NDLI: Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb

Content Provider	PubMed Central
Author	Migliore, Michele Cavarretta, Francesco Hines, Michael L. Shepherd, Gordon M.
Copyright Year	2014
Abstract	The functional consequences of the laminar organization observed in cortical systems cannot be easily studied using standard experimental techniques, abstract theoretical representations, or dimensionally reduced models built from scratch. To solve this problem we have developed a full implementation of an olfactory bulb microcircuit using realistic three-dimensional (3D) inputs, cell morphologies, and network connectivity. The results provide new insights into the relations between the functional properties of individual cells and the networks in which they are embedded. To our knowledge, this is the first model of the mitral-granule cell network to include a realistic representation of the experimentally-recorded complex spatial patterns elicited in the glomerular layer (GL) by natural odor stimulation. Although the olfactory bulb, due to its organization, has unique advantages with respect to other brain systems, the method is completely general, and can be integrated with more general approaches to other systems. The model makes experimentally testable predictions on distributed processing and on the differential backpropagation of somatic action potentials in each lateral dendrite following odor learning, providing a powerful 3D framework for investigating the functions of brain microcircuits.
Related Links	http://dx.doi.org/10.3389/fncom.2014.00050
Starting Page	50
File Format	PDF
ISSN	16625188
e-ISSN	16625188
Journal	Frontiers in Computational Neuroscience
Volume Number	8
Language	English
Publisher	Frontiers Media S.A.
Publisher Date	2014-04-01
Access Restriction	Open
Rights Holder	Frontiers Media S.A.
Subject Keyword	Cellular and Molecular Neuroscience Neuroscience (miscellaneous) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Cellular and Molecular Neuroscience

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