next up previous contents
Next: Second Messenger Cascades Up: Biophysical Substrate Previous: Kinetics of Two-State Channels

Transitions and Metastable States

Even at steady state, individual channels will make frequent transitions between open and closed states. The frequency of these transitions typically follows a bell-shaped curve of voltage, with the highest frequency of transitions typically occurring when the channel is balanced between open and closed states at $m_\infty(V) = 1/2$.

 The number of channel closings $f_C$ per unit time at equilibrium is simply the product of the closing rate $\beta(V)$ with the number of open channels given by $m_\infty(V)$:
\begin{align*}f_C= & \beta(V) \: m_\infty(V), \ \intertext{which a short compu... ...}^{1 \over 2} = r \left[ m_{\infty}(V) - {m_{\infty}(V)}^2 \right],\end{align*}
which peaks at $V = V_{1 \over 2}$ (centered at the inflection point of the S-shaped function $m_\infty(V)$), falling off to either side in the fashion of a bell-shaped curve as in fig. 12. At equilibrium, the average number $f_O$ of channel openings per unit time must equal the average number $f_C$ of channel closings.
 
 

Figure 12: The bell-shaped curve represents the number of channel openings (closings) at equilibrium, while the sigmoid represents the steady-state activation curve of the conductance, corresponding to the average fraction of channels in the open state. The bell-shaped curve is proportional to the square root of the sigmoid's derivative.
\begin{figure}\centerline{\includegraphics [width=10cm] {/home/stemmler/Latex/Ion_Figures/Fig8.ps}}\end{figure}
 

This general shape to the transition frequency is generic, regardless of the details of the kinetics, i.e., the form of $\alpha(V)$ and $\beta(V)$. If we make a different kinetic assumption, namely that the time constant associated with the ion channels is voltage-independent, then the frequency of channel closings becomes

\begin{displaymath}f_C = r/s \; {\left[ \displaystyle{d \over dV} m_{\infty}(V... ...ht]}^{1} = r \left[ m_{\infty}(V) - {m_{\infty}(V)}^2 \right].\end{displaymath}
If the neuron is spiking periodically, the voltage $V(t)$ will be periodic. The equilibrium mean rate of channel closings will be
\begin{displaymath}f_C = r \biggl\langle m(V) - {m(V)}^2 \biggr\rangle .\end{displaymath}

For the sake of argument, suppose the metastable state ${\text{C}}^\ast$ is subject to modification. If the dwell time in the state ${\text{C}}^\ast$is $\tau_{{\text{C}}^*}^{\phantom{2}}$, the ``concentration" of channels in this state at equilibrium is:

\begin{align*}[ {\text{C}}^*]& = f_C \; \tau_{{\text{C}}^*}^{\phantom{2}}\ &=... ...}(V) \right]}^{1 \over 2} \; \tau_{{\text{C}}^\ast}^{\phantom{2}}.\end{align*}
The rate of modification can thus depend on the frequency of channel closings or openings.


next up previous contents
Next: Second Messenger Cascades Up: Biophysical Substrate of Adaptation Previous: Kinetics of Two-State Ion Channels 
Martin Stemmler

3/7/1998