Joshua H. Siegle

Neural Coding Allen Institute for Brain Science, Seattle, WA, United States 
visual cortex, electrophysiology, optogenetics
"Josh Siegle"
Mean distance: 12.87 (cluster 17)
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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
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