title: Interneuron Diversity series: Circuit complexity and axon wiring economy of cortical interneurons.
abstract: The performance of the brain is constrained by wiring length and maintenance costs. The apparently inverse relationship between number of neurons in the various interneuron classes and the spatial extent of their axon trees suggests a mathematically definable organization, reminiscent of 'small-world' or scale-free networks observed in other complex systems. The wiring-economy-based classification of cortical inhibitory interneurons is supported by the distinct physiological patterns of class members in the intact brain. The complex wiring of diverse interneuron classes could represent an economic solution for supporting global synchrony and oscillations at multiple timescales with minimum axon length.
authors.affiliation: Center for Molecular and Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, NJ 07102, USA.
authors.forename: György
authors.initials: G
authors.lastname: Buzsáki
authors.forename: Caroline
authors.initials: C
authors.lastname: Geisler
authors.forename: Darrell A
authors.initials: DA
authors.lastname: Henze
authors.forename: Xiao-Jing
authors.initials: XJ
authors.lastname: Wang
mesh_terms: D000818:Animals; D001369:Axons / Q000502:physiology; D002450:Cell Communication / Q000502:physiology; D002540:Cerebral Cortex / Q000166:cytology / Q000502:physiology*; D006801:Humans; D007395:Interneurons / Q000145:classification* / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology*