Simon R. Schultz

Affiliations: 
Imperial College, London, London, England, United Kingdom 
Area:
theoretical neuroscience, biophysics
Website:
http://www.bg.ic.ac.uk/staff/schultz/lab/index.html
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"Simon Schultz"
Mean distance: 12.2 (cluster 17)
 
SNBCP
Cross-listing: Chemistry Tree

Parents

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Edmund Rolls grad student 1995-1998 Oxford
J Anthony Movshon post-doc 1999-2003 NYU
Michael Häusser post-doc 2003-2004 UCL
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Publications

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Quicke P, Song C, McKimm EJ, et al. (2019) Corrigendum: Single-Neuron Level One-Photon Voltage Imaging With Sparsely Targeted Genetically Encoded Voltage Indicators. Frontiers in Cellular Neuroscience. 13: 202
Soor NS, Quicke P, Howe CL, et al. (2019) All-optical crosstalk-free manipulation and readout of Chronos-expressing neurons. Journal of Physics D: Applied Physics. 52: 104002
Quicke P, Song C, McKimm EJ, et al. (2019) Single-Neuron Level One-Photon Voltage Imaging With Sparsely Targeted Genetically Encoded Voltage Indicators. Frontiers in Cellular Neuroscience. 13: 39
Annecchino LA, Schultz SR. (2018) Progress in automating patch clamp cellular physiology. Brain and Neuroscience Advances. 2: 2398212818776561
Quicke P, Reynolds S, Neil M, et al. (2018) High speed functional imaging with source localized multifocal two-photon microscopy. Biomedical Optics Express. 9: 3678-3693
Muzzu T, Mitolo S, Gava GP, et al. (2018) Encoding of locomotion kinematics in the mouse cerebellum. Plos One. 13: e0203900
Reynolds S, Abrahamsson T, Sjöström PJ, et al. (2018) CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging. Neural Computation. 1-31
Schuck R, Go MA, Garasto S, et al. (2017) Multiphoton minimal inertia scanning for fast acquisition of neural activity signals. Journal of Neural Engineering
Reynolds S, Abrahamsson T, Schuck R, et al. (2017) ABLE: An Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data. Eneuro. 4
Annecchino LA, Morris AR, Copeland CS, et al. (2017) Robotic Automation of In Vivo Two-Photon Targeted Whole-Cell Patch-Clamp Electrophysiology. Neuron. 95: 1048-1055.e3
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