Update 2026-06-04-modulation-of-future-behavior.md

This commit is contained in:
2026-06-05 11:26:17 +02:00
parent 9428ad0973
commit 641a60debe
@@ -44,20 +44,20 @@ post_Ca_amplitude = NMDA_influx(glutamate_cleft, membrane_potential)
post_Ca_rise_speed = d(post_Ca_amplitude) / dt post_Ca_rise_speed = d(post_Ca_amplitude) / dt
if post_Ca_amplitude > Ca_HIGH and post_Ca_rise_speed > fast_threshold: if post_Ca_amplitude > Ca_HIGH and post_Ca_rise_speed > fast_threshold:
activate(CaMKII) // → LTP kinase pathway activate(CaMKII) // → LTP kinase pathway
elif post_Ca_amplitude > Ca_LOW and post_Ca_rise_speed < slow_threshold: elif post_Ca_amplitude > Ca_LOW and post_Ca_rise_speed < slow_threshold:
activate(PP1, PP2B) // → LTD phosphatase pathway activate(PP1, PP2B) // → LTD phosphatase pathway
else: else:
pass // sub-threshold — no instruction encoded pass // sub-threshold — no instruction encoded
// Astrocyte: local vs global Ca²⁺ = two different alarms // Astrocyte: local vs global Ca²⁺ = two different alarms
astro_Ca_local = IP3_release(mGluR5_activation) // activity-proportional astro_Ca_local = IP3_release(mGluR5_activation) // activity-proportional
astro_Ca_global = soma_wave(astro_Ca_local > OVERLOAD_threshold) astro_Ca_global = soma_wave(astro_Ca_local > OVERLOAD_threshold)
if astro_Ca_local > local_threshold: if astro_Ca_local > local_threshold:
D_serine_release += gliotransmitter_pulse() // widens NMDA window D_serine_release += gliotransmitter_pulse() // widens NMDA window
if astro_Ca_global: if astro_Ca_global:
trigger(shockwave_lockdown) // circuit-breaker trigger(shockwave_lockdown) // circuit-breaker
``` ```
## layer 2 — mGluRs: was it excessive? ## layer 2 — mGluRs: was it excessive?
@@ -91,8 +91,8 @@ function PKA_context_gate():
// Neuromodulators set the gate via Gs protein // Neuromodulators set the gate via Gs protein
if dopamine_level > D1_threshold or norepinephrine_level > β_threshold: if dopamine_level > D1_threshold or norepinephrine_level > β_threshold:
cAMP_level += Gs_activation(adenylyl_cyclase) cAMP_level += Gs_activation(adenylyl_cyclase)
PKA_activity = proportional_to(cAMP_level) PKA_activity = proportional_to(cAMP_level)
// Target 1: prime AMPA insertion // Target 1: prime AMPA insertion
phosphorylate(GluA1, site=Ser845) phosphorylate(GluA1, site=Ser845)
@@ -119,24 +119,44 @@ overflow_sensed = mGluR5_activation == True // layer 2: was it excessive?
context_validated = DARPP32_phospho and GluA1_Ser845_primed // layer 3: worth saving? context_validated = DARPP32_phospho and GluA1_Ser845_primed // layer 3: worth saving?
if event_detected and overflow_sensed and context_validated: if event_detected and overflow_sensed and context_validated:
activate(CaMKII) // Ca²⁺ signal now gets converted activate(CaMKII) // Ca²⁺ signal now gets converted
AMPA_count += receptor_insertion(CaMKII, GluA1_Ser845_primed) AMPA_count += receptor_insertion(CaMKII, GluA1_Ser845_primed)
active_zone_size += structural_expansion(CREB_active) active_zone_size += structural_expansion(CREB_active)
ECM_integrity += astrocyte_sealing(astro_Ca_local) ECM_integrity += astrocyte_sealing(astro_Ca_local)
return "potentiated" return "potentiated"
elif event_detected and not context_validated: elif event_detected and not context_validated:
return "temporary facilitation only" // Ca²⁺ rose but no save signal return "temporary facilitation only" // Ca²⁺ rose but no save signal
elif not event_detected and overflow_sensed: elif not event_detected and overflow_sensed:
activate(PP1) // phosphatase wins — LTD activate(PP1) // phosphatase wins — LTD
AMPA_count -= receptor_internalization(PP1) AMPA_count -= receptor_internalization(PP1)
return "depressed" return "depressed"
else: else:
return "baseline — no change" return "baseline — no change"
``` ```
## End ## Conclusion
The key architectural decision in this pseudocode is the separation into three explicit layers that feed into a single commit_to_structural_change function. Each layer answers one question independently before the final AND-gate runs — Ca²⁺ detects the event, mGluRs assess its magnitude, and cAMP/PKA validates its context. Notice also that mGluR layer has a push-pull side effect that feeds back into the Ca²⁺ layer (astro_Ca_local is updated by mGluR5_activation), making the system not a strict pipeline but a loop — the overflow sensor actively reshapes what the event recorder sees next. The key architectural decision in this pseudocode is the separation into three explicit layers that feed into a single commit_to_structural_change function. Each layer answers one question independently before the final AND-gate runs — Ca²⁺ detects the event, mGluRs assess its magnitude, and cAMP/PKA validates its context. Notice also that mGluR layer has a push-pull side effect that feeds back into the Ca²⁺ layer (astro_Ca_local is updated by mGluR5_activation), making the system not a strict pipeline but a loop — the overflow sensor actively reshapes what the event recorder sees next.
## Neuromodulators
These are produced by small, anatomically concentrated nuclei that broadcast widely across the brain:
dopamine_level // "save button" — validates LTP
norepinephrine_level // arousal / signal-to-noise gain
acetylcholine_level // attention — lowers LTP threshold
### Dopamine
Dopamine is produced primarily by neurons in the Substantia Nigra pars compacta (projecting to the striatum, relevant for motor learning and habit formation) and the Ventral Tegmental Area (VTA) (projecting to the prefrontal cortex and limbic system via the mesolimbic and mesocortical pathways, relevant for reward, motivation, and the "save button" function in your model).
### Norepinephrine
Norepinephrine is produced almost exclusively by the Locus Coeruleus, a tiny nucleus in the brainstem pons. Despite its small size it projects diffusely across virtually the entire brain — cortex, hippocampus, cerebellum, spinal cord. It's essentially the brain's arousal and signal-to-noise broadcaster, firing tonically at low rates during calm wakefulness and phasically during novel or stressful events.
### Acetylcholine
Acetylcholine has two main sources: the basal forebrain nuclei (including the nucleus basalis of Meynert) projecting to the cortex and hippocampus — relevant for attention and learning gating — and the medial septum projecting specifically to the hippocampus, where it strongly modulates theta rhythms and memory encoding.
What's striking in the context of your model is that all three systems share the same architectural logic: a tiny, localized cell population broadcasts a global contextual signal that shifts the operational threshold of millions of synapses simultaneously — none of them carrying specific content, all of them modulating how content gets written.