Danielle Morel

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Linear additivity of synaptic input is a pervasive assumption in computational neuroscience, and previously Bernander et al. (Journal of Neurophysiology 72:2743–2753, 1994) point out that the sublinear additivity of a passive neuronal model can be linearized with voltage-dependent currents. Here we re-examine this perspective in light of more recent(More)
We consider neurons under constant synaptic bombardment spending much of their time in a range of -62 to -58 mV with threshold around -55 to -52 mV. For this subthreshold voltage range, the A-type potassium (gA) [2] and the persistent sodium (gNaP) [3,4] are the most relevant linearizing conductances. Here 'linear' means that, within a certain voltage(More)
Previous work [1] using a one-compartment steady-state computer model of a neuron shows how combinations of two active dendritic conductances can produce a linear dendritic response over a voltage range of ca. 15 to 22 mV. Here we extend this linearization issue to a dynamic, non-steady state situation for a neuron model with a soma, dendrite and distal(More)
The hyperpolarization-activated mixed cation and the persistent sodium conductances are compared as linearizing mechanisms for somatodendritic synaptic integration in steady-state systems. In the steady-state model used, the persistent sodium conductance creates a well-defined region of linear synaptic excitation, from 66 to 55mV. This corresponds to a(More)
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