>> plotit >> whos Name Size Bytes Class dv30 12x1 96 double array dv300 12x1 96 double array v 13x1 104 double array Grand total is 37 elements using 296 bytes >> v(end) = []; >> plot(v,dv30,'b') >> hold on >> hold onplot(v,dv30,'b'),'b')plot(v,dv300,'b') >> plot(v,dv300,'b')')')plot(v,dv300,'r') >> plot(v,dv300,'r')plot(v,dv300,'b')hold on plot(v,dv30,'b')v(end) = []; whos plotit%-- 2:24 PM 4/04/02 --%plotit plotit >> v(end) = [];v(end) = []; >> plotitplot(v,dv300,'r'),'r'),'r'),'r'),'r')')')plot(v,dv300_500,'m') >> plot(v,dv300_500,'m'),'m'),'m'),'m'),'m'),'m')plot(v,dv300_500-0.12,'m') >> what M-files in the current directory /home/spike/users/mikilon/Rosh/mikilon/Caltech/Neuron/Noise/Kamran/Demo activation_curves plotit diary >> activation_curves tha = 20 qa = 9 Ra = 0.0200 Rb = 0.0020 o = Columns 1 through 13 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 14 through 26 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 27 through 39 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 40 through 52 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 53 through 65 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 66 through 78 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 79 through 91 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 92 through 104 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 105 through 117 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 118 through 130 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 131 through 143 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 144 through 156 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 157 through 169 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 170 through 182 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 183 through 195 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 196 through 208 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 209 through 221 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 222 through 234 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 235 through 247 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 248 through 260 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 261 through 273 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 274 through 286 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 287 through 299 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 300 through 312 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 313 through 325 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 326 through 338 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 339 through 351 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 352 through 364 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 365 through 377 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 378 through 390 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 391 through 403 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 404 through 416 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 417 through 429 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 430 through 442 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 443 through 455 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 456 through 468 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 469 through 481 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 482 through 494 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 495 through 507 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 508 through 520 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 521 through 533 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 534 through 546 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 547 through 559 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 560 through 572 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 573 through 585 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 586 through 598 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 599 through 611 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 612 through 624 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 625 through 637 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 638 through 650 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 651 through 663 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 664 through 676 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 677 through 689 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 690 through 702 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 703 through 715 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 716 through 728 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 729 through 741 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 742 through 754 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 755 through 767 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 768 through 780 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 781 through 793 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 794 through 806 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 807 through 819 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 820 through 832 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 833 through 845 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 846 through 858 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 859 through 871 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 872 through 884 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 885 through 897 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 898 through 910 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 911 through 923 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 924 through 936 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 937 through 949 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 950 through 962 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 963 through 975 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 976 through 988 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 989 through 1001 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1002 through 1014 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1015 through 1027 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1028 through 1040 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1041 through 1053 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1054 through 1066 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1067 through 1079 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1080 through 1092 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1093 through 1105 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1106 through 1118 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1119 through 1131 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1132 through 1144 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1145 through 1157 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1158 through 1170 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1171 through 1183 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1184 through 1196 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1197 through 1209 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1210 through 1222 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1223 through 1235 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1236 through 1248 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1249 through 1261 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1262 through 1274 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1275 through 1287 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1288 through 1300 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1301 through 1313 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1314 through 1326 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1327 through 1339 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1340 through 1352 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1353 through 1365 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1366 through 1378 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1379 through 1391 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1392 through 1404 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1405 through 1417 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1418 through 1430 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1431 through 1443 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1444 through 1456 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1457 through 1469 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1470 through 1482 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1483 through 1495 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1496 through 1501 1 1 1 1 1 1 >> whos Name Size Bytes Class Ra 1x1 8 double array Rb 1x1 8 double array a 1x1501 12008 double array b 1x1501 12008 double array dv30 12x1 96 double array dv300 12x1 96 double array dv300_500 12x1 96 double array o 1x1501 12008 double array qa 1x1 8 double array tha 1x1 8 double array v 1x1501 12008 double array x 1x1501 12008 double array Grand total is 7545 elements using 60360 bytes >> /(a+b))plot(v,a./(a+b)) >> close all >> close allplot(v,a./(a+b))plot(v,a./(a+b)) >> type activation_curves tha = 20 % (mV) : v 1/2 for inf qa = 9 Ra = 0.02 % (/ms) : max act rate Rb = 0.002 % Rb = 0.002 (/ms) : max deact rate v = -90:0.1:60; o = ones(size(v)) x = v-tha; a = Ra * (x ./ (1 - exp(-x/qa))); b = -Rb * (v - tha) ./ (1 - exp((v - tha)/qa)); plot(v,a,'r') hold on plot(v,b) >> clf >> clftype activation_curvesplot(v,a./(a+b)) close all plot(v,a./(a+b))whos activation_curvesactivation_curves tha = 20 qa = 9 Ra = 0.0200 Rb = 0.0020 o = Columns 1 through 13 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 14 through 26 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 27 through 39 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 40 through 52 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 53 through 65 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 66 through 78 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 79 through 91 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 92 through 104 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 105 through 117 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 118 through 130 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 131 through 143 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 144 through 156 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 157 through 169 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 170 through 182 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 183 through 195 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 196 through 208 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 209 through 221 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 222 through 234 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 235 through 247 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 248 through 260 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 261 through 273 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 274 through 286 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 287 through 299 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 300 through 312 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 313 through 325 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 326 through 338 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 339 through 351 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 352 through 364 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 365 through 377 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 378 through 390 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 391 through 403 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 404 through 416 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 417 through 429 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 430 through 442 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 443 through 455 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 456 through 468 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 469 through 481 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 482 through 494 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 495 through 507 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 508 through 520 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 521 through 533 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 534 through 546 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 547 through 559 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 560 through 572 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 573 through 585 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 586 through 598 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 599 through 611 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 612 through 624 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 625 through 637 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 638 through 650 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 651 through 663 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 664 through 676 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 677 through 689 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 690 through 702 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 703 through 715 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 716 through 728 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 729 through 741 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 742 through 754 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 755 through 767 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 768 through 780 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 781 through 793 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 794 through 806 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 807 through 819 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 820 through 832 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 833 through 845 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 846 through 858 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 859 through 871 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 872 through 884 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 885 through 897 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 898 through 910 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 911 through 923 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 924 through 936 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 937 through 949 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 950 through 962 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 963 through 975 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 976 through 988 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 989 through 1001 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1002 through 1014 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1015 through 1027 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1028 through 1040 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1041 through 1053 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1054 through 1066 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1067 through 1079 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1080 through 1092 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1093 through 1105 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1106 through 1118 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1119 through 1131 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1132 through 1144 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1145 through 1157 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1158 through 1170 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1171 through 1183 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1184 through 1196 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1197 through 1209 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1210 through 1222 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1223 through 1235 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1236 through 1248 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1249 through 1261 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1262 through 1274 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1275 through 1287 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1288 through 1300 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1301 through 1313 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1314 through 1326 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1327 through 1339 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1340 through 1352 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1353 through 1365 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1366 through 1378 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1379 through 1391 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1392 through 1404 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1405 through 1417 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1418 through 1430 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1431 through 1443 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1444 through 1456 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1457 through 1469 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1470 through 1482 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1483 through 1495 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 1496 through 1501 1 1 1 1 1 1 >> activation_curvesclf type activation_curvesplot(v,a./(a+b)) ./(a+b))./(a+b))plot(v,1./(a+b)) >> clf >> close all >> quit