Bowers, Jeffrey S.

Bayesian just-so stories in psychology and neuroscience.

Bowers, J. S., & Davis, C. J. (2012) · Psychological Bulletin

Bayesian Modeling and Causal InferenceEmbodied and Extended Cognition

Cited by 436

Deep problems with neural network models of human vision

Bowers, J. S., Malhotra, G., Dujmović, M., Llera Montero, M., Tsvetkov, C., Biscione, V., Puebla, G., Adolfi, F., Hummel, J. E., Heaton, R. F., et al. (2023) · Behavioral and Brain Sciences

Visual perception and processing mechanismsFace Recognition and Perception

Cited by 204

Orthographic, phonological, and articulatory contributions to masked letter and word priming

Bowers, J. S., Vigliocco, G., & Haan, R. (1998) · Journal of Experimental Psychology: Human Perception and Performance

Reading and Literacy DevelopmentNeurobiology of Language and Bilingualism

Cited by 138

Article Commentary: On the Persistence of Low Power in Psychological Science

Vankov, I., Bowers, J., & Munafò, M. R. (2014) · Quarterly Journal of Experimental Psychology

Psychology Research and BibliometricsMeta-analysis and systematic reviews

Cited by 82

Is that what Bayesians believe? Reply to Griffiths, Chater, Norris, and Pouget (2012).

Bowers, J. S., & Davis, C. J. (2012) · Psychological Bulletin

Bayesian Modeling and Causal InferenceStatistical Methods and Bayesian Inference

Cited by 38

Are there any ‘object detectors’ in the hidden layers of CNNs trained to identify objects or scenes?

Gale, E. M., Martin, N., Blything, R., Nguyen, A., & Bowers, J. S. (2020) · Vision Research

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 16