[Eeglablist] clean_rawdata

[Tyler Grummett]

Thank you to both of you.

The function is awesome, it's really good at getting rid of eye blinks. Is that by design? Or a very convenient coincidence? Haha

Thanks again.

Tyler

Sent from my iPhone

On 2 Oct 2014, at 7:40 am, Makoto Miyakoshi <mmiyakoshi at ucsd.edu<mailto:mmiyakoshi at ucsd.edu>> wrote:

Thanks Christian.

Makoto

On Wed, Oct 1, 2014 at 2:56 PM, Christian Kothe <christiankothe at gmail.com<mailto:christiankothe at gmail.com>> wrote:
Hi Tyler and Makoto,

yes this is a zero-phase and non-causal FIR filter. Note that you can disable it and perform your own drift correction if you are concerned about any issues with information flow analysis.

Best,
Christian

On Tue, Sep 30, 2014 at 7:03 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu<mailto:mmiyakoshi at ucsd.edu>> wrote:
Dear Tyler and Christian,

Theoretically yes, as it most likely uses zero-phase non-causal filter i.e. a spike like a needle will be decomposed into a triangle, the left half of which is 'information from the future'. Tim recommends slope fit and subtract solution he supports in SIFT (that's for high-pass; for low-pass, use cleanline).

Christian, is clean_rawdata high-pass filter zero-phase and non-causal? Or was it zero-phase and causal?

Makoto

On Tue, Sep 30, 2014 at 5:37 AM, Tyler Grummett <tyler.grummett at flinders.edu.au<mailto:tyler.grummett at flinders.edu.au>> wrote:
Hello eeglabers, specifically makoto,

I was just wondering if you used the 'initial high pass filter' in the function clean_rawdata, would it interupt connectivity analyses?

Tyler

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--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego




--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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