Simon R. Schultz

Imperial College, London, London, England, United Kingdom 
theoretical neuroscience, biophysics
"Simon Schultz"
Mean distance: 12.2 (cluster 17)
Cross-listing: Chemistry Tree


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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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Hélène Seiler research assistant 2008-2009 Imperial College London (Physics Tree)
Luca A. Annecchino grad student
Marie Tolkiehn grad student Imperial College
Elena Phoka grad student 2007- Imperial College London
Isabel Delgado-Ruz grad student 2009- Imperial College London
Julija Krupic grad student 2006-2007
Fernando Montani grad student 2004-2008 Imperial College
Aman B. Saleem grad student 2005-2010 Imperial College
Philip Bream post-doc 2007- Imperial College London
John Apergis-Schoute post-doc 2008- Imperial College
Caroline S. Copeland post-doc 2013-2016 Imperial College
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Mitchell-Heggs R, Prado S, Gava GP, et al. (2022) Neural manifold analysis of brain circuit dynamics in health and disease. Journal of Computational Neuroscience. 51: 1-21
Barkus C, Bergmann C, Branco T, et al. (2022) Refinements to rodent head fixation and fluid/food control for neuroscience. Journal of Neuroscience Methods. 381: 109705
Márton CD, Schultz SR, Averbeck BB. (2020) Learning to select actions shapes recurrent dynamics in the corticostriatal system. Neural Networks : the Official Journal of the International Neural Network Society. 132: 375-393
Quicke P, Howe CL, Song P, et al. (2020) Subcellular resolution three-dimensional light-field imaging with genetically encoded voltage indicators. Neurophotonics. 7: 035006
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
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
Jarvis S, Nikolic K, Schultz SR. (2018) Neuronal gain modulability is determined by dendritic morphology: A computational optogenetic study. Plos Computational Biology. 14: e1006027
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