7.4 KiB
postsynapse.md
Qui comprendiamo:
- POSTSYNAPSE: Postsynapse
- POST-AMPA: AMPA receptors (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors)
POSTSYNAPSE: Container
Simplified Behaviors:
— ms:
- NT arrives in cleft → AMPA receptors bind NT (receptor availability constant, no desensitization)
- V_post rises with AMPA conductance, decays passively each ms
- bAP arrives → V_post receives additional depolarisation boost
- NMDA gate checks coincidence: NT_cleft AND V_post both non-zero
- Mg_block_removal = V_post / (V_post + V_NMDA_half) — sigmoid of V_post
- Ca²⁺ enters spine via NMDA: Ca_post += k_NMDA × NT_cleft × Mg_block_removal
- Ca_post decays slowly each ms (single exponential, no pump detail)
- Ca_post_history updated every ms (feeds seconds loop)
- V_post_history updated every ms (retained for reference)
— seconds:
- Ca_post_history mean computed over past 2 s
- eCB synthesised when Ca_post_history mean exceeds eCB threshold
- eCB_level decays when Ca_post_history mean falls below threshold
- eCB_level written → read by presynapse as retrograde brake on VGCCs
- Ca_post_history compared to LTP/LTD thresholds → plasticity tag set
— mins:
- If Plasticity_LTP tagged → AMPA density increases
- If Plasticity_LTD tagged → AMPA density decreases
- AMPA density feeds back into receptor_conductance ceiling for next cycle
G expression:
POSTSYNAPSE
- bAP_ctx
-- Ca Influx
CaNDMAEnterMax: interacting
CaNDMAEnterMed: interacting
- NOT bAP_ctx:
-- Ca Influx
CaNDMAEnterMedNotBap: interacting
CaNDMAEnterLow: interacting
-- Ca Clearence
CaClearance: interacting
-- V Influx
VPostMax: interacting
VPostMed: interacting
VPostLow: interacting
-- V Clearence
VPostClearance: interacting
POST-AMPA
- NOT bAP_ctx
-- Na Influx
NaAMPAEnterMax: interacting
NaAMPAEnterMed: interacting
POST-NA-CLEAR
- NOT bAP_ctx
-- Na Clearence
NaClearanceHigh: interacting
NaClearanceLow: interacting
Tubs:
- Na: Ioni entranti tramite AMPA receptors
- NT:
- Ca2+: Ioni entranti tramite NMDA
- VPost: il voltage che viene sentito in DB
- eCB:
- Nox:?
container: POSTSYNAPSE
expansion:
- POST-AMPA ( full: 10x, active: 5x, empty: 2x )
# modulated_by: TUN-POST-IC # possible/actual
- POST-NA-CLEAR ( full: 1x, active: 1x, empty: 0x )
# modulated_by: ??
tub_local:
- Ca2+ ( full: 60x, active: 30x, empty: 0x )
- Na ( full: 60x, active: 30x, empty: 0x )
- Nox ( full: 100x, active: 20x, empty: 0x ) # Nitric Oxide (NO): A gas that diffuses freely.
- eCB ( full: 100x, active: 20x, empty: 0x ) # Endocannabinoids (e.g., 2-AG)
tub_intricated:
- NT ( contained_by: SYNAPSE )
- VPost ( contained_by: BD )
context_intricated:
- bAp ( contained_by: SOMA )
ms: behaviors POST
CheckNa: Contexting
context: CheckNa ## DA ELIMINARE ##
contained_by: BEH-POST
in_context: Fixed
rf: ( active: 60x )
condition: (Na fullness)
out_context: NaMax
condition: (Na mediumness)
out_context: NaMedium
condition: (Na emptiness)
out_context: NaLow
CaNDMAEnterMax: Interacting
interacting: CaNDMAEnterMax
contained_by: POSTSYNAPSE
in_context: bAp
rf: ( active: 2x )
hypothesis: NOT (Ca2+ full) AND
(Na fullness OR Na mediumness)
action: [Ca2+ increase]
trace:
CaNDMAEnterMed: Interacting
interacting: CaNDMAEnterMed
contained_by: POSTSYNAPSE
in_context: bAp
rf: ( active: 4x )
hypothesis: NOT (Ca2+ full) AND (Na emptiness)
action: [Ca2+ increase]
trace:
CaNDMAEnterMedNotBap: Interacting
interacting: CaNDMAEnterMedNotBap
contained_by: POSTSYNAPSE
in_context: NOT bAP
rf: ( active: 4x )
hypothesis: NOT (Ca2+ full) AND (Na fullness)
action: [Ca2+ increase]
trace:
CaNDMAEnterLow: Interacting
interacting: CaNDMAEnterLow
contained_by: POSTSYNAPSE
in_context: NOT bAP
rf: ( active: 12x )
hypothesis: NOT (Ca2+ full) AND (Na mediumness)
action: [Ca2+ increase]
trace:
CaClearance: Interacting
interacting: CaClearance
contained_by: POSTSYNAPSE
in_context: NOT bAP
rf: ( active: 24x ) # Low
hypothesis: NOT (Ca2+ empty)
action: [Ca2+ decrease]
trace: None
CheckCaVPost:Contexting
Qui controlliamo il livello di Ca2+, che e' stato fatto entrare da NMDA, e creaiamo VPost nel DB. Abbiamo fatto una semplificazione, perche' il Ca2+ dovrebbe entrare nel DB in base a V_Post che fa aprire canali in DB. Invece creaimo direttamente il VPost.
context: CheckCaVPost ### DA ELIMINARE ###
contained_by: BEH-POST
in_context: Fixed
rf: ( active: 60x )
condition: (Ca2+ fullness)
out_context: CaMax
condition: (Ca2+ mediumness)
out_context: CaMedium
condition: (Ca2+ emptiness)
out_context: CaLow
VPostMax:Interacting
VPostMed:Interacting
VPostMin:Interacting
VPostClearance:Interacting
Il clearance lo facciamo qui nel container dove creaiamo anche i VPost, perche' altrimenti, se lo facessimo in DB, perderemmo l'aspetto temporale della contribuzione dei singoli POST.
POST-AMPA: Container
container: POST-AMPA
tub_intricated:
- NT ( contained_by: SYNAPSE )
context_intricated:
- Na ( contained_by: POSTSYNAPSE )
ms: behaviors AMPA
CheckNTPost: Contexting
context: CheckNTPost ### DA ELIMINARE ###
contained_by: POST-AMPA
in_context: NOT bAP_ctx
rf: ( active: 8x )
condition: (NT mediumness)
out_context: NTMedium
condition: (NT fullness)
out_context: NTFull
NaAMPAEnterMax: Interacting
interacting: NaAMPAEnterMax
contained_by: POST-AMPA
in_context: NOT bAP_ctx
rf: ( active: 2x )
hypothesis: (NT fullness)
action: [Na increase]
trace:
NaAMPAEnterMed: Interacting
interacting: NaAMPAEnterMed
contained_by: POST-AMPA
in_context: NOT bAP_ctx
rf: ( active: 4x )
hypothesis: (NT mediumness)
action: [Na increase]
trace:
TUN-POST-AMPA: Tuner
tuner: TUN-POST-AMPA
contained_by: BEH-POST
tunes: BEH-POST/expansion/BEH-POST-IC
tub_modulation: # in TUN agiamo su POS/ACT
- posMod ( fullness: None, active: BEH-POST-IC/fullness, empty: 0x) # riferimento a possible di BEH-PRE
- actMod ( fullness: None, active: BEH-POST-IC/active, empty: BEH-POST-IC/emptiness) # riferimento a active di BEH-PRE
context_intricated:
- TunPossible ( contained_by: DAY-N )
tub_local:
tub_intricated:
Contexting
context: Check
contained_by: TUN-POST-AMPA
in_context: TunPossible
rf: ( active: 60x )
condition:
out_context: TunPostIc
Interacting
episode: ?
contained_by: TUN-POST-AMPA
in_context: TunPostIc
rf: ( active: x )
hypothesis:
action:
trace:
BEH-POST-NA-CLEAR: Container
Il clearance lo mettiamo qui come container, perche' gli AMPA creano, e questo container pompa fuori. Qui non e' un problema di perdere l'integrazione temporale, perche' gli AMPA sono tutti uguali nel loro behavior. Abbiamo messo gli AMPA come container perche' cosi' possiamo modularne la numerosita'.
container: BEH-POST-NA-CLEAR
context_intricated:
- Na ( contained_by: BEH-POST )
