The computational properties of a simplified cortical column model
© Cain et al; licensee BioMed Central Ltd. 2014
Published: 21 July 2014
The mammalian neocortex generally has a repetitious, laminar structure and performs functions integral to higher cognitive processes, including sensory perception, memory, and coordinated motor output. What computations does this circuitry subserve, that might connect these unique structural elements with their biological function? Potjans and Diesmann  parameterize a four- layer, two cell-type (i.e excitatory and inhibitory) model of a cortical column. Beginning with their detailed model description, we implement their model using a displacement PDE (DiPDE) population statistic approach. This approach affords fast semi-analytic numerical method to solve equations describing homogeneous neuronal populations  (see also ).
This work was funded by the Allen Institute for Brain Science. The authors wish to thank the Allen Institute founders, Paul G. Allen and Jody Allen, for their vision, encouragement, and support.
- Potjans TC, Diesmann M: The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model. Cerebral Cortex. 2014, 24 (3): 785-806. 10.1093/cercor/bhs358.PubMed CentralView ArticlePubMedGoogle Scholar
- Iyer R, Menon V, Buice M, Koch C, Mihalas S: The Influence of Synaptic Weight Distri- bution on Neuronal Population Dynamics. PLoS Comput Biol. 2013, 9 (10): e1003248-10.1371/journal.pcbi.1003248.PubMed CentralView ArticlePubMedGoogle Scholar
- Cain N, et al: Simulations of the statistics of firing activity of neuronal populations in the entire mouse brain. Neuroscience Meeting Planner. 2013, 488 (01): Society for NeuroscienceGoogle Scholar
- Wagatsuma N, Potjans T, Diesmann M, Fukai T: Layer-dependent attentional processing by top-down signals in a visual cortical microcircuit model. Frontiers in Computational Neuroscience. 2011, 5:Google Scholar
- Douglas R, Martin K: Neuronal circuits of the neocortex. Annu. Rev. Neurosci. 2004, 27: 419-451. 10.1146/annurev.neuro.27.070203.144152.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.