Rich cell-type-specific network topology in neocortical microcircuitry.

Abstract:

:Uncovering structural regularities and architectural topologies of cortical circuitry is vital for understanding neural computations. Recently, an experimentally constrained algorithm generated a dense network reconstruction of a ∼0.3-mm3 volume from juvenile rat somatosensory neocortex, comprising ∼31,000 cells and ∼36 million synapses. Using this reconstruction, we found a small-world topology with an average of 2.5 synapses separating any two cells and multiple cell-type-specific wiring features. Amounts of excitatory and inhibitory innervations varied across cells, yet pyramidal neurons maintained relatively constant excitation/inhibition ratios. The circuit contained highly connected hub neurons belonging to a small subset of cell types and forming an interconnected cell-type-specific rich club. Certain three-neuron motifs were overrepresented, matching recent experimental results. Cell-type-specific network properties were even more striking when synaptic strength and sign were considered in generating a functional topology. Our systematic approach enables interpretation of microconnectomics 'big data' and provides several experimentally testable predictions.

journal_name

Nat Neurosci

journal_title

Nature neuroscience

authors

Gal E,London M,Globerson A,Ramaswamy S,Reimann MW,Muller E,Markram H,Segev I

doi

10.1038/nn.4576

subject

Has Abstract

pub_date

2017-07-01 00:00:00

pages

1004-1013

issue

7

eissn

1097-6256

issn

1546-1726

pii

nn.4576

journal_volume

20

pub_type

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