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Title | Blog | T. Anderson |
Description | Modeling Category-Selective Cortical Regions with Topographic The official Hydejack blog. Version updates, example content and how-to guides on how to blog with |
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US$738,894
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T. Anderson Keller Machine Learning PhD Student University of Amsterdam Navigation: About Me Research Social: Twitter GitHub Email Google Scholar LinkedIn Jump to: Navigation Modeling Category-Selective Cortical Regions with Topographic VAEs 23 October 2021 in Research Measurement of selectivity of top-layer neurons to images of Faces vs. images of Objects . The baseline pretrained Alexnet model (left) has randomly organized selectivity as expected. We see the Topographic VAE (middle) yeilds spatially dense clusters of neurons selective to images of faces, reminiscent of the ‘face patches’ observed in the primate cortex. The TVAE clusters are seen to be qualitatively similar to those produced by the supervised TDANN model of Lee et al. (2020) (right) without the need for class-labels during training. Continue reading Modeling Category-Selective Cortical Regions with Topographic VAEs Predictive Coding with Topographic VAEs 11 October 2021 in Research We introduce a modification of the |
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