most citedReconstructed spatial receptive field structures by reverse correlation technique explains the visual feature selectivity of units in deep convolutional neural networks

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.SP2023

Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition

Ryohei Fukuma, Kei Majima, Yoshinobu Kawahara +4

Dynamic mode (DM) decomposition decomposes spatiotemporal signals into basic oscillatory components (DMs). DMs can improve the accuracy of neural decoding when used with the nonlin…

cs.NI2021★ 1 cited

Reconstructed spatial receptive field structures by reverse correlation technique explains the visual feature selectivity of units in deep convolutional neural networks

Yoshiyuki R Shiraishi, Hiromichi Sato, Takahisa M Sanada +1

An important issue in dealing with Deep Convolutional Neural Networks (DCNN) is the 'black box problem', which represents the unknowns about internal information representation and…