- Poster presentation
- Open Access
The computational properties of a simplified cortical column model
© Cain et al; licensee BioMed Central Ltd. 2014
- Published: 21 July 2014
- Sensory Perception
- High Cognitive Process
- Response Property
- Motor Output
- Linear Kernel
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.
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