Make convolve_hrf in fmrisim more sensitive to issues about downsampling

Currently convolve_hrf simply downsamples the event time-course to give event weights for each volume acquisition. However, this means that for very brief events (less than the duration of an acquisition) then this event will be ignored. This behavior may or (most likely) may not be desired but currently there is little explanation of this. Possible solutions include downsampling after the convolution (but this increases computational demands) or taking the event value the mean of each acquisition epoch.

@CameronTEllis

@CameronTEllis, if you document the behavior we can downgrade this issue from bug to enhancement.

@CameronTEllis

@CameronTEllis, are you on this?

I believe I resolved this issue with my most recent pull request

…

On Mon, Dec 11, 2017 at 1:11 PM, Mihai Capotă ***@***.***> wrote: @CameronTEllis <https://github.com/camerontellis>, are you on this? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#301 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AKf6H52TnI_k0HFJlPynqBbjqcrloT5Iks5s_XBGgaJpZM4Qiklf> .

-- *Thank you,* *Cameron Ellis* *PhD Candidate (Turk-Browne lab) Department of Psychology Princeton University Peretsman-Scully Hall, Room 321 Princeton, NJ 08544 p: 609.258.7493*

@CameronTEllis

@CameronTEllis, if this issues was fixed by PR #309, please close it.

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Make convolve_hrf in fmrisim more sensitive to issues about downsampling #301

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Make convolve_hrf in fmrisim more sensitive to issues about downsampling #301

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mihaic commented on Nov 17, 2017

mihaic commented on Dec 11, 2017

CameronTEllis commented on Dec 11, 2017

mihaic commented on Jan 16, 2018

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