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According to the meeting we just had, it's very common for more-neurosciency modellers to be looking at "balanced networks". We should relate the NEF to this analysis.
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**Is your feature request related to a problem? Please describe.**
In order complex simulations with large neural networks it is common practice to distribute python code across multiple files. Here …
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![](https://media.giphy.com/media/ziVStDLrzb3pK/giphy.gif)
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[Interpretable deep neural networks for single-trial EEG classification](https://www.sciencedirect.com/science/article/pii/S0165027016302333)
_Background_
In cognitive neuroscience the potential of …
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Do you have plan to import/export model from/to [ONNX](https://onnx.ai/) standard ??
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### Title
Building models that interpret neuroimaging data
### Leaders
Marmaduke Woodman
### Collaborators
*it's early days*
### Brainhack Global 2023 Event
Brainhack Marseille
…
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According to the study I have referenced down below, research has shown that keeping time and using a metronome utilize different parts of the brain; and using a metronome does not really improve timi…
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**[ ID ]** 48f178d6-d55e-4a4e-b7c0-56d704a4b939
**[ Submitter's Name ]** Matteo Menapace
**[ Submitter's Affiliated Organisation ]** Ravensbourne
**[ Space ]** digital
**[ Format ]** hands-on
### D…
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Hi There!
I'd like to better understand spectral convergence loss. In the literature, these are the mentions I have found so far:
> SC loss emphasizes highly on large spectral components, which …
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### Title
The BIDS connectivity project - current state and next steps of the BEPs
### Short description and the goals for the OHBM BrainHack
Besides `BIDS`' success, expansion, and description of …