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ZDB-FIG-221120-17
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Cho et al., 2021 - 3DM: deep decomposition and deconvolution microscopy for rapid neural activity imaging
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Fig. 2

Fig. 2. Neural networks for sparse decomposition and deconvolution. (a) Architecture of BEAR. The network takes the raw video Y and produces the low rank component L. The non-negative sparse component S is obtained as S=ReLU (YL). (b) Deconvolution network architecture. The deconvolved images are obtained by feeding the wide-field images to the network.

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