The Morris–Lecar model is a biological neuron model developed by Catherine Morris and Harold Lecar to reproduce the variety of oscillatory behavior in relation to Ca++ and K+ conductance in the muscle fiber of the giant barnacle . Morris–Lecar neurons exhibit both class I and class II neuron excitability.
Catherine Morris (b. 24 December 1949) is a Canadian biologist. She won a Commonwealth scholarship to study at Cambridge University, where she earned her PhD in 1977. She became a professor at the University of Ottawa in the early 1980s. As of 2015, she is an emeritus professor at the University of Ottawa. Harold Lecar (18 October 1935 – 4 February 2014) was an American professor of biophysics and neurobiology at the University of California Berkeley. He graduated with his PhD in physics from Columbia University in 1963.
Large specimens of the barnacle Balanus nubilus (Pacific Bio-Marine Laboratories Inc., Venice, California) were used. The barnacle was sawed into lateral halves, and the depressor scutorum rostralis muscles were carefully exposed. Individual fibers were dissected, the incision starting from the tendon. The other end of the muscle was cut close to its attachment on the shell and ligatured. Isolated fibers were either used immediately or kept for up to 30 min in standard artificial seawater (ASW; see below) before use. Experiments were carried out at room temperature of 22 C.
The principal assumptions underlying the Morris–Lecar model
Among the principal assumptions are these:
- Equations apply to a spatially iso-potential patch of membrane. There are two persistent (non-inactivating) voltage-gated currents with oppositively biased reversal potentials. The depolarizing current is carried by Na+ or Ca2+ ions (or both), depending on the system to be modeled, and the hyperpolarizing current is carried by K+.
- Activation gates follow changes in membrane potential sufficiently rapidly that the activating conductance can instantaneously relax to its steady-state value at any voltage.
- The dynamics of the recovery variable can be approximated by a first-order linear differential equation for the probability of channel opening.
Qualitatively, this system of equations describes the complex relationship between membrane potential and the activation of ion channels within the membrane: the potential depends on the activity of the ion channels, and the activity of the ion channels depends on the voltage. As bifurcation parameters are altered, different classes of neuron behavior are exhibited. τN is associated with the relative time scales of the firing dynamics, which varies broadly from cell to cell and exhibits significant temperature dependency.
Note that the Mss and Nss equations may also be expressed as Mss = (1 + exp[−2(V − V1) / V2])−1 and Nss = (1 + exp[−2(V − V3) / V4])−1, however most authors prefer the form using the hyperbolic functions.
- V : membrane potential
- N : recovery variable: the probability that the K+ channel is conducting
Parameters and constants
- I : applied current
- C : membrane capacitance
- gL, gCa, gK : leak, Ca++, and K+ conductances through membranes channel
- VL, VCa, VK : equilibrium potential of relevant ion channels
- V1, V2, V3, V4: tuning parameters for steady state and time constant
- φ: reference frequency
- Computational neuroscience
- Biological neuron model
- Hodgkin–Huxley model
- FitzHugh–Nagumo model
- Neural oscillations
- Nonlinear dynamics
- Quantitative models of the action potential
- Morris, Catherine; Lecar, Harold (July 1981), "Voltage Oscillations in the barnacle giant muscle fiber", Biophys. J., 35 (1): 193–213, doi:10.1016/S0006-3495(81)84782-0, PMC 1327511, PMID 7260316
- Keynes, RD; Rojas, E; Taylor, RE; Vergara, J (March 1973), "Calcium and potassium systems of a giant barnacle muscle fibre under membrane potential control", The Journal of Physiology, 229: 409–455, PMC 1350315, PMID 4724831
- This assumption is never exactly true, since channel proteins are composed of subunits, which must act in concert, to reach the open state. Despite missing delays in the onset of recovery, the model appears to be adequate for phase-plane considerations for many excitable systems.Lecar, Harold (2007), "Morris–Lecar model", Scholarpedia, 2 (10): 1333, doi:10.4249/scholarpedia.1333
- Tsumoto, Kunichika; Kitajimab, Hiroyuki; Yoshinagac, Tetsuya; Aiharad, Kazuyuki; Kawakamif, Hiroshi (January 2006), "Bifurcations in Morris–Lecar neuron model" (PDF), Neurocomputing (in English and Japanese), 69 (4–6): 293–316, doi:10.1016/j.neucom.2005.03.006