[i]Originally posted by Aditya Jayashankar:[/i][quote]Hello,
I was just wondering if the sliding windows employed in the latest versions of CONN follow,
a) a simple block nature, taking the entire chuck of the time series, OR
b) a similar type to the sliding windows with sigmoid edges (described by Dr. Calhoun), and used in dynamic functional connectivity analysis by Allen et al (2013)
I have tried to visualize the two types I have mentioned, and attached the image (Apologies for my drawing!).
I would just like to clarify this, to understand how the sliding window separation is done in the SETUP.
Thank you,
Aditya[/quote]
[color=#000000]Hi,[/color]
[color=#000000]If anyone could please tell me the type of window function used in CONN 17f during the SETUP, when you run temporal decomposition into sliding windows, it would really helpful.[/color]
[color=#000000]I am confused whether CONN uses a simple rectangular filter, or a convolved rectangular and Gaussian (Allen et al, 2014), or a special type of tapering window (Tukey or Planck).[/color]
[color=#000000]Thank you,[/color]
[color=#000000]Aditya[/color]
I was just wondering if the sliding windows employed in the latest versions of CONN follow,
a) a simple block nature, taking the entire chuck of the time series, OR
b) a similar type to the sliding windows with sigmoid edges (described by Dr. Calhoun), and used in dynamic functional connectivity analysis by Allen et al (2013)
I have tried to visualize the two types I have mentioned, and attached the image (Apologies for my drawing!).
I would just like to clarify this, to understand how the sliding window separation is done in the SETUP.
Thank you,
Aditya[/quote]
[color=#000000]Hi,[/color]
[color=#000000]If anyone could please tell me the type of window function used in CONN 17f during the SETUP, when you run temporal decomposition into sliding windows, it would really helpful.[/color]
[color=#000000]I am confused whether CONN uses a simple rectangular filter, or a convolved rectangular and Gaussian (Allen et al, 2014), or a special type of tapering window (Tukey or Planck).[/color]
[color=#000000]Thank you,[/color]
[color=#000000]Aditya[/color]