12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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One-Dimensional <strong>Systems</strong> 77F(V)I=18I=17I=16I=15I=14I=13I=12I=11no equilibriabifurcationtwo equilibriatangentpo<strong>in</strong>tVstable equilibriaunstable equilibriaFigure 3.26: Saddle-node bifurcation: As the graph of the function F (V ) is lifted up,the stable and unstable equilibria approach each other, coalesce at the tangent po<strong>in</strong>t,and then disappear.saddle-nodenot saddle-nodeFVnon-hyperbolichyperbolichyperbolicnon-degenerate degenerate degeneratetransversalnot transversalnot transversalFigure 3.27: Geometrical illustration of the three conditions def<strong>in</strong><strong>in</strong>g saddle-node bifurcations.Arrows denote the direction of displacement of the function F (V, I) as thebifurcation parameter I changes.

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