@article{TEXTUAL,
      recid = {8391},
      author = {Gururangan, Suchin S. and Sadovsky, Alexander J. and  MacLean, Jason N.},
      title = {Analysis of Graph Invariants in Functional Neocortical  Circuitry Reveals Generalized Features Common to Three  Areas of Sensory Cortex},
      journal = {PLOS Computational Biology},
      address = {2014-07-10},
      number = {TEXTUAL},
      abstract = {Correlations in local neocortical spiking activity can  provide insight into the underlying organization of  cortical microcircuitry. However, identifying structure in  patterned multi-neuronal spiking remains a daunting task  due to the high dimensionality of the activity. Using  two-photon imaging, we monitored spontaneous circuit  dynamics in large, densely sampled neuronal populations  within slices of mouse primary auditory, somatosensory, and  visual cortex. Using the lagged correlation of spiking  activity between neurons, we generated functional wiring  diagrams to gain insight into the underlying neocortical  circuitry. By establishing the presence of graph  invariants, which are label-independent characteristics  common to all circuit topologies, our study revealed  organizational features that generalized across  functionally distinct cortical regions. Regardless of  sensory area, random and -nearest neighbors null graphs  failed to capture the structure of experimentally derived  functional circuitry. These null models indicated that  despite a bias in the data towards spatially proximal  functional connections, functional circuit structure is  best described by non-random and occasionally distal  connections. Eigenvector centrality, which quantifies the  importance of a neuron in the temporal flow of circuit  activity, was highly related to feedforwardness in all  functional circuits. The number of nodes participating in a  functional circuit did not scale with the number of neurons  imaged regardless of sensory area, indicating that circuit  size is not tied to the sampling of neocortex. Local  circuit flow comprehensively covered angular space  regardless of the spatial scale that we tested,  demonstrating that circuitry itself does not bias activity  flow toward pia. Finally, analysis revealed that a minimal  numerical sample size of neurons was necessary to capture  at least 90 percent of functional circuit topology. These  data and analyses indicated that functional circuitry  exhibited rules of organization which generalized across  three areas of sensory neocortex.},
      url = {http://knowledge.uchicago.edu/record/8391},
}