-
Notifications
You must be signed in to change notification settings - Fork 0
/
Schwartze_Figure5bdf_regress_results_StatsFinal.m
198 lines (161 loc) · 7.34 KB
/
Schwartze_Figure5bdf_regress_results_StatsFinal.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
%%
% Load data
clear variables
monkey = 'P';
load(['\\kumc.edu\data\Research\SOM RSCH\RouseLab\DataFiles\Project_Data\20160504_COT_precision\data_analyses\COT_Direction_Regress\' monkey '_regress_results_StatsFinal'])
All_day_index = cellfun(@(x) ones(size(x,3),1), signif_units, 'UniformOutput', false);
for d = 1:length(signif_units)
All_day_index{d} = d*ones(size(signif_units{d},3),1);
end
All_day_index = cat(1,All_day_index{:});
All_avg_speed_init = avg_speed_init(All_day_index);
All_avg_speed_cor = avg_speed_cor(All_day_index);
All_signif_units = squeeze(cat(3,signif_units{:}));
All_Coefficients_init = cat(2,best_Coefficients_init{:});
All_Coefficients_cor = cat(2,best_Coefficients_cor{:});
All_Coefficients_init1 = squeeze(cat(3,best_Coefficients_init1{:}));
All_Coefficients_init2 = squeeze(cat(3,best_Coefficients_init2{:}));
All_Coefficients_cor1 = squeeze(cat(3,best_Coefficients_cor1{:}));
All_Coefficients_cor2 = squeeze(cat(3,best_Coefficients_cor2{:}));
%Velocity regression coefficients depth of modulation
vel_Modulation_init = 2*sqrt(sum(All_Coefficients_init(4:5,:).^2,1));
vel_Modulation_cor = 2*sqrt(sum(All_Coefficients_cor(4:5,:).^2,1));
vel_Modulation_init1 = squeeze( 2*sqrt(sum(All_Coefficients_init1(4:5,:,:).^2,1)) );
vel_Modulation_init2 = squeeze( 2*sqrt(sum(All_Coefficients_init2(4:5,:,:).^2,1)) );
vel_Modulation_cor1 = squeeze( 2*sqrt(sum(All_Coefficients_cor1(4:5,:,:).^2,1)) );
vel_Modulation_cor2 = squeeze( 2*sqrt(sum(All_Coefficients_cor2(4:5,:,:).^2,1)) );
%Data regression coefficients depth of modulation
data_Modulation_init = 2*All_avg_speed_init.*vel_Modulation_init;
data_Modulation_cor = 2*All_avg_speed_cor.*vel_Modulation_cor;
%%
% Graphs
init_color = [0,0,0.7];
cor_color = [0.7,0,0];
% Calculate vel_mod correlation coefficient
[vel_mod_correlation_matrix,vmP,vmRL,vmRU] = corrcoef(vel_Modulation_init(All_signif_units), vel_Modulation_cor(All_signif_units));
vel_mod_correlation = vel_mod_correlation_matrix(1, 2);
disp(['Correlation init vs. corr speed modifed: ' num2str(vel_mod_correlation), ' 95% CI: ' num2str(vmRL(1,2)) '-' num2str(vmRU(1,2))])
%% Correlation init vs. corr speed modifed: 0.47165 95% CI: 0.4136-0.52588
figure
scatter(vel_Modulation_init(All_signif_units), vel_Modulation_cor(All_signif_units), 'MarkerEdgeColor', 'k')
hold on
line([0 45], [0 90], 'LineStyle', '--', 'Color', 'k')
line([0 90], [0 90], 'LineStyle', '--', 'Color', 'k')
line([0 90], [0 45], 'LineStyle', '--', 'Color', 'k')
xlim([-0.1,90])
ylim([-0.1,90])
text(75,32,'0.5x', 'FontSize', 12)
text(70,65,'1x', 'FontSize', 12)
text(39,75,'2x', 'FontSize', 12)
axis square
xlabel('Init. Depth of Mod. (Hz/Vel)', 'Color', init_color)
ylabel('Corr. Depth of Mod. (Hz/Vel)', 'Color', cor_color)
set(gca, 'FontSize', 14)
% set(gcf,'Position',[0 0 600 400]);
% title(['Monkey ' monkey])
% print(gcf, ['./Schwartze_Paper1/figure_graphics/' monkey '_figure5_Vel_DOM_p'], '-dpng')
% if monkey == 'P'
% fig2svg('./figure_graphics/figure5d.svg', gcf)
% elseif monkey == 'Q'
% fig2svg('./figure_graphics/figure5e.svg', gcf)
% end
figure
scatter(data_Modulation_init(All_signif_units), data_Modulation_cor(All_signif_units), 'MarkerEdgeColor', 'k')
hold on
line([0 150], [0 160], 'LineStyle', '--', 'Color', 'k')
xlim([-0.1,150])
ylim([-0.1,150])
axis square
xlabel('Init. FR Mod. (Hz)', 'Color', init_color)
ylabel('Corr. FR Mod. (Hz)', 'Color', cor_color)
set(gca, 'FontSize', 14)
% set(gcf,'Position',[0 0 600 400]);
% title(['Monkey ' monkey])
% print(gcf, ['./Schwartze_Paper1/figure_graphics/' monkey '_figure5_Dir_DOM_p'], '-dpng')
% if monkey == 'P'
% fig2svg('./figure_graphics/figure5b.svg', gcf)
% elseif monkey == 'Q'
% fig2svg('./figure_graphics/figure5c.svg', gcf)
% end
vel_mod_ratio = (vel_Modulation_cor(All_signif_units) ./ vel_Modulation_init(All_signif_units));
vel_mod_init_ratio = (vel_Modulation_init1(All_signif_units,:) ./ vel_Modulation_init2(All_signif_units,:));
vel_mod_cor_ratio = (vel_Modulation_cor1(All_signif_units,:) ./ vel_Modulation_cor2(All_signif_units,:));
med_vel_mod_ratio = median(vel_mod_ratio(:));
disp(['Median Cor-Init FR ratio: ' num2str(med_vel_mod_ratio)])
init_prctile = prctile(vel_mod_init_ratio(:),[25,75]);
disp(['Init 25-75% ratio: ' num2str(init_prctile)])
cor_prctile = prctile(vel_mod_cor_ratio(:),[25,75]);
disp(['Cor 25-75% ratio: ' num2str(cor_prctile)])
%Mann-Whitney U test.
[p,h,stats] = ranksum(vel_mod_init_ratio(:),vel_mod_ratio(:));
[p,h,stats] = ranksum(vel_mod_cor_ratio(:),vel_mod_ratio(:));
%%
%Bar Graph below
cutoffs = 2.^(-2:0.5:2); % [-Inf,0.25,0.5,.75,1,1.5,2,4,Inf]; %[-Inf,0.5,1,2,Inf]
ratio_counts = histcounts(vel_mod_ratio,cutoffs);
% figure
% bar(ratio_counts, 'k');
% set(gca, 'XTickLabel', {'<0.5x', '0.5-1x', '1-2x', '>2x'})
% ylabel('Spiking Unit Count')
% set(gca, 'FontSize', 16)
% xlabel('Corrective to Initial FR ratio')
% title(['Monkey ' monkey])
% fig2svg('./figure_graphics/figure5f.svg', gcf)
ratio_init_counts = histcounts(vel_mod_init_ratio(:),cutoffs);
ratio_init_counts = sum(ratio_counts).*ratio_init_counts./sum(ratio_init_counts);
% figure
% bar(ratio_init_counts, 'FaceColor', init_color);
ratio_cor_counts = histcounts(vel_mod_cor_ratio(:),cutoffs);
ratio_cor_counts = sum(ratio_counts).*ratio_cor_counts./sum(ratio_cor_counts);
% figure
% bar(ratio_counts, 'k');
% hold on
% plot(1:length(ratio_init_counts),ratio_init_counts,'Color', init_color)
% plot(1:length(ratio_cor_counts),ratio_cor_counts,'Color', cor_color)
% bar(ratio_cor_counts, 'FaceColor', cor_color);
% figure
% plot(cumsum(ratio_counts))
% hold on
% plot(cumsum(ratio_init_counts))
% plot(cumsum(ratio_cor_counts))
% figure
% scatter(log2(sort(vel_mod_ratio)), 1:length(vel_mod_ratio))
% hold on
% plot(cutoffs(2:end), cumsum(ratio_init_counts))
% plot(cutoffs(2:end), cumsum(ratio_cor_counts))
n_signif_units = length(vel_mod_ratio);
n_bootstrap = length(vel_mod_init_ratio(:));
figure
plot(log2(sort(vel_mod_init_ratio(:))), (1:n_bootstrap)./1000, 'Color', init_color, 'LineWidth', 3)
hold on
plot(log2(sort(vel_mod_cor_ratio(:))), (1:n_bootstrap)./1000, 'Color', cor_color, 'LineWidth', 3)
scatter(log2(sort(vel_mod_ratio)), 1:length(vel_mod_ratio), 'MarkerEdgeColor', 'k')
xlim([-2,2])
ylim([0,n_signif_units])
line([1,1]*log2(med_vel_mod_ratio), [0,n_signif_units/2], 'Color', 'k', 'LineWidth', 2.5)
line([0,0], [0,n_signif_units/2], 'Color', 'k', 'LineWidth', 1.5, 'LineStyle','--')
scatter(log2(med_vel_mod_ratio), n_signif_units/2, 80, 'MarkerEdgeColor', 'k', 'MarkerFaceColor', 'w')
scatter(0, n_signif_units/2, 80, 'MarkerEdgeColor', 'k', 'MarkerFaceColor', 'k')
if monkey == 'P'
text(log2(med_vel_mod_ratio)-0.1, -20, [num2str(med_vel_mod_ratio, '%1.2f'),'x'], 'FontSize', 14)
elseif monkey == 'Q'
text(log2(med_vel_mod_ratio)-0.1, -16, [num2str(med_vel_mod_ratio, '%1.2f'),'x'], 'FontSize', 14)
end
x_tick = -2:2;
x_tick_label = 2.^x_tick;
x_tick_label = {'0.25x', '0.5x', '1x', '2x', '4x'};
set(gca, 'XTick', x_tick)
set(gca, 'XTickLabel', x_tick_label)
xlabel('Corrective to Initial DOM ratio')
y_tick = linspace(0,n_signif_units,5);
y_tick_label = {'0', '25', '50', '75', '100'};
set(gca, 'YTick', y_tick)
set(gca, 'YTickLabel', y_tick_label)
ylabel('Percentile')
set(gca, 'FontSize', 14)
%fig2svg(['./figure_graphics/figure5f_' monkey '.svg'], gcf)
% if monkey == 'P'
% fig2svg('./figure_graphics/figure5f.svg', gcf)
% elseif monkey == 'Q'
% fig2svg('./figure_graphics/figure5g.svg', gcf)
% end