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CondTestResponse.jl
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CondTestResponse.jl
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using NeuroAnalysis,Statistics,DataFrames,StatsPlots,Mmap,Images,StatsBase,Interact
## Prepare Dataset
dataroot = "../Data"
dataexportroot = "../DataExport"
resultroot = "../Result"
stimuliroot = "../NaturalStimuli"
subject = "AF5";recordsession = "HLV1";recordsite = "ODL3";test = "HartleySubspace_3"
siteid = join(filter(!isempty,[subject,recordsession,recordsite]),"_")
datadir = joinpath(dataroot,subject,siteid)
resultsitedir = joinpath(resultroot,subject,siteid)
testid = join(filter(!isempty,[siteid,test]),"_")
resultdir = joinpath(resultsitedir,testid)
isdir(resultdir) || mkpath(resultdir)
dataset = prepare(joinpath(dataexportroot,subject,"$testid.mat"))
## Condition Test
ex = dataset["ex"];envparam = ex["EnvParam"];exparam = ex["Param"];preicidur = ex["PreICI"];conddur = ex["CondDur"];suficidur = ex["SufICI"]
spike = dataset["spike"]
eval.([:($(Symbol(k))=spike[$k]) for k in keys(spike)])
condon = ex["CondTest"]["CondOn"]
condoff = ex["CondTest"]["CondOff"]
condidx = ex["CondTest"]["CondIndex"]
minconddur=minimum(condoff-condon)
histogram(condoff-condon,nbins=20,title="Condition Duration(Set to $conddur)")
## Unit Position
ugs = map(i->i ? "Single-" : "Multi-",unitgood)
plotunitposition(spike,layer=layer)
foreach(i->savefig(joinpath(resultdir,"Unit_Position$i")),[".png",".svg"])
# Unit Spike Trian segments for all condtests
epochext = preicidur
@manipulate for u in 1:length(unitspike)
ys,ns,ws,is = subrv(unitspike[u],condon.-epochext,condoff.+epochext,isminzero=true,shift=epochext)
plotspiketrain(ys,timeline=[0,minconddur],title="Unit_$(unitid[u])")
end
for u in 1:length(unitspike)
ys,ns,ws,is = subrv(unitspike[u],condon.-epochext,condoff.+epochext,isminzero=true,shift=epochext)
plotspiketrain(ys,timeline=[0,minconddur],title="$(ugs[u])Unit_$(unitid[u])")
foreach(i->savefig(joinpath(resultdir,"$(ugs[u])Unit_$(unitid[u])_SpikeTrian$i")),[".png",".svg"])
end
## Prepare Conditions
ctc = condtestcond(ex["CondTestCond"])
cond = condin(ctc)
factors = finalfactor(ctc)
# for color test
factors = [:HueAngle]
blank = (:Color,36)
# for orisf test
# blank = (:SpatialFreq,0)
# for hartley test
# blank = (:Ori_Final,NaN)
ci = ctc[!,blank[1]].!==blank[2]
cctc = ctc[ci,factors]
ccond = condin(cctc)
ccondon=condon[ci]
ccondoff=condoff[ci]
ccondidx = condidx[ci]
bi = .!ci
bctc = ctc[bi,factors]
bcondon=condon[bi]
bcondoff=condoff[bi]
bcondidx = condidx[bi]
isblank = !isempty(bcondon)
## Condition Response
responsedelay=15
@manipulate for u in 1:length(unitspike)
rs = subrvr(unitspike[u],ccondon.+responsedelay,ccondoff.+responsedelay)
plotcondresponse(rs,cctc)
end
ubr=[];uresponsive=[];umodulative=[]
for u in 1:length(unitspike)
rs = subrvr(unitspike[u],ccondon.+responsedelay,ccondoff.+responsedelay)
basers = subrvr(unitspike[u],ccondon.+(responsedelay-preicidur),ccondon.+responsedelay)
push!(uresponsive,isresponsive(basers,rs,ccond.i))
push!(umodulative,ismodulative([DataFrame(Y=rs) cctc]))
if isblank
br = subrvr(unitspike[u],bcondon.+responsedelay,bcondoff.+responsedelay)
mseuc = condresponse(br,condin(bctc))
push!(ubr,(m=mseuc[1,:m],se=mseuc[1,:se]))
end
# plotcondresponse(rs,cctc)
# foreach(i->savefig(joinpath(resultdir,"Unit_$(unitid[u])_CondResponse$i")),[".png",".svg"])
end
## Condition Response in Factor Space
fms,fses,fa=factorresponse(unitspike,cctc,ccondon,ccondoff,responsedelay=responsedelay)
@manipulate for u in 1:length(fms), f in collect(keys(fa))
p = Any[Tuple(argmax(coalesce.(fms[u],-Inf)))...]
fd = findfirst(f.==keys(fa))
fdn = length(fa[f])
p[fd]=1:fdn
mseuc=DataFrame(m=fms[u][p...],se=fses[u][p...],u=fill(unitid[u],fdn))
mseuc[f]=fa[f]
plotcondresponse(dropmissing(mseuc),colors=[:black],responseline=ubr[u:u])
end
ufs = Dict(k=>[] for k in keys(fa));optconds=[]
for u in 1:length(fms)
oi = Any[Tuple(argmax(coalesce.(fms[u],-Inf)))...]
push!(optconds, Dict(map((f,i)->f=>fa[f][i],keys(fa),oi)))
for f in keys(fa)
fd = findfirst(f.==keys(fa))
fdn = length(fa[f])
fi = copy(oi)
fi[fd]=1:fdn
mseuc=DataFrame(m=fms[u][fi...],se=fses[u][fi...],u=fill(unitid[u],fdn),ug=fill("$(ugs[u][1])U",fdn))
mseuc[!,f]=fa[f]
push!(ufs[f],factorresponsestats(mseuc[!,f],mseuc[!,:m],factor=f))
if false
proj = f in [:Ori,:Ori_Final,:HueAngle] ? :polar : :cartesian
blmseuc=DataFrame(m=blfms[u][fi...],se=blfses[u][fi...],u=fill(-unitid[u],fdn),ug=fill("$(ugs[u][1])UBaseline",fdn))
blmseuc[!,f]=fa[f]
mseuc = [mseuc;blmseuc]
plotcondresponse(dropmissing(mseuc),colors=[:gray40,:navyblue],projection=proj,responseline=isblank ? ubr[u:u] : [])
foreach(i->savefig(joinpath(resultdir,"$(ugs[u])Unit_$(unitid[u])_$(f)_Tuning$i")),[".png",".svg"])
end
end
end
save(joinpath(resultdir,"factorresponse.jld2"),"factorstats",ufs,"fms",fms,"fses",fses,"fa",fa,"responsive",uresponsive,"modulative",umodulative)
## Tuning map
vi = uresponsive.&umodulative.&unitgood
colorspace = ex["Param"]["ColorSpace"]
hues = ex["Param"]["Color"]
# for orisf test
title = "UnitPosition_OptimalOriDirSF"
p=plotunitpositionproperty(unitposition[vi,:],title=title,ori=map(i->i.oo,ufs[:Ori_Final][vi]),os=map(i->1-i.ocv,ufs[:Ori_Final][vi]),
dir = map(i->i.od,ufs[:Ori_Final][vi]),ds=map(i->1-i.dcv,ufs[:Ori_Final][vi]),sf=map(i->i.osf,ufs[:SpatialFreq][vi]),layer=layer)
save("testup.svg",p)
pfactor=intersect([:Ori,:Ori_Final],keys(ufs))
oos = map(i->i.oo,ufs[:Ori_Final][vi])
oos = [oos;oos.+180]
ys,ns,ws,is = histrv(oos,0,360,nbins=20)
oa = deg2rad.(mean.([ws;ws[1]]))
oh = [ns;ns[1]]./2
ys,ns,ws,is = histrv(map(i->i.od,ufs[:Ori_Final][vi]),0,360,nbins=20)
da = deg2rad.(mean.([ws;ws[1]]))
dh = [ns;ns[1]]
title = "$(colorspace)_$(hues)_OptOriDir_Distribution"
plot([oa da],[oh dh],title=title,projection=:polar,linewidth=2,label=["Ori" "Dir"])
title = "UnitPosition_OptimalOri"
plotunitposition(unitposition,color=map((i,j)->j ? HSV(i.oo,1-i.ocv/2,1) : RGBA(0.5,0.5,0.5,0.1),ufs[:Ori_Final],vi),title=title)
foreach(i->savefig(joinpath(resultdir,"$title$i")),[".png",".svg"])
title = "UnitPosition_OptimalDir"
plotunitposition(unitposition,color=map((i,j)->j ? HSV(i.od,1-i.dcv/2,1) : RGBA(0.5,0.5,0.5,0.1),ufs[:Ori_Final],vi),title=title)
foreach(i->savefig(joinpath(resultdir,"UnitPosition_DirTuning$i")),[".png",".svg"])
plotunitposition(unitposition,color=map((i,j)->j ? HSV(i.oh,1-i.hcv,1) : HSVA(0,0,0.5,0.2),ufs[:ColorID],umodulative))
foreach(i->savefig(joinpath(resultdir,"UnitPosition_HueTuning$i")),[".png",".svg"])
@df DataFrame(ufs[:Ori]) corrplot([:oo :od :ocv :dcv],nbins=30)
# for color test
colorspace = ex["Param"]["ColorSpace"]
hues = ex["Param"]["Color"]
title = "UnitPosition_$(colorspace)_$(hues)_OptimalHue"
ha = ccond[!,:HueAngle]
hac = map(i->cond[findfirst(cond[!,:HueAngle].==i),:Color],ha)
plotunitposition(unitposition[vi,:],color=map(i->RGBA(clamp.(cond[findclosestangle(deg2rad(i.oh),deg2rad.(cond[!,:HueAngle])),:Color],0,1)...),ufs[:HueAngle][vi]),
markersize=map(i->(1-i.hcv)*5+2,ufs[:HueAngle][vi]),layer=layer,title=title)
foreach(i->savefig(joinpath(resultdir,"$title$i")),[".png",".svg"])
ys,ns,ws,is = histrv(map(i->i.oh,ufs[:HueAngle][vi]),0,360,nbins=10)
title = "$(colorspace)_$(hues)_OptimalHue_Distribution"
plot(deg2rad.(mean.(ws)),ns,title=title,projection=:polar)
foreach(i->savefig(joinpath(resultdir,"$title$i")),[".png",".svg"])
## Prepare Images
nscale = 2
downsample =2
sigma =1.5
bgcolor = RGBA(getparam(envparam,"BGColor")...)
masktype = getparam(envparam,"MaskType")
maskradius = getparam(envparam,"MaskRadius")
masksigma = getparam(envparam,"Sigma")
diameter = 5 #getparam(envparam,"Diameter")
imagesetname = splitext(splitdir(ex["CondPath"])[2])[1] * "_diameter[$diameter]"
imageset = map(i->GrayA.(grating(ori=deg2rad(i.Ori),sf=i.SpatialFreq,phase=i.SpatialPhase,size=diameter)),eachrow(DataFrame(ex["Cond"])))
imageset = Dict{Symbol,Any}(:pyramid => map(i->gaussian_pyramid(i, nscale-1, downsample, sigma),imageset))
imageset[:size] = map(i->size(i),imageset[:pyramid][1])
bgcolor = oftype(imageset[:pyramid][1][1][1],bgcolor)
unmaskindex = map(i->alphamask(i,radius=maskradius,sigma=masksigma,masktype=masktype)[2],imageset[:pyramid][1])
imagestimuli = map(s->map(i->alphablend.(alphamask(i[s],radius=maskradius,sigma=masksigma,masktype=masktype)[1],[bgcolor]),imageset[:pyramid]),1:nscale)
@manipulate for i in 1:length(imageset[:pyramid]),s in 1:length(imagestimuli)
imagestimuli[s][i]
end
scaleindex=1
ucci = unique(ccondidx)
uccii = map(i->findall(ccondidx.==i),ucci)
imagesize = imageset[:size][scaleindex]
xi = unmaskindex[scaleindex]
x = Array{Float64}(undef,length(ucci),length(xi))
foreach(i->x[i,:]=gray.(imagestimuli[scaleindex][ucci[i]][xi]),1:size(x,1))
@manipulate for u in 1:length(unitspike), d in 0:20:40
y = subrvr(unitspike[u],ccondon.+d,ccondoff.+d,israte=false)
y = map(i->sum(y[i]),uccii)
plotsta(sta(x,y),imagesize[imagescale],delay=d)
end
u=155
d=30
y = subrvr(unitspike[u],ccondon.+d,ccondoff.+d,israte=false)
y = map(i->sum(y[i]),uccii)
r = sta(x,y)
p=plotsta(r,imagesize=imagesize,size=diameter,index=xi,title = "$(ugs[u])Unit_$(unitid[u])_STA_$(d)")
save("statest.png",p)
save("statest.svg",p)
for u in 1:length(unitspike), d in 0.04:0.01:0.12
_,y,_,_ = subrv(unitspike[u],ccondon.+d,ccondoff.+d,israte=false)
plotsta(sta(x,y),imagesize,delay=d)
foreach(i->savefig(joinpath(resultdir,"Unit$(unitid[u])_STA_$d$i")),[".png",".svg"])
end
om=[(1,0.5),(-1,0.5),(-1,-0.5),(1,-0.5)]
polygon = om
scatter(rand(10),rand(10),marker=(Shape(polygon),10,:red))