Jeffrey S Bowers
Affiliations: | Harvard University, Cambridge, MA, United States |
Area:
memoryWebsite:
https://jeffbowers.blogs.bristol.ac.uk/Google:
"Jeffrey Bowers"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Daniel Schacter | grad student | Harvard | |
| Daniel Nathan Bub | post-doc | Montreal Neurological Institute |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Bowers JS, Malhotra G, Dujmović M, et al. (2023) Clarifying status of DNNs as models of human vision. The Behavioral and Brain Sciences. 46: e415 |
| Malhotra G, Dujmović M, Hummel J, et al. (2023) Human shape representations are not an emergent property of learning to classify objects. Journal of Experimental Psychology. General |
| Adolfi F, Bowers JS, Poeppel D. (2023) Successes and critical failures of neural networks in capturing human-like speech recognition. Neural Networks : the Official Journal of the International Neural Network Society. 162: 199-211 |
| Tsvetkov C, Malhotra G, Evans BD, et al. (2023) The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data. Neural Networks : the Official Journal of the International Neural Network Society. 161: 515-524 |
| Bowers JS, Malhotra G, Dujmović M, et al. (2022) Deep Problems with Neural Network Models of Human Vision. The Behavioral and Brain Sciences. 1-74 |
| Puebla G, Bowers JS. (2022) Can deep convolutional neural networks support relational reasoning in the same-different task? Journal of Vision. 22: 11 |
| Malhotra G, Dujmović M, Bowers JS. (2022) Feature blindness: A challenge for understanding and modelling visual object recognition. Plos Computational Biology. 18: e1009572 |
| Biscione V, Bowers JS. (2022) Learning online visual invariances for novel objects via supervised and self-supervised training. Neural Networks : the Official Journal of the International Neural Network Society. 150: 222-236 |
| Evans BD, Malhotra G, Bowers JS. (2021) Biological convolutions improve DNN robustness to noise and generalisation. Neural Networks : the Official Journal of the International Neural Network Society. 148: 96-110 |
| Blything R, Biscione V, Vankov II, et al. (2021) The human visual system and CNNs can both support robust online translation tolerance following extreme displacements. Journal of Vision. 21: 9 |