-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathoscwave_propmdl_4.m
493 lines (369 loc) · 12 KB
/
oscwave_propmdl_4.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
%% PROPMDL >> phase & freq corr OK. >> diff models with WP
clear all;clc;
close all;
fs = 1000;
Ts = 1/fs;
% ======= make stim =======
stim = zeros(100,1)';
% [200, 200, 200, 200, 200*6, 220]
% [200, 200, 300, 600, 250]
ioilist = [120, 110, 120, 200, 150];
for i = 1:length(ioilist)
ons = zeros(ioilist(i),1)';
ons(1) = 2;
stim = [stim ons];
end
fig = figure;
set(fig,'Position', [1001 965 1085 374]);
% subplot(3,1,1)
% hold on;
% EK_xAxisMarker(find(stim>0), [0 0 1]);
% W = .9;
% WP = 1;
weightlist = [0 .6 1];
for i = 1:3
% ======= init params =======
theta = 0;
mdl_freq = 6; % fs/samples << initial freq
freq = mdl_freq;
mdl_ioi = fs/mdl_freq;
W = 0;
WP = weightlist(i);
ons = 1;
k = 1;
t = Ts;
wave = [];
freqk = [];
thetak = [];
stimsamp = [];
while 1
if stim(k) > 0 % if you see a stimulus (sound)
if ons == 1 % if it is the first one you saw
% use your freq & phase values
% because there isn't any interval yet. Just one sound.
ioi = NaN;
else % if it is the second or more , entrain...
ioi = k - stimsamp(ons-1);
prev_theta = thetak(k-1);
% -------------- update wave frequency (W) --------------
stim_freq = fs/ioi;
freqnew = (mdl_freq + (stim_freq - mdl_freq) * W); % avg freq
% disp(['freq was ' num2str(freq) ' --> ' num2str(freqnew)]);
% -------------- set required theta to match phase to prev --------------
set_theta = mod(prev_theta - t*2*pi*(freqnew - freq),2*pi);
reset_theta = mod(2*pi*(1 - t*freqnew), 0);
% -------------- update wave theta (WP) --------------
thetanew = (set_theta + (reset_theta - set_theta) * WP); % weighted theta correction
% thetanew = circ_mean([set_theta reset_theta], [WP (1-WP)]);
% -------------- assign updated values
freq = freqnew;
theta = thetanew; % all theta is mod(theta)
end % if first stim sound or not
% -------------- save interval info --------------
stimsamp(ons) = k;
ons = ons+1;
end
% -------------- save timepoint info --------------
thetak(k) = theta;
freqk(k) = freq;
% make 2 poss wave PHASEs >> circmean that
wave(k) = cos(mod(t*(2*pi*freq),2*pi)+theta);%cos(t*(2*pi*freq)+theta);
% increase time
t = t+Ts;
if k == length(stim)
break
end
k = k+1;
end
subplot(3,1,i)
plot(wave, 'linewidth', 1.2, 'color', 'm'); hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
EK_plotlabels('time', 'wave', ['W-freq = ' num2str(W) ', W-theta = ' num2str(WP)], 18);
end
%% clean & change if stim or not
clear all;clc;
close all;
fs = 1000;
Ts = 1/fs;
% ======= make stim =======
stim = zeros(100,1)';
% [200, 200, 200, 200, 200*6, 220]
% [200, 200, 300, 600, 250]
ioilist = [120, 110, 120, 200, 150];
for i = 1:length(ioilist)
ons = zeros(ioilist(i),1)';
ons(1) = 2;
stim = [stim ons];
end
fig = figure;
set(fig,'Position', [1001 965 1085 374]);
% W = .9;
% WP = 1;
weightlist = [0 .6 1];
for i = 1:3
% ======= init params =======
theta = 0;
mdl_freq = 5; % fs/samples << initial freq
freq = mdl_freq;
mdl_ioi = fs/mdl_freq;
W = 1;
WP = weightlist(i);
ons = 1;
k = 1;
t = Ts;
wave = [];
freqk = [];
thetak = [];
stimsamp = [];
radvalk = [];
while 1
if stim(k) > 0 % if you see a stimulus (sound)
if ons == 1 % if it is the first one you saw
% use your freq & phase values
% because there isn't any interval yet. Just one sound.
ioi = NaN;
else % if it is the second or more , entrain...
ioi = k - stimsamp(ons-1);
prev_theta = thetak(k-1);
% -------------- update wave frequency (W) --------------
stim_freq = fs/ioi;
freqnew = (mdl_freq + (stim_freq - mdl_freq) * W); % avg freq
% disp(['freq was ' num2str(freq) ' --> ' num2str(freqnew)]);
% -------------- set required theta to match phase to prev --------------
set_theta = prev_theta - t*2*pi*(freqnew - freq);
% set_theta = radvalk(k-1) - t*2*pi*freq;
reset_theta = 2*pi*(1 - t*freqnew);
% -------------- update wave theta (WP) --------------
thetanew = (set_theta + (reset_theta - set_theta) * WP); % weighted theta correction
% -------------- assign updated values
freq = freqnew;
theta = thetanew;
end % if first stim sound or not
% -------------- save interval info --------------
stimsamp(ons) = k;
ons = ons+1;
end
% -------------- save timepoint info --------------
thetak(k) = theta;
freqk(k) = freq;
wave(k) = cos(t*(2*pi*freq)+theta);
radvalk(k) = t*(2*pi*freq)+theta;
% increase time
t = t+Ts;
if k == length(stim)
break
end
k = k+1;
end
subplot(3,1,i)
plot(wave, 'linewidth', 1.2, 'color', 'm'); hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
EK_plotlabels('time', 'wave', ['W-freq = ' num2str(W) ', W-theta = ' num2str(WP)], 18);
end
%
% subplot(3,1,1)
% plot(wave, 'linewidth', 1.2, 'color', 'm'); hold on;
% EK_xAxisMarker(find(stim>0), [0 0 1]);
% EK_plotlabels('time', 'wave', ['period correction weight = ' num2str(W) ', phase correction weight = ' num2str(WP)], 18);
%
%
% subplot(3,1,2)
% hold on;
% EK_xAxisMarker(find(stim>0), [0 0 1]);
% plot(freqk, 'linewidth', 2, 'color', 'g');
% EK_plotlabels('time', 'model frequency', '',18);
%
% subplot(3,1,3)
% hold on;
% EK_xAxisMarker(find(stim>0), [0 0 1]);
% plot(radvalk, 'linewidth', 2, 'color', 'g');
% yline(0, '--k')
% EK_plotlabels('time', 'model radval', '',18);
%% NO phase reset, but entr decay (W decays)
clear all;clc;
close all;
fs = 1000;
Ts = 1/fs;
% ======= make stim =======
stim = zeros(200,1)';
ioilist = [100, 100, 100, 100, 100*6];% [200, 200, 300, 600, 250];
for i = 1:length(ioilist)
x = zeros(ioilist(i),1)';
x(1) = 2;
stim = [stim x];
end
% ======= init params =======
theta = 0;
mdl_freq = 4; % fs/samples << initial freq
freq = mdl_freq;
mdl_ioi = fs/mdl_freq;
W = 0;
W_init = 1;
% WP = .5;
tbl = table();
ons = 1;
k = 1;
t = Ts;
wave = [];
freqk = [];
thetak = [];
W_time = [];
W_decaycons = .01;
onslistk = [];
while 1
if stim(k) > 0 % if you see a stimulus (sound)
% check onsets & find stim frequency
if ons > 1 % if it is first onset, do nothing
ioi = k - onslistk(ons-1);
% maximize entrainment weight
W = W_init;
end
% save interval & onset info
onslistk(ons) = k;
ons = ons+1;
end
if k == 1
prev_theta = theta;
else
prev_theta = thetak(k-1);
end
if W > 0
% -------------- update wave frequency --------------
freqnew = fs/(mdl_ioi + (ioi - mdl_ioi) * W); % avg ioi
% -------------- set required theta to match phase to prev --------------
set_theta = prev_theta - t*2*pi*(freqnew - freq);
% -------------- assign updated values
freq = freqnew;
theta = set_theta;
% -------------- entr decay --------------
W = W - W * W_decaycons;
end
% -------------- save timepoint info --------------
W_time(k) = W;
thetak(k) = theta;
freqk(k) = freq;
wave(k) = cos(mod(t*(2*pi*freq),2*pi)+mod(theta,2*pi));% cos(t*(2*pi*freq)+theta);
% -------------- plot wave generated up to now --------------
% plot(wave, 'linewidth', 1.2, 'color', 'm');
% increase time
t = t+Ts;
if k == length(stim)
break
end
k = k+1;
end
fig = figure;
set(fig,'Position', [ 1001 965 1085 374]);
sgtitle({['Model freq = ' num2str(mdl_freq)],...
['W exponential decay (W = W - W * ' num2str(W_decaycons) ')'] }, 'fontsize', 18);
subplot(3,1,1) % stim
hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
plot(wave, 'linewidth', 2, 'color', 'm');
EK_plotlabels('time', 'cos()', 'wave',18);
subplot(3,1,2) % freqs
hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
plot(freqk, 'linewidth', 2, 'color', 'g');
EK_plotlabels('time', 'frequency', 'model frequency',18);
subplot(3,1,3) % W
hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
plot(W_time, 'linewidth', 2, 'color', 'g');
yline(0, '--k')
EK_plotlabels('time', 'W', 'freq correction weight',18);
%% entr decay ++
clear all;clc;
close all;
fs = 1000;
Ts = 1/fs;
% ======= make stim =======
stim = zeros(200,1)';
ioilist = [100, 100, 100, 100, 100*6,100];% [200, 200, 300, 600, 250];
for i = 1:length(ioilist)
x = zeros(ioilist(i),1)';
x(1) = 2;
stim = [stim x];
end
% ======= init params =======
theta = 0;
mdl_freq = 4; % fs/samples << initial freq
freq = mdl_freq;
% mdl_ioi = fs/mdl_freq;
W = 0;
W_init = 1;
% WP = .5;
tbl = table();
ons = 1;
k = 1;
t = Ts;
wave = [];
freqk = [];
thetak = [];
W_time = [];
W_decaycons = .01;
onslistk = [];
while 1
if stim(k) > 0 % if you see a stimulus (sound)
% check onsets & find stim frequency
if ons > 1 % if it is first onset, do nothing
ioi = k - onslistk(ons-1);
% maximize entrainment weight
W = W_init;
end
% save interval & onset info
onslistk(ons) = k;
ons = ons+1;
end
if k == 1 % first sample
prev_theta = theta;
else
prev_theta = thetak(k-1);
end
if W > 0
% -------------- update wave frequency --------------
% freqnew = fs/(mdl_ioi + (ioi - mdl_ioi) * W); % avg ioi
stim_freq = fs/ioi;
freqnew = (mdl_freq + (stim_freq - mdl_freq) * W);
% -------------- set required theta to match phase to prev --------------
set_theta = prev_theta - t*2*pi*(freqnew - freq);
% -------------- assign updated values
freq = freqnew;
theta = set_theta;
% -------------- entr decay --------------
W = W - W * W_decaycons;
end
% -------------- save timepoint info --------------
W_time(k) = W;
thetak(k) = theta;
freqk(k) = freq;
wave(k) = cos(mod(t*(2*pi*freq),2*pi)+mod(theta,2*pi));% cos(t*(2*pi*freq)+theta);
% -------------- plot wave generated up to now --------------
% plot(wave, 'linewidth', 1.2, 'color', 'm');
% increase time
t = t+Ts;
if k == length(stim)
break
end
k = k+1;
end
fig = figure;
set(fig,'Position', [ 1001 965 1085 374]);
sgtitle({['Model freq = ' num2str(mdl_freq)],...
['W exponential decay (W = W - W * ' num2str(W_decaycons) ')'] }, 'fontsize', 18);
subplot(3,1,1) % stim
hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
plot(wave, 'linewidth', 2, 'color', 'm');
EK_plotlabels('time', 'cos()', 'wave',18);
subplot(3,1,2) % freqs
hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
plot(freqk, 'linewidth', 2, 'color', 'g');
EK_plotlabels('time', 'frequency', 'model frequency',18);
subplot(3,1,3) % W
hold on;
EK_xAxisMarker(find(stim>0), [0 0 1]);
plot(W_time, 'linewidth', 2, 'color', 'g');
yline(0, '--k')
EK_plotlabels('time', 'W', 'freq correction weight',18);