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Data
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PyRhO: A multiscale optogenetics simulation platform (Evans et al 2016)
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Tom Morse - MoldelDB admin
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"... we present an integrated suite of open-source, multi-scale
computational tools called PyRhO. The purpose of developing PyRhO is
three-fold: (i) to characterize new (and existing) opsins by
automatically fitting a minimal set of experimental data to three-,
four-, or six-state kinetic models, (ii) to simulate these models at
the channel, neuron and network levels, and (iii) provide functional
insights through model selection and virtual experiments in
silico. The module is written in Python with an additional
IPython/Jupyter notebook based GUI, allowing models to be fit,
simulations to be run and results to be shared through simply
interacting with a webpage. The seamless integration of model fitting
algorithms with simulation environments (including NEURON and Brian2)
for these virtual opsins will enable neuroscientists to gain a
comprehensive understanding of their behavior and rapidly identify the
most suitable variant for application in a particular biological
system. ..."
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Evans BD, Jarvis S, Schultz SR, Nikolic K (2016) Show
Other
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Evans, Benjamin D [benjamin.evans at imperial.ac.uk] Show
Other
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tom.morse@yale.edu
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