysiology .  Matthias H. Hennig, Cole L. Hurwitz, Martino Sorbaro. In Vitro Neuronal Networks - From Culturing Methods to Neuro-Technological Applications, Springer International Publishing. 2019. [Springer | arXiv ]


Spike sorting pipeline for the International Brain Laboratory .  International Brain Laboratory, Kush Banga, Julien Boussard, GaĆ«lle A Chapuis, Mayo Faulkner, Kenneth D Harris, Julia M. Huntenburg, \textbf{Cole Hurwitz}, Hyun Dong Lee, Liam Paninski, Cyrille Rossant, Noam Roth, Nicholas A. Steinmetz, Charlie Windolf, Olivier Winter. 2022. [figshare]

not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget . Seungwook Han*, Akash Srivastava*, Cole Hurwitz*, Prasanna Sattigeri, David D. Cox. arXiv 2020. * - equal contribution. [arXiv]

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling . Akash Srivastava*c, Yamini Bansal*, Yukun Ding*, Cole Hurwitz*c, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund. arXiv 2020. * - equal contribution. c - Corresponding Author. [arXiv]


Scalable software and models for large-scale extracellular recordings.  Cole Hurwitz. 2022. [link]