how HTM can extract features (specific features)
Do you mean features in the traditional Machine Learning sense? E.g. creating an “age” feature derived from a date of birth?
yes, I mean the dynamic features not the static, HTM using windows techniques to extract features in time series, so how HTM could extract for example the duration, peak, spectral features … Maybe create a specific encoder for these locale features
I think I follow, but let me know if I misunderstand.
Nothing like this can be retrieved back from the HTM network after learning, it’s just weights that predict the next input.