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| examples | seed_ based_ correlation | sphere _based _connectome | adhd _spheres | probabilistic_ atlas _extraction | signal _extraction | inverse _covariance _connectome | multi_ subject_ connecto…
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**Description:** I intend to work on implementing the MFCC for feature extraction from audio signals. The MFCC is a popular technique for extracting features from audio signals such as voice or music,…
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This is an request from the cneuromod team.
Currently we are using the MNI template to access overlap of grey matter with atlas, but it would be useful to extend this to subject native space
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**Is your feature request related to a problem? Please describe.**
The addition of this feature will solve all of my problems. I am playing Nomifactory right now and it is frustrating when I have to …
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Hello,
thank you for your feedback on feature extraction!
I have few more questions:
1. You mention that you use different signal length for different datasets, how did you estimate those values…
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The general issue is how to accomplish boxes 1 and 2 of the Spextool GUI. That is, the user generally selects which order to trace interactively by inspection the plot_profiles window. Often times t…
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When used for vibration signals, it always displays that the extraction of the STFT exceeds the array boundary. Is there any comment on this?
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Strategy now is focusing on unlocking research, tapping just enough to move ahead, and then circling back to scale up.
- [x] Iron processing
- [x] Automate Motors
- [x] Automate Encased beams
-…
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# pera
Automated extraction of prior information from signaling databases.
Pathway Extraction and Reduction Algorithm (PERA) was developed to automatically extract prior information from multiple s…
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From reading the sklearn design decisions paper:
- Transformers
- motion correction
- with scoring function if we can find good metrics
- high pass filtering
- any other arbitrary fun…