2-level HGF implementation

[a-yur]

Is an implementation of a 2-level version of the binary HGF available in TAPAS? From what I understand, the existing implementation of the tapas_hgf_binary in TAPAS requires to have at least three levels.

We plan to model a stimulus sequence with a 2-level HGF and then use the trial-by-trial estimates as parametric modulators, similar to Stefanics et al. (2019, NeuroImage).

[chmathys]

You can get a 2-level binary HGF by fixing the parameter kappa_2 to zero (i.e., to -Inf in logit-space). That cuts off the third level from any information, effectively removing it. You should also fix the third-level parameters mu_3^(0) and omega_3 to (arbitrary) values in order to prevent the optimization algorithm from trying to estimate them.

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On Tuesday, 13 February 2024 at 2:32 PM, a-yur ***@***.***> wrote: Is an implementation of a 2-level version of the binary HGF available in TAPAS? From what I understand, the existing implementation of the tapas_hgf_binary in TAPAS requires to have at least three levels. We plan to model a stimulus sequence with a 2-level HGF and then use the trial-by-trial estimates as parametric modulators, similar to Stefanics et al. (2019, NeuroImage). — Reply to this email directly, [view it on GitHub](#260), or [unsubscribe](https://github.com/notifications/unsubscribe-auth/AEXIN7PJRBFYZSG3SS2L7E3YTNTP5AVCNFSM6AAAAABDGQT3I2VHI2DSMVQWIX3LMV43ASLTON2WKOZSGEZTEMZTGQZDANY). You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>