comparison userProgramsTim/pitchModel_RM.m @ 38:c2204b18f4a2 tip

End nov big change
author Ray Meddis <rmeddis@essex.ac.uk>
date Mon, 28 Nov 2011 13:34:28 +0000
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37:771a643d5c29 38:c2204b18f4a2
1 function pitchModel_RM
2 % Modification of testMAP_14 to replicate the pitch model published
3 % in JASA 2006.
4 %
5 % test_MAP1_14 is a general purpose test routine that can be adjusted to
6 % test a number of different applications of MAP1_14
7 %
8 % A range of options are supplied in the early part of the program
9 %
10 % One use of the function is to create demonstrations; filenames <demoxx>
11 % to illustrate particular features
12 %
13 % #1
14 % Identify the file (in 'MAPparamsName') containing the model parameters
15 %
16 % #2
17 % Identify the kind of model required (in 'AN_spikesOrProbability').
18 % A full brainstem model (spikes) can be computed or a shorter model
19 % (probability) that computes only so far as the auditory nerve
20 %
21 % #3
22 % Choose between a tone signal or file input (in 'signalType')
23 %
24 % #4
25 % Set the signal rms level (in leveldBSPL)
26 %
27 % #5
28 % Identify the channels in terms of their best frequencies in the vector
29 % BFlist.
30 %
31 % Last minute changes to the parameters fetched earlier can be made using
32 % the cell array of strings 'paramChanges'.
33 % Each string must have the same format as the corresponding line in the
34 % file identified in 'MAPparamsName'
35 %
36 % When the demonstration is satisfactory, freeze it by renaming it <demoxx>
37
38 dbstop if error
39 restorePath=path;
40 addpath (['..' filesep 'MAP'], ['..' filesep 'wavFileStore'], ...
41 ['..' filesep 'utilities'])
42
43 % Pitch model modification here
44 global ICrate % used to collect rate profile from showMAP temporary
45 rates=[]; F0count=0;
46
47 % F0s=[150 200 250]; % fundamental frequency
48 % harmonics= 3:5;
49
50 % F0s=[3000]; % fundamental frequency
51 F0s=50:5:1000;
52 harmonics= 1;
53 % F0s=150;
54 for F0=F0s
55 F0count=F0count+1;
56
57
58 %% #1 parameter file name
59 MAPparamsName='Normal';
60
61
62 %% #2 probability (fast) or spikes (slow) representation
63 AN_spikesOrProbability='spikes';
64
65 % or
66 % NB probabilities are not corrected for refractory effects
67 % AN_spikesOrProbability='probability';
68
69
70 %% #3 pure tone, harmonic sequence or speech file input
71 signalType= 'tones';
72 sampleRate= 50000;
73 duration=0.50; % seconds
74 % toneFrequency= 1000; % or a pure tone (Hz8
75
76 % F0=210;
77 toneFrequency= F0*harmonics; % harmonic sequence (Hz)
78
79 rampDuration=.005; % raised cosine ramp (seconds)
80
81 % or
82
83 % signalType= 'file';
84 % fileName='twister_44kHz';
85
86
87 %% #4 rms level
88 % signal details
89 leveldBSPL= 50; % dB SPL
90
91
92 %% #5 number of channels in the model
93 % 21-channel model (log spacing)
94 numChannels=21;
95 lowestBF=250; highestBF= 8000;
96 BFlist=round(logspace(log10(lowestBF), log10(highestBF), numChannels));
97
98 % or specify your own channel BFs
99 % numChannels=1;
100 BFlist=toneFrequency;
101 % BFlist=500;
102
103
104 %% #6 change model parameters
105 paramChanges=[];
106
107 % or
108 % Parameter changes can be used to change one or more model parameters
109 % *after* the MAPparams file has been read
110 % This example declares only one fiber type with a calcium clearance time
111 % constant of 80e-6 s (HSR fiber) when the probability option is selected.
112
113 % paramChanges={'AN_IHCsynapseParams.ANspeedUpFactor=5;', ...
114 % 'IHCpreSynapseParams.tauCa=86e-6;'};
115
116 % paramChanges={'DRNLParams.rateToAttenuationFactorProb = 0;'};
117
118 % paramChanges={'IHCpreSynapseParams.tauCa=86e-6;',
119 % 'AN_IHCsynapseParams.numFibers= 1000;'};
120
121 % fixed MOC attenuation(using negative factor)
122 % paramChanges={'DRNLParams.rateToAttenuationFactorProb=-0.005;'};
123
124 % slow the CN chopping rate
125 % paramChanges={'IHCpreSynapseParams.tauCa= 70e-6;'...'
126 % 'MacGregorMultiParams.tauGk= [0.75e-3:.0001 : 3e-3];'...
127 % ' MacGregorParams.dendriteLPfreq=4000;'...
128 % 'MacGregorParams.tauGk= 1e-4;'...
129 % 'MacGregorParams.currentPerSpike=220e-8;'...
130 % };
131 paramChanges={...
132 'MacGregorMultiParams.currentPerSpike=25e-9;'...
133 'MacGregorMultiParams.tauGk= [0.1e-3:.00005 : 1e-3];'...
134 'MacGregorParams.currentPerSpike=40e-9;'...
135 };
136
137 %% delare 'showMap' options to control graphical output
138
139 showMapOptions.printModelParameters=0; % prints all parameters
140 showMapOptions.showModelOutput=1; % plot of all stages
141 showMapOptions.printFiringRates=1; % prints stage activity levels
142 showMapOptions.showACF=0; % shows SACF (probability only)
143 showMapOptions.showEfferent=0; % tracks of AR and MOC
144 showMapOptions.surfProbability=0; % 2D plot of HSR response
145 showMapOptions.surfSpikes=0; % 2D plot of spikes histogram
146 showMapOptions.ICrates=1; % IC rates by CNtauGk
147
148 % disable certain silly options
149 if strcmp(AN_spikesOrProbability, 'spikes')
150 % avoid nonsensical options
151 showMapOptions.surfProbability=0;
152 showMapOptions.showACF=0;
153 else
154 showMapOptions.surfSpikes=0;
155 end
156 if strcmp(signalType, 'file')
157 % needed for labeling plot
158 showMapOptions.fileName=fileName;
159 else
160 showMapOptions.fileName=[];
161 end
162
163 %% Generate stimuli
164
165 switch signalType
166 case 'tones'
167 inputSignal=createMultiTone(sampleRate, toneFrequency, ...
168 leveldBSPL, duration, rampDuration);
169
170 case 'file'
171 %% file input simple or mixed
172 [inputSignal sampleRate]=wavread(fileName);
173 dt=1/sampleRate;
174 inputSignal=inputSignal(:,1);
175 targetRMS=20e-6*10^(leveldBSPL/20);
176 rms=(mean(inputSignal.^2))^0.5;
177 amp=targetRMS/rms;
178 inputSignal=inputSignal*amp;
179 silence= zeros(1,round(0.1/dt));
180 inputSignal= [silence inputSignal' silence];
181 end
182
183
184 %% run the model
185 tic
186
187 fprintf('\n')
188 disp(['Signal duration= ' num2str(length(inputSignal)/sampleRate)])
189 disp([num2str(numChannels) ' channel model'])
190 disp([num2str(F0) ' F0'])
191 disp('Computing ...')
192
193 MAP1_14(inputSignal, sampleRate, BFlist, ...
194 MAPparamsName, AN_spikesOrProbability, paramChanges);
195
196
197 % the model run is now complete. Now display the results
198 UTIL_showMAP(showMapOptions, paramChanges)
199
200 %% pitch model Collect and analyse data
201 % ICrate is global and computed in showMAP
202 % a vector of 'stage4' rates; one value for each tauCNGk
203 rates=[rates; ICrate];
204 figure(92), imagesc(rates)
205 ylabel ('F0 no'), xlabel('tauGk')
206 % figure(92), plot(rates), ylim([0 inf])
207
208 h=figure(99); CNmovie(F0count)=getframe(h);
209 figure(91), plot(rates'),ylim([0 inf])
210 pause (0.1)
211 path(restorePath)
212
213 end
214 %% show results
215 toc
216 figure(91), plot(F0s,rates'), xlabel('F0'), ylabel('rate'),ylim([0 inf])
217 % figure(99),clf,movie(CNmovie,1,4)
218
219
220 function inputSignal=createMultiTone(sampleRate, toneFrequency, ...
221 leveldBSPL, duration, rampDuration)
222 % Create pure tone stimulus
223 dt=1/sampleRate; % seconds
224 time=dt: dt: duration;
225 inputSignal=sum(sin(2*pi*toneFrequency'*time), 1);
226 amp=10^(leveldBSPL/20)*28e-6; % converts to Pascals (peak)
227 inputSignal=amp*inputSignal;
228
229 % apply ramps
230 % catch rampTime error
231 if rampDuration>0.5*duration, rampDuration=duration/2; end
232 rampTime=dt:dt:rampDuration;
233 ramp=[0.5*(1+cos(2*pi*rampTime/(2*rampDuration)+pi)) ...
234 ones(1,length(time)-length(rampTime))];
235 inputSignal=inputSignal.*ramp;
236 ramp=fliplr(ramp);
237 inputSignal=inputSignal.*ramp;
238
239 % add 10 ms silence
240 silence= zeros(1,round(0.005/dt));
241 inputSignal= [silence inputSignal silence];
242