144
Table B.3: Channel model and kinetics that allow weakly excitable dendrites. For G(x},
x is measured in μm from the soma. The model for ⅛a is divided into two components,
proximal and distal, which are denoted 1кА(ргох) and lKA(dist), respectively. Some of the
gating variables in this model have time constants τ that depend on temperature T via
a so-called Qw factor. The temperature is set to T = 35oC to match the value used in
(Migliore et al., 1999).
Gating Var.
m |
0.4(υ+30) O124(υ + 3O) 1—e×p(-(v-t-30)∕7.2) exp{(υ+30)∕7.2)-ɪ |
h |
0.03(υ + 45) 0.01(υ-f-45) 1— exp(- (υ÷45)∕1.5) exp((υ+45)∕l .5) -1 exp(0.45(∙υ -f- 60)) exp(0.09(υ + 60)) |
nDR |
exp(-0.11(υ — 13)) exp(-0.08(∙u — 13)) exp(-0.038(1.5 + 1+exp⅛0∕5> ))( ^ - ɪl) exp(-0.038(0.825 + 1+cxp^+40∕5) ))<» - ɪɪ) exp(-0.038(1.8 + 1+exp(i+40∕5⅛ ))(■> + ɪ) exp(-0.038(0.7 + 1+-i⅛ ))(v + ɪ) exp(0.11(v + 5β)) |
Ionic Current |
Gating Variables |
G(x) (mS∕cm2) |
E (mV) | |||
ʃleak |
0.3 |
-65 | ||||
INa |
m3, h, i |
32 |
55 | |||
Udr |
10 |
-90 | ||||
^A(pτt>χ∙) |
Uprox1 Iprox |
∫48(1 + I0 |
x∕100) |
x ≤ X > |
IOO μm 100 μm |
-90 |
ʃʌʌ(dɪst) |
Udist1 Idist |
ʃθ (48(1 + |
a√100) |
x ≤ x > |
100 μm 100 μm |
-90 |
B
Gating Var. |
T |
Qio factor | |
m |
0.5 |
a |
2(T-24)∕I0 |
h |
0.5 |
____________1____________ |
2(T-24)∕1O |
α+∕3 |
l+exp((∙υ+50)∕4) | ||
3×104ff |
l+0.5exp((υ÷58)∕2) | ||
l+α |
l+exp((υ÷58)∕2) | ||
«DR |
ou∕j !+ɑ |
1 | |
Ti |
4/3 |
1 |
5(T-24)∕10 |
, l,prox |
l + cι 'j∙6 ɪ l÷exp(0.2-υ∕22) |
]ʌɑ T+α | |
7⅛ist |
2/3 |
1 |
5(T-24)∕10 |
^dɪst |
υ∙^ ɪ l÷exp(0.2-v∕22) |
More intriguing information
1. Naïve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages2. Nach der Einführung von Arbeitslosengeld II: deutlich mehr Verlierer als Gewinner unter den Hilfeempfängern
3. Elicited bid functions in (a)symmetric first-price auctions
4. Should informal sector be subsidised?
5. The name is absent
6. The name is absent
7. The name is absent
8. The name is absent
9. Heterogeneity of Investors and Asset Pricing in a Risk-Value World
10. The Impact of Optimal Tariffs and Taxes on Agglomeration