Cole Hurwitz

University of California, Los Angeles — United States

Neuroscience · Life Sciences

13h-index929citations46works9.42yr avg
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Research Topics

Neural dynamics and brain function(33), Neuroscience and Neural Engineering(15), Neuroscience and Neuropharmacology Research(8), EEG and Brain-Computer Interfaces(8), Advanced Memory and Neural Computing(6)

Publications43 total

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
arXiv (Cornell University)·2025Open Access
Exploiting correlations across trials and behavioral sessions to improve neural decoding
Neuron·2025Open Access
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
arXiv (Cornell University)·2025Open Access
Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings
Neuron·2025· 6 citedOpen Access
A multimodal approach for visualization and identification of electrophysiological cell types <i>in vivo</i>
2025Open Access
Neural Encoding and Decoding at Scale.
PubMed·2025Open Access
Author response: Reproducibility of in vivo electrophysiological measurements in mice
2025Open Access
Reproducibility of in vivo electrophysiological measurements in mice
eLife·2025· 5 citedOpen Access
A transient neural code for feedback-driven motor corrections during reaching
2025Open Access
Reproducibility of in vivo electrophysiological measurements in mice
2025· 2 citedOpen Access
Author response: Reproducibility of in vivo electrophysiological measurements in mice
2025Open Access
In vivo cell-type and brain region classification via multimodal contrastive learning
2024· 7 citedOpen Access
Reproducibility of in vivo electrophysiological measurements in mice
2024· 3 citedOpen Access
Reproducibility of in vivo electrophysiological measurements in mice
eLife·2024· 14 citedOpen Access
Exploiting correlations across trials and behavioral sessions to improve neural decoding
2024· 4 citedOpen Access
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools
Nature Methods·2024· 48 citedOpen Access
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
2024· 4 citedOpen Access
Towards robust and generalizable representations of extracellular data using contrastive learning
2023· 1 citedOpen Access
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
2023· 3 citedOpen Access
Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings
2023· 29 citedOpen Access
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Frequent Co-authors

Matthias H. Hennig(14), Liam Paninski(12), Nicholas A. Steinmetz(12), Alessio Paolo Buccino(11), Anup Khanal(11), Guido T. Meijer(11), Jean‐Paul Noel(11), Matteo Carandini(11), Olivier Winter(11), Yizi Zhang(11), Matthew R Whiteway(10), Michael Schartner(10), Julia M. Huntenburg(10), Alejandro Pan-Vazquez(10), Karolina Socha(10), Anne E Urai(10), Daniel Birman(10), Dan Biderman(9), Kush Banga(9), Julius Benson(9)