Here we fulfill this aim by developing a novel decoding framework based on deep neural networks, named spike-image decoder (SID), for reconstructing natural ...
Apr 30, 2019 · Here we fulfill this aim by developing a novel decoding framework based on deep neural networks, named spike-image decoder (SID), for ...
Feb 19, 2020 · Here we fulfill this aim by developing a novel decoding framework based on deep neural networks, named spike-image decoder (SID), for ...
A deep learning neural network architecture that incorporates the biological properties of the visual system, such as receptive fields, to reconstruct ...
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May 2, 2023 · Gabor convolution neural network is a deep neural network ... Reconstruction of natural visual scenes from neural spikes with deep neural networks ...
May 2, 2023 · Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Netw. 125, 19–30. 10.1016/j.neunet.2020.01.033 ...
Jul 14, 2022 · Reconstruction of natural visual scenes from neural spikes with deep neural networks. ... scenes via convolutional recurrent neural networks ...
Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks ( IF 7.8 ) Pub Date : 2020-02-08 , DOI: 10.1016/j.
May 20, 2022 · Huang, and J. K. Liu, “Reconstruction of natural visual scenes from neural spikes with deep neural networks,” Neural Networks, vol. 125, pp ...
Sep 17, 2021 · Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks. 2020; 125: 19-30. View in Article.