The name is absent



IOO

branching patterns, such as Purkinje neurons (Stuart et al., 2008). However, cells such
as pyramidal neurons with branching patterns that are organized into two distinct
dendritic tufts are better suited for success with the reduced strong-weak model.

Here I derive the strong-weak model and its reduction, and I demonstrate that it
improves upon the spike-capturing accuracy of the reduced model that uses only the
POD and DEIM techniques. First I begin with the derivation for a uniform fiber in
order to more clearly show the changes that occur, and then I generalize the derivation
to apply to any morphology.

4.1 Constructing the Strong-Weak Model

I begin with the simplest morphology, a uniform fiber of radius a and length £.
Using an ion channel model that yields weakly excitable distal dendrites (see Table
B.3), we identify the
transition location xτ on the fiber at which we say the voltage
behavior transitions from strong (active) to weak (quasi-active). The method to
identify æʃ is to be determined, but once we have it we can partition the fiber into
two separate fibers, one strong (from
x = 0 to x = xτ) and one weak (from x = xγ
to x = £), which join at the point xγ, as shown in Figure 4.1.

The absolute voltages of each fiber will be denoted Vs and Vw, while the voltages
with respect to rest will be denoted
vs and vw. Similarly, Vp and υτ will denote the



More intriguing information

1. The name is absent
2. SAEA EDITOR'S REPORT, FEBRUARY 1988
3. The name is absent
4. 03-01 "Read My Lips: More New Tax Cuts - The Distributional Impacts of Repealing Dividend Taxation"
5. The name is absent
6. The Role of area-yield crop insurance program face to the Mid-term Review of Common Agricultural Policy
7. Notes on an Endogenous Growth Model with two Capital Stocks II: The Stochastic Case
8. The name is absent
9. Large-N and Large-T Properties of Panel Data Estimators and the Hausman Test
10. The name is absent