Dynamics of Cortical Columns – Self-organization of Receptive Fields
We present a system of differential equations which abstractly models neural dynamics and synaptic plasticity of a cortical macrocolumn. The equations assume inhibitory coupling between minicolumn activities and Hebbian type synaptic plasticity of afferents to the minicolumns. If input in the form of activity patterns is presented, self-organization of receptive fields (RFs) of the minicolumns is induced. Self-organization is shown to appropriately classify input patterns or to extract basic constituents form input patterns consisting of superpositions of subpatterns. The latter is demonstrated using the bars benchmark test. The dynamics was motivated by the more explicit model suggested in  but represents a much compacter, continuous, and easier to analyze dynamic description.
Keywordscerebral cortex cortical columns non-linear dynamics self-organization receptive fields
Unable to display preview. Download preview PDF.
- 5.Schmidt, K.E., Kim, D.S., Singer, W., Bonhoeffer, T., Löwel, S.: Functional specificity of long-range intrinsic and interhemispheric connections in the visual cortex of strabismic cats. Journal of Neuroscience 17, 5480–5492 (1997)Google Scholar
- 8.Lücke, J.: Hierarchical self-organization of minicolumnar receptive fields. Neural Networks, Special Issue ‘New Developments in Self-Organizing Systems’ 17/8–9, 1377–1389 (2004)Google Scholar