1. From: Central and peripheral vision for scene recognition: A neurocomputational modeling exploration
Journal of Vision. 2017;17(4):9. doi: /17.4.9
Figure Legend:
The network architecture of TM and TDM. (a) Shows the structure of one the two pathways in TDM; this network is used in Experiment 3.1. The network has seven layers, including five convolutional layers with filter size M × M and N (the number to the right of each layer) feature maps for each layer, and two fully connected (fc6 and output) layers. (b) Shows the architecture of TM. The input is preprocessed by Gabor filter banks and PCA before feeding into a two-layer neural network, and the output layer is modulated by the gating layer (Gate). (c) Shows the two-pathway TDM (used in Experiment 3.2) that models central and peripheral visual information processing. The two side-by-side pathways have identical structure, and converge at the output layer, with the weights between fc6 and the output layer modulated by the gating layer (Gate).
Date of download: 11/13/2017
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