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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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 |