anesthesia_bats/Ephys data/Fig6B.m

% clasification of units per quadrand in d.d. plot
load('all_dd.mat');

aw_nav=y3(~isnan(y3(:,1)),1);
aw_com=y3(~isnan(y3(:,2)),2);
an_nav=y3(~isnan(y3(:,3)),3);
an_com=y3(~isnan(y3(:,4)),4);

n_aw=numel(aw_nav);
n_an=numel(an_nav);

class_an=nan(n_an,1);
for u=1:n_an
    if an_nav(u)>0 && an_com(u)>0      % first quadrant 
        class_an(u,1)=1;
    elseif an_nav(u)>0 && an_com(u)<=0  % second quadrant 
        class_an(u,1)=2;
    elseif an_nav(u)<=0 && an_com(u)>0  % forth quadrant 
        class_an(u,1)=4;
    elseif an_nav(u)<=0 && an_com(u)<=0  % third quadrant 
        class_an(u,1)=3;
    end
    
end

    
class_aw=nan(n_aw,1);
for u=1:n_aw
    if aw_nav(u)>0 && aw_com(u)>0      % first quadrant 
        class_aw(u,1)=1;
    elseif aw_nav(u)>0 && aw_com(u)<=0  % second quadrant 
        class_aw(u,1)=2;
    elseif aw_nav(u)<=0 && aw_com(u)>0  % forth quadrant 
        class_aw(u,1)=4;
    elseif aw_nav(u)<=0 && aw_com(u)<=0  % third quadrant 
        class_aw(u,1)=3;
    end
    
end

prop_aw=histcounts(class_aw)*100/n_aw;
prop_an=histcounts(class_an)*100/n_an;
y=[prop_aw; prop_an];
y=y';

%% plotting
red =[0.8500,0.3250, 0.0980];
blue=[0,0.4470,0.7410];

figure(1); set(gcf,'Position',[200 200 100 100])
b=bar(prop_aw);
b.EdgeColor=blue;
b.FaceColor=blue;
b.LineWidth =1.0;
b.FaceAlpha = 0.2;
b.BarWidth=0.75;
xlim([0.25 4.75])
ylabel('% units')
xticklabels({'I','II','III','IV'});

set(gca, 'box', 'off')
set(gca, 'Color','none')
set(gca,'linewidth',1);set(gca,'fontsize',8);



figure(2); set(gcf,'Position',[400 200 100 100])
b=bar(prop_an);
b.EdgeColor=red;
b.FaceColor=red;
b.LineWidth =1.0;
b.FaceAlpha = 0.2;
b.BarWidth=0.75;
xlim([0.25 4.75])
ylabel('% units')
xticklabels({'I','II','III','IV'});

set(gca, 'box', 'off')
set(gca, 'Color','none')
set(gca,'linewidth',1);set(gca,'fontsize',8);



%% save units # and their respective quadrant classification
% looking for the units #
load('all_data.mat')
eq_=all_di(:,2)==0;
aw_=all_di(:,3)==0;
an_=all_di(:,3)==1;
cell_aw=all_di(logical(eq_.*aw_),1);
cell_an=all_di(logical(eq_.*an_),1);

cell_aw=[cell_aw, class_aw];
load('pt_data.mat')
eq_=all_di(:,2)==0;
an_=all_di(:,3)==1;
cell_pt=all_di(logical(eq_.*an_),1);
cell_an=[cell_an; cell_pt];
cell_an=[cell_an, class_an];

mode_aw=mode(class_aw);
mode_an=mode(class_an);

cell_mode_aw=cell_aw(cell_aw(:,2)==mode_aw,1);  % spikes_cluster3/
cell_mode_an=cell_an(cell_an(:,2)==mode_an,1);  % spikes_cluster5/ and 6/ and 8/

save('cell_an.mat', 'cell_an')
save('cell_aw.mat', 'cell_aw')