Computer simulation of cortical development
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1
University of Zurich and ETH Zurich, Institut fur Neuroinformatik, Switzerland
Simulation is a valuable tool for exploring self organization in neural-tissue development. We present our latest results in modeling corticogenesis using the simulator CX3D. An artificial genetic code is integrated into an initial progenitor cell, under the influence of which the progenitor undergoes cycles of symmetrical and asymmetrical division to form populations of distinct neuron precursors. The genetic code also governs the migration of the precursors to form a layered structure, and the expression of layer-specific dendritic and axonal arbors. We compare our results with measurements of reconstructed neurons from cat visual cortex and observed cell lineages in the cortex of embryonic mice. Moreover, by adding synaptic connections between adjacent axons and dendrites, we generate a neural network with connectivity analogous to that observed in the cortex. A description of this network can be exported to PCSIM to simulate the electrophysiology of the network.
Conference:
Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009.
Presentation Type:
Poster Presentation
Topic:
Computational neuroscience
Citation:
Pfister
S,
Hauri
A,
Zubler
F,
Bauer
R,
Whatley
AM and
Douglas
RJ
(2019). Computer simulation of cortical development.
Front. Neuroinform.
Conference Abstract:
Neuroinformatics 2009.
doi: 10.3389/conf.neuro.11.2009.08.114
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Received:
25 May 2009;
Published Online:
09 May 2019.
*
Correspondence:
Sabina Pfister, University of Zurich and ETH Zurich, Institut fur Neuroinformatik, Zurich, Switzerland, sabina@ini.ch