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    This video expands upon the model from my previous post. It now incorporates connections between orientation selective cells in the visual cortex. If I made this right ( and I'm not sure I did ), cobweb like lattices of lines should be stabilized. I couldn't generate a proper map of the orientation selectivity in visual cortex, so I just seeded random orientation selectivity. This is not physically realistic and probably changes the results. The equations are the same as in my previous post, but with a new term Eorient added into du/dt which accounts for input from other orientation selective cells.



    The degree of excitation from orientation selective connections at some point r is proportional to the sum over the activation of all cells in the neighborhood of r, where input is weighted as a Gaussian function of distance, and is strongest when both cells are tuned to the same orientation, and cell r lies along the direction of the preferred orientation of cell r' . U and Theta are fields ( represented at floating point matrices in the code ). The bold subscripts represent particular points in the filed. U represents the synaptic activation ( correlated to neuron firing rate ), and Theta represents the preferred stimulus orientation for a cell.

    Tue, Aug 12, 2008  Permanent link

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