Using psychophysics to ask if the brain samples or maximizes
Daniel E. Acuna, Max Berniker, Hugo L. Fernandes, Konrad P. Körding
presented by Merse E. Gáspár
read moreEmotional learning selectively and retroactively strengthens memories for related events
Joseph E. Dunsmoor, Vishnu P. Murty, Lila Davachi, Elizabeth A. Phelps
Presented by David Nagy
read morePerceptual decision-making as probabilistic inference by neural sampling.
R. M. Haefner, P. Berkes, and J. Fiser (ArXiv, 2014)
Presented by Gergo Orban
read moreConcepts in a probabilistic language of thought
Noah D. Goodman, Joshua B. Tenenbaum, Tobias Gerstenberg
Presented by David Nagy
read moreEfficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
Xue-Xin Wei and Alan A. Stocker
presented by Merse E. Gáspár
read moreBell’s inequalities, quantum cognition, and mental disjunction
thematic overview
presented by Merse E. Gáspár
read moreIntriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus
presented by Mihály Bányai
read morePerformance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel L. K. Yamins, Ha Hong, Charles F. Cadieu, Ethan A. Solomon, Darren Seibert, and James J. DiCarlo
presented by Mihály Bányai
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