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  • Open Access

Cell-type specific connectivity accounts for diverse in vivo functional roles of inhibitory neurons in V1

BMC Neuroscience201516 (Suppl 1) :P165

  • Published:


  • Superficial Layer
  • Inhibitory Neuron
  • Gain Modulation
  • Column Model
  • Cortical Column

Inhibitory neurons have a large diversity [1], however functional roles of diverse subtypes have not been elucidated. We aim to help systematically addressing this question using large scale modeling and coarse graining between scales. Mesoscopic models of in vivo activity starting from structure have only recently become feasible making use of development of cortical column models [2], knowledge of connectivity [3, 4], scalable simulation tools [NEST] and robust population statistic techniques [5].

Vasoactive intestinal peptide-positive (VIP+) interneurons are one of the major inhibitory cell types in the cortex [1], and their excitability has been found to be associated with various endogenous factors such as brain states and top-down signals. Zhang et al. [6] recently found that top-down signals originated in the cingulate (Cg) strongly innervate VIP + interneurons of V1, indicating the critical role of VIP+ cells in attentional gain modulation. We studied their effect on top-down signals using both analytical and computational models. Using a coarse-grained firing rate model for the cell types in the superficial layers we found that the reported cell-type specific connectivity allows top-down inputs to VIP+ interneurons to effectively disinhibit pyramidal cell activity. Due to the limitations of the firing rate model, we utilized large scale computational models to investigate mechanisms underlying attentional gain modulation in an entire network. Specifically, we adopted the multiple column model proposed by Wagatsuma et al. [4] and modified them by incorporating three inhibitory cell types into the superficial layers of the model. In our model we considered parvalbumin-positive (PV+), SST+ and VIP+ inhibitory cells. We also constructed the data-driven cell-type specific intercolumnar connections between columns. Our model was capable of reproducing multiplicative gain modulation (see Figure 1), and our simulation results suggest that non-specific activation of VIP cells is sufficient for generating multiplicative gain modulation.
Figure 1
Figure 1

Simulated tuning curve for pyramidal neurons as a function of top-down inputs to VIP cells. These inputs allow a multiplicative gain modulation of the bottom-up input.

We also note that PV+ cell-mediating inhibition across columns is critical for regulating the responses over small spatial scales: e.g. induced by non-preferred stimulus (orientation). SST+ cell mediate inhibition across columns and allow contextual visual processing in V1.

Authors’ Affiliations

Allen Institute for Brain Science, Seattle, WA 98103, USA


  1. Rudy B, Fishell G, Lee S, Hjerling-Leffler J: Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons. Developmental Neurobiology. 2011, 71 (1): 45-61. doi:10.1002/dneu.20853PubMedPubMed CentralView ArticleGoogle Scholar
  2. Wagatsuma N, Potjans TC, Diesmann M, Sakai K, Fukai T: Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model. PLoS One. 2013, 8 (12): e80788-doi:10.1371/journal.pone.0080788PubMedPubMed CentralView ArticleGoogle Scholar
  3. Pfeffer CK, Xue M, He M, Huang ZJ, Scanziani M: Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons. Nature Neuroscience. 2013, 16 (8): 1068-1076. doi:10.1038/nn.3446PubMedPubMed CentralView ArticleGoogle Scholar
  4. Oh SW, et al: A mesoscale connectome of the mouse brain. Nature. 2014, 508 (7495): 207-14. Apr 10; doi: 10.1038/nature13186. Epub 2014 Apr 2PubMedView ArticleGoogle Scholar
  5. Iyer R, Menon V, Buice M, Koch C, Mihalas S: The influence of synaptic weight distribution on neuronal population dynamics. PLoS Comput Biol. 2013, 9 (10): e1003248-Oct; doi: 10.1371/journal.pcbi.1003248PubMedPubMed CentralView ArticleGoogle Scholar
  6. Zhang S, Xu M, Kamigaki T, Hoang Do JP, Chang WC, Jenvay S, Miyamichi K, Luo L, Dan Y: Long-range and local circuits for top-down modulation of visual cortex processing. Science. 345 (6197): 660-665. doi:10.1126/science.1254126Google Scholar


© Lee and Mihalas 2015

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