Neural Comput - Tuning low-voltage-activated A-current for silent gain modulation.

Tópicos

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Resumo

Modulation of stimulus-response gain and stability of spontaneous (unstimulated) firing are both important for neural computation. However, biologically plausible mechanisms that allow these distinct functional capabilities to coexist in the same neuron are poorly defined. Low-threshold, inactivating (A-type) K(+) currents (I(A)) are found in many biological neurons and are historically known for enabling low-frequency firing. By performing simulations using a conductance-based model neuron, here we show that biologically plausible shifts in I(A) conductance and inactivation kinetics produce dissociated effects on gain and intrinsic firing. This enables I(A) to regulate gain without major changes in intrinsic firing rate. Tuning I(A) properties may thus represent a previously unsuspected single-current mechanism of silent gain control in neurons.

Resumo Limpo

modul stimulusrespons gain stabil spontan unstimul fire import neural comput howev biolog plausibl mechan allow distinct function capabl coexist neuron poor defin lowthreshold inactiv atyp k current ia found mani biolog neuron histor known enabl lowfrequ fire perform simul use conductancebas model neuron show biolog plausibl shift ia conduct inactiv kinet produc dissoci effect gain intrins fire enabl ia regul gain without major chang intrins fire rate tune ia properti may thus repres previous unsuspect singlecurr mechan silent gain control neuron

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