BENG449 Problem 8 1

# BENG449 Problem 8 1 - 5:17 PM C\Documents and Settings\Alex...

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Unformatted text preview: 4/10/08 5:17 PM C:\Documents and Settings\Alex Lemon\My ...\BENG449 Problem 8 1.m 1 of 3 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Alex Lemon % % BENG 449 -- Biomedial Data Analysis % % Problem Set 7, Question 2 % % Due April 4th, 2008 % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % The differential equations describing the Hodgkin-Huxley model appear in % HHEquations.m. In particular, examine the effects of the following four % parameters: ggK, ggNa, a_n and a_m. For each variable, simulate the % membrane potential profile with the original value of the parameter, 50% % of that value and 200% of that value, keeping all other values constant. % Plot the three resulting curves on one graph. Discuss the effect of each % variable on the Hodgkin-Huxley simulation. clear t; % The original parameter values are: ggK = 36; ggNa = 120; ggL = 0.3; vK = -12; vNa = 115; vL = 10.6; Iapp = 0; Cm = 1; % Run the experiment for 20 seconds tspan = [0 20]; % Setup the experimental parameters trial_names{1} = ('ggK'); trial_names{2} = ('ggNa'); trial_names{3} = ('a_n'); trial_names{4} = ('a_m'); % param{2 * i - 1} is the beta vector for the ith trial % param{2 * i} is the weighting vecttor for the ith trial % Trial #1 (original parameters) param{1} = [ggK, ggNa, ggL, vK, vNa, vL, Iapp, Cm]; param{2} = [1, 1]; % Trial #2 (ggK -> 50%) param{3} = [0.5 * ggK, ggNa, ggL, vK, vNa, vL, Iapp, Cm]; param{4} = [1, 1]; % Trial #3 (ggK -> 200%) param{5} = [2.0 * ggK, ggNa, ggL, vK, vNa, vL, Iapp, Cm]; param{6} = [1, 1]; % Trial #4 (ggNa -> 50%) 4/10/08 5:17 PM...
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## This note was uploaded on 07/19/2008 for the course BENG 449 taught by Professor Richardcarson during the Spring '08 term at Yale.

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BENG449 Problem 8 1 - 5:17 PM C\Documents and Settings\Alex...

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