Jeffrey S Bowers - Publications

Affiliations: 
Harvard University, Cambridge, MA, United States 
Area:
memory
Website:
https://jeffbowers.blogs.bristol.ac.uk/

18 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Bowers JS, Malhotra G, Dujmović M, Montero ML, Tsvetkov C, Biscione V, Puebla G, Adolfi F, Hummel JE, Heaton RF, Evans BD, Mitchell J, Blything R. Clarifying status of DNNs as models of human vision. The Behavioral and Brain Sciences. 46: e415. PMID 38054298 DOI: 10.1017/S0140525X23002777  0.324
2023 Malhotra G, Dujmović M, Hummel J, Bowers JS. Human shape representations are not an emergent property of learning to classify objects. Journal of Experimental Psychology. General. PMID 37695326 DOI: 10.1037/xge0001440  0.443
2023 Adolfi F, Bowers JS, Poeppel D. 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. PMID 36913820 DOI: 10.1016/j.neunet.2023.02.032  0.396
2023 Tsvetkov C, Malhotra G, Evans BD, Bowers JS. 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. PMID 36805266 DOI: 10.1016/j.neunet.2023.01.011  0.465
2022 Bowers JS, Malhotra G, Dujmović M, Montero ML, Tsvetkov C, Biscione V, Puebla G, Adolfi F, Hummel JE, Heaton RF, Evans BD, Mitchell J, Blything R. Deep Problems with Neural Network Models of Human Vision. The Behavioral and Brain Sciences. 1-74. PMID 36453586 DOI: 10.1017/S0140525X22002813  0.496
2022 Puebla G, Bowers JS. Can deep convolutional neural networks support relational reasoning in the same-different task? Journal of Vision. 22: 11. PMID 36094524 DOI: 10.1167/jov.22.10.11  0.497
2022 Malhotra G, Dujmović M, Bowers JS. Feature blindness: A challenge for understanding and modelling visual object recognition. Plos Computational Biology. 18: e1009572. PMID 35560155 DOI: 10.1371/journal.pcbi.1009572  0.356
2022 Biscione V, Bowers JS. 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. PMID 35334437 DOI: 10.1016/j.neunet.2022.02.017  0.378
2021 Evans BD, Malhotra G, Bowers JS. Biological convolutions improve DNN robustness to noise and generalisation. Neural Networks : the Official Journal of the International Neural Network Society. 148: 96-110. PMID 35114495 DOI: 10.1016/j.neunet.2021.12.005  0.48
2021 Blything R, Biscione V, Vankov II, Ludwig CJH, Bowers JS. The human visual system and CNNs can both support robust online translation tolerance following extreme displacements. Journal of Vision. 21: 9. PMID 33620380 DOI: 10.1167/jov.21.2.9  0.382
2020 Dujmović M, Malhotra G, Bowers JS. What do adversarial images tell us about human vision? Elife. 9. PMID 32876562 DOI: 10.7554/eLife.55978  0.434
2020 Gale EM, Martin N, Blything R, Nguyen A, Bowers JS. Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes? Vision Research. 176: 60-71. PMID 32781347 DOI: 10.1016/J.Visres.2020.06.007  0.327
2020 Vankov II, Bowers JS. Training neural networks to encode symbols enables combinatorial generalization. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 375: 20190309. PMID 31840580 DOI: 10.1098/rstb.2019.0309  0.425
2017 Bowers JS. Parallel Distributed Processing Theory in the Age of Deep Networks. Trends in Cognitive Sciences. 21: 950-961. PMID 29100738 DOI: 10.1016/j.tics.2017.09.013  0.345
2016 Bowers JS, Vankov II, Ludwig CJ. The visual system supports online translation invariance for object identification. Psychonomic Bulletin & Review. 23: 432-8. PMID 26450627 DOI: 10.3758/s13423-015-0916-2  0.354
2009 Bowers JS, Davis CJ. Learning representations of wordforms with recurrent networks: comment on sibley, kello, plaut, & elman (2008). Cognitive Science. 33: 1183-6. PMID 21585501 DOI: 10.1111/j.1551-6709.2009.01062.x  0.301
2002 Bowers JS. Challenging the widespread assumption that connectionism and distributed representations go hand-in-hand. Cognitive Psychology. 45: 413-45. PMID 12480480  0.309
1998 Arguin M, Bub D, Bowers J. EXTENT AND LIMITS OF COVERT LEXICAL ACTIVATION IN LETTER-BY-LETTER READING. Cognitive Neuropsychology. 15: 53-92. PMID 28657520 DOI: 10.1080/026432998381221  0.514
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