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

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Emotional learning selectively and retroactively strengthens memories for related events

Joseph E. Dunsmoor, Vishnu P. Murty, Lila Davachi, Elizabeth A. Phelps

Presented by David Nagy

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Probability matching

thematic overview

presented by Merse E. Gáspár

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Perceptual decision-making as probabilistic inference by neural sampling.

R. M. Haefner, P. Berkes, and J. Fiser (ArXiv, 2014)

Presented by Gergo Orban

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Concepts in a probabilistic language of thought

Noah D. Goodman, Joshua B. Tenenbaum, Tobias Gerstenberg

Presented by David Nagy

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Bell’s inequalities, quantum cognition, and mental disjunction

thematic overview

presented by Merse E. Gáspár

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The Hamiltonian brain

Laurence Aitchison and Máté Lengyel

presented by Mihály Bányai

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Intriguing properties of neural networks

C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus

presented by Mihály Bányai

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Performance-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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