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Fig. 37 | BMC Neuroscience

Fig. 37

From: 25th Annual Computational Neuroscience Meeting: CNS-2016

Fig. 37

Theoretical predictions (lines) and numerical simulation (markers) are shown. A1 Classification of line segments. (Solid) lines embedded in the margin, (dotted) lines touching the margin, (striped) interior lines .A2 Capacity α = P/N of a network N = 200 as a function of R (line length) with margins κ = 0, 0.5. A3 Fraction of configurations at capacity with κ = 0. (red) lines in the margin, (blue) touching the margin, (black) interior lines. B1 D2 balls, B2 capacity α = P/N for κ = 0 for large D = 50 and R \( \propto \) D−1/2 as a function of \( {\text{R}}\sqrt {\text{D}} \). (Blue solid) αD(0, R) compared with α0(\( {\text{R}}\sqrt {\text{D}} \)) (red square). (Inset) capacity α at κ = 0 for 0.35 ≤ R ≤ 20 and D = 20: (blue) theoretical α compared with approximate form (1 + R−2)/D (red dashed). C1 2D L1 balls. C2 Fraction of configurations as a function of radius R at capacity with κ = 0. (red) entire manifold embedded, (blue) touching margin at a single vertex, (gray) touching with two corners (one side), (purple) interior manifold

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