Publications

Valerio Biscione and Jeffrey S. Bowers (2020).  Learning Translation Invariance in CNNs. 2nd Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM), NeurIPS 2020.

Jeff Mitchell & Jeffrey S. Bowers (2020). Priorless Recurrent Networks Learn Curiously. In the Proceedings of the 28th International Conference on Computational Linguistics.

Ryan Blything, Valerio Biscione, Ivan I. Vankov, Casimir J.H. Ludwig, Jeffrey S. Bowers (2020). Extreme on-line translation tolerance in human and machine object recognition.

Marin DujmovićGaurav MalhotraJeffrey S. Bowers, (2020).  What do Adversarial Images Tell us about Human Vision? .
https://doi.org/10.7554/eLife.55978 

Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers, (2020) Adding Biological Constraints to Deep Neural Networks Reduces their Capacity to Learn Unstructured Data.  In Proceedings of the 42nd Annual Conference of the Cognitive Science Society 2020, Toronto, Canada.

Ella Gale, Nick D. Martin, Ryan Blything, Anh Tung Nguyen, Jeffrey S. Bowers, (2020) Are there any ‘Object Detectors’ in the Hidden Layers of CNNs Trained to Identify Objects or Scenes? Vision Research, 176, 60-71.
https://doi.org/10.1016/j.visres.2020.06.007

Jeff Mitchell and Jeffrey S. Bowers, (2020). Harnessing the Symmetry of Convolutions for Systematic Generalisation, In Proceedings of the 2020 International Joint Conference on Neural Networks, Glasgow, UK.

Gaurav Malhotra, Benjamin Evans and Jeffrey S. Bowers, (2020). Hiding a Plane with a Pixel: Examining Shape-bias in CNNs and the Benefit of Building in Biological Constraints, Vision Research, 174, 57-68. Special Issue on `What do Deep Neural Networks Tell us about Biological Vision’.
https://doi.org/10.1016/j.visres.2020.04.013

Ivan Vankov and Jeffrey S. Bowers (2019). Training Neural Networks to Encode Symbols enables Combinatorial Generalization. Philosophical Transactions of the Royal Society.
https://doi.org/10.1098/rstb.2019.0309

Ryan Blything, Ivan I. Vankov, Casimir J. Ludwig and Jeffrey S. Bowers, (2019).  Extreme Translation Tolerance in Humans and Machines.  In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.
https://doi.org/10.32470/CCN.2019.1091-0

Ryan Blything, Ivan I. Vankov, Casimir J. Ludwig and Jeffrey S. Bowers, (2019). Translation Tolerance in Vision. In A.K. Goel, C.M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society 2019, Montreal, Canada.

Milton Llera Montero, Gaurav Malhotra, Jeffrey S. Bowers and Rui Ponte Costa, (2019).  Subtractive Gating Improves Generalization in Working Memory Tasks. In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.
https://doi.org/10.32470/CCN.2019.1352-0

Jeff Mitchell, Nina Kazanina, Conor Houghton and Jeffrey S. Bowers, (2019). Do LSTMs Know about Principle C? In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.
https://doi.org/10.32470/CCN.2019.1241-0

Ella M. Gale, Ryan Blything, Nick D. Martin, Jeffrey S. Bowers, and Anh Nguyen, (2019).  Selectivity Metrics Provide Misleading Estimates of the Selectivity of Single Units in Neural Networks. In A.K. Goel, C.M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society 2019, Montreal, Canada.

Gaurav Malhotra and Jeffrey S. Bowers, (2019).  The Contrasting Roles of Shape in Human Vision and Convolutional Neural Networks. In A.K. Goel, C.M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society 2019, Montreal, Canada.

Marin Dujmović, Gaurav Malhotra and Jeffrey S. Bowers, (2019).  Humans Cannot Decipher Adversarial Images: Revisiting Zhou and Firestone. In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.
https://doi.org/10.32470/CCN.2019.1298-0

Gaurav Malhotra, Benjamin Evans and Jeff S. Bowers, (2019).  Adding Biological Constraints to CNNs Makes Image Classification more Human-Like and Robust. In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.
https://doi.org/10.32470/CCN.2019.1212-0

Jeffrey S. Bowers, Nick D. Martin and Ella M. Gale, (2019). Researchers Keep Rejecting Grandmother Cells after Running the Wrong Experiments: The Issue Is How Familiar Stimuli Are Identified. BioEssays, 2019, 41(8), 1800248.
https://doi.org/10.1002/bies.201800248