this is for holding javascript data
Anton Chizhov edited untitled.tex
almost 8 years ago
Commit id: 6ca71b3b7b3ab3190ec0ced3cff0b1f87989cae0
deletions | additions
diff --git a/untitled.tex b/untitled.tex
index 1d9c892..7c6cfe8 100644
--- a/untitled.tex
+++ b/untitled.tex
...
\begin{equation} \label{e1}
\varphi_N (t)=\frac{p}{2\, \sigma \, r_{i} }
\bigl(V_d(t)-V_s(t)\bigr) +
\frac{p \, L}{2\, \sigma \, r_{i} } \left(\left(\frac{\tau ^{sp} I_{Na}^{\max } }{2} \, \nu
(t)\right)\, S^{soma} \right) k_1 \nu(t)
\end{equation}
where $V_s(t)$ and $V_d(t)$ are the somatic and dendritic neuronal membrane potentials; neurons are homogeneously distributed with
the density $p$ per area; $r_{i} $ is the specific intracellular resistivity; $\sigma $ is the mean conductivity of extracellular medium, assumed to be a
constant. constant; $\nu(t)$ is the firing rate; $k_1$ is a coefficient.
\subsection {Glial contribution into LFP}
The glial contribution into LFP, $\varphi_G(t)$, is proportial to the glial membrane currents of potassium ions, thus can be approximated as follows: