varie
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@@ -33,13 +33,10 @@ The soma is therefore not a simple threshold device. It is a dynamic integrator
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In this model we decide to simplify:
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- We do not model the axon hillock as a separate compartment — threshold crossing is computed directly from V_soma
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- We do not model channel kinetics — the AP is treated as an instantaneous threshold event with no rise time or repolarisation dynamics
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- We do not model the refractory period — the soma can fire on every ms if input is sufficient
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- We do not model neuromodulatory inputs — threshold and gain are fixed parameters
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- We do not model subthreshold oscillations — V_soma is a simple leaky integrator
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- We do not model the f-I curve explicitly — firing rate emerges from the threshold crossings of V_soma across the simulation
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- We do not model somatic ATP separately — the soma shares the postsynaptic ATP pool (`ATP_level_post`) drawn from the same astrocyte glucose supply
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- Soma firing is driven by an external `soma_spike_train` rather than emerging from V_soma threshold crossings — V_soma is computed for reference but does not itself trigger firing in this version
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The simplifications imply that:
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