Theoretical Principles of Multiscale Spatiotemporal Control of Neuronal Networks: A Complex Systems Perspective
Name
fncom-12-00081.pdf
Description
Published version
Size
489.54 KB
Format
Unknown
Checksum (MD5)
e9a9571a8c747541b01ca9cd57748e86
Author(s)
Dehghani, Nima
Date Issued
October 2018
Journal
Frontiers in Computational Neuroscience
Publisher
Frontiers Media SA
Version
Final published version
Abstract
© 2018 Dehghani. Success in the fine control of the nervous system depends on a deeper understanding of how neural circuits control behavior. There is, however, a wide gap between the components of neural circuits and behavior. We advance the idea that a suitable approach for narrowing this gap has to be based on a multiscale information-theoretic description of the system. We evaluate the possibility that brain-wide complex neural computations can be dissected into a hierarchy of computational motifs that rely on smaller circuit modules interacting at multiple scales. In doing so, we draw attention to the importance of formalizing the goals of stimulation in terms of neural computations so that the possible implementations are matched in scale to the underlying circuit modules.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Center for Brains, Minds, and Machines
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.3389/fncom.2018.00081
