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Data
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Neural Interactome: interactive simulation of a neuronal system (Kim et al 2019)
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Tom Morse - MoldelDB admin
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""Connectivity and biophysical processes determine the functionality of
neuronal networks. We, therefore, developed a real-time framework,
called Neural Interactome, to simultaneously visualize and interact
with the structure and dynamics of such networks. Neural Interactome
is a cross-platform framework, which combines graph visualization with
the simulation of neural dynamics, or experimentally recorded multi
neural time series, to allow application of stimuli to neurons to
examine network responses. In addition, Neural Interactome supports
structural changes, such as disconnection of neurons from the network
(ablation feature). Neural dynamics can be explored on a single neuron
level (using a zoom feature), back in time (using a review feature),
and recorded (using presets feature). The development of the Neural
Interactome was guided by generic concepts to be applicable to
neuronal networks with different neural connectivity and dynamics. We
implement the framework using a model of the nervous system of
Caenorhabditis elegans (C. elegans) nematode, a model organism with
resolved connectome and neural dynamics. We show that Neural
Interactome assists in studying neural response patterns associated
with locomotion and other stimuli. In particular, we demonstrate how
stimulation and ablation help in identifying neurons that shape
particular dynamics. We examine scenarios that were experimentally
studied, such as touch response circuit, and explore new scenarios
that did not undergo elaborate experimental studies."
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Kim J, Leahy W, Shlizerman E (2019) Show
Other
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tom.morse@yale.edu
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