Joshua H. Siegle

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

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Newman JP, Zhang J, Cuevas-López A, et al. (2024) ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior. Nature Methods
Bennett C, Ouellette B, Ramirez TK, et al. (2024) SHIELD: Skull-shaped hemispheric implants enabling large-scale electrophysiology datasets in the mouse brain. Neuron
Newman JP, Zhang J, Cuevas-López A, et al. (2023) A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior. Biorxiv : the Preprint Server For Biology
Ye Z, Shelton AM, Shaker JR, et al. (2023) Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings. Biorxiv : the Preprint Server For Biology
Wei Y, Nandi A, Jia X, et al. (2023) Associations between , and cell classes in mouse primary visual cortex. Biorxiv : the Preprint Server For Biology
Wei Y, Nandi A, Jia X, et al. (2023) Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex. Nature Communications. 14: 2344
Gandhi SR, Mayner WGP, Marshall W, et al. (2023) A survey of neurophysiological differentiation across mouse visual brain areas and timescales. Frontiers in Computational Neuroscience. 17: 1040629
Durand S, Heller GR, Ramirez TK, et al. (2022) Acute head-fixed recordings in awake mice with multiple Neuropixels probes. Nature Protocols
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
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