Multimodal deep neural decoding reveals highly resolved spatiotemporal profile of visual object representation in humans

Stratification of tumour cell radiation response and metabolic signatures visualization with Raman spectroscopy and explainable convolutional neural network

“…To address this limitation, we use the individual gradients as the importance weights w ik c for every single spatial location i in the feature maps and calculate the Grad-CAM variable/wavenumber classification importance over the input spectrum by performing an element-wise multiplication of the feature map activations with their corresponding weights followed by a summation of the weighted maps, as previously proposed by other authors. 20,39,[43][44][45]47,48 The output sum is upsampled to the input size via interpolation 29 to obtain an importance value for each wavenumber in the spectrum. 4.…”