Joshua H. Siegle
Affiliations: | Neural Coding | Allen Institute for Brain Science, Seattle, WA, United States |
Area:
visual cortex, electrophysiology, optogeneticsGoogle:
"Josh Siegle"Mean distance: 12.87 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorMichael J. Tarr | research assistant | Brown | |
Christopher I. Moore | grad student | MIT | |
Matthew A. Wilson | grad student | MIT | |
Timothy J. Blanche | post-doc | Allen Institute |
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Publications
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Jia X, Siegle JH, Durand S, et al. (2022) Multi-regional module-based signal transmission in mouse visual cortex. Neuron |
Lecoq J, Oliver M, Siegle JH, et al. (2021) Removing independent noise in systems neuroscience data using DeepInterpolation. Nature Methods. 18: 1401-1408 |
Petersen PC, Siegle JH, Steinmetz NA, et al. (2021) CellExplorer: A framework for visualizing and characterizing single neurons. Neuron |
Siegle JH, Ledochowitsch P, Jia X, et al. (2021) Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology. Elife. 10 |
Siegle JH, Jia X, Durand S, et al. (2021) Survey of spiking in the mouse visual system reveals functional hierarchy. Nature |
Billeh YN, Cai B, Gratiy SL, et al. (2020) Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron |
Putzeys J, Raducanu BC, Carton A, et al. (2019) Neuropixels Data-Acquisition System: A Scalable Platform for Parallel Recording of 10,000+ Electrophysiological Signals. Ieee Transactions On Biomedical Circuits and Systems |
Jia X, Siegle JH, Bennett C, et al. (2019) High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification. Journal of Neurophysiology |
Jun JJ, Steinmetz NA, Siegle JH, et al. (2017) Fully integrated silicon probes for high-density recording of neural activity. Nature. 551: 232-236 |
Siegle JH, Cuevas López A, Patel Y, et al. (2017) Open Ephys: An open-source, plugin-based platform for multichannel electrophysiology. Journal of Neural Engineering |