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08/23/2023
Characterising representation dynamics in recurrent neural networks for object recognition
Recurrent neural networks (RNNs) have yielded promising results for both...
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08/18/2023
End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions
Computational models are an essential tool for understanding the origin ...
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09/23/2022
Semantic scene descriptions as an objective of human vision
Interpreting the meaning of a visual scene requires not only identificat...
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11/15/2021
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization
Recurrent neural networks (RNNs) have been shown to perform better than ...
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06/11/2019
Learning robust visual representations using data augmentation invariance
Deep convolutional neural networks trained for image object categorizati...
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03/14/2019
