activity
20192021
most citedAn end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing

11 citations · 29 across the 8 of their papers we have counts for

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cs.NE2019

Deep learning research landscape & roadmap in a nutshell: past, present and future -- Towards deep cortical learning

Aras R. Dargazany

The past, present and future of deep learning is presented in this work. Given this landscape & roadmap, we predict that deep cortical learning will be the convergence of deep lear…

cs.NE2019★ 2 cited

Iterative temporal differencing with random synaptic feedback weights support error backpropagation for deep learning

Aras R. Dargazany

This work shows that a differentiable activation function is not necessary any more for error backpropagation. The derivative of the activation function can be replaced by an itera…