varie

neuron/BEH-BD.md

@@ -95,6 +95,14 @@ Container: BEH-BD
 
 ```
 
+---
+
+**Tubs:**
+
+- **??**: ..
+
+---
+
 ### ms: behaviors BD
 
 #### CheckVPost:Context

neuron/BEH-SOMA.md

@@ -35,19 +35,17 @@ In this model we decide to simplify:
 - We do not model the axon hillock as a separate compartment — threshold crossing is computed directly from V_soma
 - We do not model neuromodulatory inputs — threshold and gain are fixed parameters
 - We do not model subthreshold oscillations — V_soma is a simple leaky integrator
-- We do not model the f-I curve explicitly — firing rate emerges from the threshold crossings of V_soma across the simulation
-- We do not model somatic ATP separately — the soma shares the postsynaptic ATP pool (`ATP_level_post`) drawn from the same astrocyte glucose supply
+- We do not model somatic ATP
 
 The simplifications imply that:
 
 Removing the axon hillock as a separate compartment means the threshold comparison is applied directly to V_soma rather than to a spatially distinct zone with its own channel density. In biology the hillock has a lower threshold than the soma body because of its higher Na⁺ channel density — this gradient is absent here. A single fixed threshold applied to V_soma is a reasonable approximation for a single-compartment model, but it means the model cannot capture phenomena that depend on the hillock's spatial separation from the dendritic integration zone, such as the ability of strong distal dendritic inputs to bypass somatic inhibition.
+
 Removing neuromodulatory inputs means the threshold and gain of the soma are fixed across the entire simulation. In biology dopamine, serotonin, and acetylcholine continuously adjust V_soma_threshold and the shape of the f-I curve in response to behavioural state. A neuron in an attentive animal fires more readily to the same input than the same neuron in a drowsy animal. This state-dependence is entirely absent — the soma responds identically to a given V_dend at all times.
 
 Removing subthreshold oscillations means V_soma behaves as a simple leaky integrator between APs. In some neuron types, voltage-gated channels produce rhythmic subthreshold fluctuations that bias the timing of AP generation toward specific phases of network oscillations. These are not modelled — V_soma decays smoothly toward rest between threshold crossings.
 
-Removing the f-I curve as an explicit target means the relationship between input intensity and output firing rate is not directly controlled. Instead, firing rate emerges naturally from the interplay of V_soma integration, threshold, and the refractory period. A sustained V_dend above threshold will produce repeated APs at a rate limited by t_refractory_rel — the maximum firing rate is approximately 1000 / t_refractory_rel Hz. This emergent f-I behaviour is biologically plausible even if it is not calibrated to a specific neuron type.
-
-Sharing the postsynaptic ATP pool rather than maintaining a separate somatic pool means Na/K-ATPase costs at the soma are not distinguished from those at the spine. In biology the soma and its proximal dendrites have a large Na/K-ATPase demand that is metabolically distinct from the spine compartment. Here both costs accumulate into ATP_demand_post and are replenished from the same glucose budget. This is a simplification of convenience — the total metabolic load is accounted for, but its spatial origin within the postsynaptic compartment is not resolved.
+ATP is a simplification of convenience — at this stage we do not comprehend the total metabolic load.
 
 ---
 
@@ -68,6 +66,14 @@ Sharing the postsynaptic ATP pool rather than maintaining a separate somatic poo
   V_bAP += (0 - V_bAP) * dt / tau_bAP
   decay runs independently of soma state
 
+- SpikeTrainTraces
+-- creation
+-- destruction
+
+- SOMA-VCGG servono a modificare il comportamento del SOMA: refractory period.
+
+- threshold AP: da capire come lo modifico, forse con una modifica ad una fullness
+
 — seconds:
 
 - nothing — no slow integration in the soma
@@ -86,6 +92,14 @@ Sharing the postsynaptic ATP pool rather than maintaining a separate somatic poo
 
 ---
 
+**Tubs:**
+
+- **SpikeTrainTraces**: sono le tracce che consentono al neurone di far partire il Tuning neuronale, quando e' lontano da uno spike-train, ovvero e' in riposo.
+
+- **??**: ...
+
+---
+
 ```Gen
 container: BEH-SOMA
 
@@ -147,7 +161,7 @@ container: BEH-SOMA-VCGG
 
 ```Gen
 episode: ??
-  contained_by: BEH-VCGG
+  contained_by: BEH-SOMA-VCGG
 
   in_context: xxx
   rf: ( active: 1x )