Online: | |

Visits: | |

Stories: |

Story Views | |

Now: | |

Last Hour: | |

Last 24 Hours: | |

Total: |

Friday, September 30, 2016 3:48

% of readers think this story is Fact. Add your two cents.

Chapter 6 of Intermediate Physics for Medicine and Biology discusses nerve electrophysiology. In particular, Russ Hobbie and I derive the cable equation. This equation works great for a peripheral nerve with its single long cylindrical axon. In the brain, however, nerves end in branching networks of dendrites (see one of the famous drawings by Ramón y Cajal below). What equation describes the dendrites?

Wilfrid Rall answered this question by representing the dendrites as a branching network of fibers: the Rall model (Annals of the New York Academy of Sciences, Volume 96, Pages 1071-1092, 1962). Below I will rederive the Rall model using the notation of IPMB. But—as I know some of you do not enjoy mathematics as much as I do—let me first describe his result qualitatively. Rall found that as you move along the dendritic tree, the fiber radius *a* gets smaller and smaller, but the number of fibers *n* gets larger and larger. Under one special condition, when *na*^{3/2} is constant, the voltage along the dendrites obeys *THE SAME* cable equation that governs a single axon. This only works if distance is measured in length constants instead of millimeters, and time in time constants instead of milliseconds. Dendritic networks don't always have *na*^{3/2} constant, but it is not a bad approximation, and provides valuable insight into how dendrites behave.

But instead of me explaining Rall's goals, why not let Rall do so himself.

“In this paper, I propose to focus attention upon the branching dendritic trees that are characteristic of many neurons, and to consider the contribution such dendritic trees can be expected to make to the physiological properties of a whole neuron. More specifically, I shall present a mathematical theory relevant to the question: How does a neuron integrate various distributions of synaptic excitation and inhibition delivered to its soma-dendritic surface. A mathematical theory of such integration is needed to help fill a gap that exists between the mathematical theory of nerve membrane properties, on the one hand, and the mathematical theory of nerve nets and of populations of interacting neurons, on the other hand.”

I had the pleasure of knowing Rall when we both worked at the National Institutes of Health in the 1990s. He was trained as a physicist, and obtained his PhD from Yale. During World War II he worked on the Manhattan Project. He spent most of his career at NIH, and was a leader among scientists studying the theoretical electrophysiology of dendrites.

Rall receiving the Swartz Prize

Now the math. First, let me review the cable model for a single axon, and then we will generalize the result to a network. The current *i _{i}* along an axon is related to the potential

(Eq. 6.48 in IPMB). If the current changes along the axon, it must enter or leave through the membrane, resulting in an equation of continuity

(Eq. 6.49), where *g _{m}* is the membrane conductance per unit area and

The axon length constant is defined as

and the time constant as

so the cable equation becomes

If we measure distance and time using the dimensionless variables *X* = *x*/*λ* and *T* = *t*/*τ*, the cable equation simplifies further to

Now, let's see how Rall generalized this to a branching network. Instead of having one fiber, assume you have a variable number that depends on position along the network, *n*(*x*). Furthermore, assume the radius of each individual fiber varies, *a*(*x*). The cable equation can be derived as before, but because *r _{i}* now varies with position (

When I first looked at this equation, I thought “Aha! if *r _{i}* is independent of

In terms of the dimensionless variables *X* and *T*, the cable equation becomes

If *λ**r _{i}* is constant along the axon, the ugly new term vanishes and you have the traditional cable equation. If you go back to the definition of

If you want to learn more about Rall's work, read the book The Theoretical Foundation of Dendritic Function: Selected Papers of Wilfrid Rall with Commentaries, edited by Idan Segev, John Rinzel, and Gordon M. Shepherd. The forward, by Terrence J. Sejnowski, says

The exploration of the electrical properties of dendrites by Wilfrid Rall provided many key insights into the computational resources of the neurons. Many of the papers in this collection are classics: dendrodendritic interactions in the olfactory bulb; nonlinear synaptic integration in motoneuron dendrites; active currents in pyramidal neuron apical dendrites. In each of these studies, insights arose from a conceptual leap, astute simplifying assumptions, and rigorous analysis. Looking back, one is impressed with the foresight shown by Rall in his choice of problems, with the elegance of his methods in attacking them, and with the impact that his conclusions have had for our current thinking. These papers deserve careful reading and rereading, for there are additional lessons in each of them that will reward the careful reader….It would be difficult to imagine the field of computational neuroscience today without the conceptual framework established over the last thirty years by Wil Rall, and for this we all owe him a great debt of gratitude.

Source: http://hobbieroth.blogspot.com/2016/09/ralls-equivalent-cylinder.html