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Computational design and nonlinear dynamics of a recurrent network model of the primary visual cortex

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Figure

Figure 1: A reduced model consisting of symmetrically coupled cells tuned to ver-tical orientation (θ = 0)
Figure 2: A schematic of the minimal model of the primary visual cortex. A:inputs are sampled in a discrete grid by edge/bar detectors, modeling receptivefields (RFs) for V1 layer 2-3 cells
Figure 3: A,B: examples of gIx(x) and gy(y) functions. C: Input-output function → gx(¯x) for an isolated neural pair without inter-pair neural interactions, underdifferent levels of Ic
Figure 5: Simulated outputs from a cortical model to corresponding visual inputpatterns of 1 dimensional arrays of bars
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