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SIAMAM
2008

Bifurcation Analysis of a General Class of Nonlinear Integrate-and-Fire Neurons

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Bifurcation Analysis of a General Class of Nonlinear Integrate-and-Fire Neurons
In this paper we define a class of formal neuron models being computationally efficient and biologically plausible, i.e., able to reproduce a wide range of behaviors observed in in vivo or in vitro recordings of cortical neurons. This class includes, for instance, two models widely used in computational neuroscience, the Izhikevich and the Brette
Jonathan Touboul
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2008
Where SIAMAM
Authors Jonathan Touboul
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