[Eeglablist] outputs for newcrossf

[Makoto Miyakoshi]

Dear Ana,

In the crosstimef help,

% coh = Matrix (nfreqs,timesout) of coherence magnitudes

Wikipedia says that magnitude is by definition length of a vector, so
the value must be scalar.

allcoher on the other hand is a raw phase measures before calculating
coherence between a paired channels/ICs, so it should be complex.

This makes sense to me. What do you think?

Makoto

2012/9/17 Ana Navarro Cebrian <sabato45 at hotmail.com>:
> Hi Makoto,
> coh(1,1)
> 0.2780
>
> for allcoher I get complex numbers (so I imagine I can obtain both,
> amplitude and phase from it?):
> allcoher(1,1,1)
> -1.0320e+05 +3.4039e+03i
>
> Thanks,
> Ana
>
>
>
>
>
>
>
>> From: mmiyakoshi at ucsd.edu
>> Date: Mon, 17 Sep 2012 18:45:06 -0700
>> Subject: Re: [Eeglablist] outputs for newcrossf
>> To: sabato45 at hotmail.com
>> CC: eeglablist at sccn.ucsd.edu
>
>>
>> Dear Ana,
>>
>> Could you tell me the first 2 or 3 values of coh/allcoher you get from
>> the calculation?
>>
>> Makoto
>>
>> 2012/9/16 Ana Navarro Cebrian <sabato45 at hotmail.com>:
>> > Hi everybody,
>> > I'm using newcrossf to calculate the coherence between two channels and
>> > it's
>> > not clear to me what exactly the outputs coh, cohangle and allcoher are.
>> > I'm trying to compute Phase Coherence ('type', phasecoher), but the
>> > output I
>> > obtain in coh (as well as allcoher) still seems to me to be referring to
>> > Amplitude and not Phase. Does anybody know if that's true? In the
>> > documentation they are explained as coherence amplitude and single trial
>> > coherence.
>> > On the other hand, I understand that the output cohangle gives me the
>> > values
>> > for phase coherence.
>> > Thank you,
>> > ana
>> >
>> >
>> >
>> >
>> >
>> >
>> >
>> >
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>>
>>
>> --
>> Makoto Miyakoshi
>> JSPS Postdoctral Fellow for Research Abroad
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego



-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego