Neuron-Level Architecture Growth: A Controlled Evaluation for EEG Time-Series Decoding
The results suggest that growth helps when its criterion can rank the candidate neurons, and that the rate of skipped neuron addition tells where a decoder can be grown small from scratch.
Adam Mounir, Stella Douka, A. Caillet et al.
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