Music can be reconstructed from human auditory cortex activity using nonlinear decoding models.

Autor: Ludovic Bellier, Anaïs Llorens, Déborah Marciano, Aysegul Gunduz, Gerwin Schalk, Peter Brunner, Robert T Knight

Publikováno v: PLoS Biology, Vol 21, Iss 8, p e3002176 (2023)

Music is core to human experience, yet the precise neural dynamics underlying music perception remain unknown. We analyzed a unique intracranial electroencephalography (iEEG) dataset of 29 patients who listened to a Pink Floyd song and applied a stim

Externí odkaz: https://doaj.org/article/dc54cfa3a5b74e0092911ebe97cb2dae

Gender bias in academia: A lifetime problem that needs solutions

Autor: Adrienne L. Fairhall, Rosa Dominguez-Faus, Nancy Kopell, Ilina Bhaya-Grossman, Brooke Staveland, Katarina Slama, Mark A. Gorenstein, Robert T. Knight, Richard Jimenez, Joni D. Wallis, Athina Tzovara, Pedro Pinheiro-Chagas, Jack J. Lin, Ignacio Saez, Dylan Riley, Maria Ivanova, Yvonne M. Fonken, Ivan Skelin, Chris Holdgraf, Déborah Marciano, Julia W. Y. Kam, Celeste Kidd, Danielle S. Bassett, Nicholas E. Myers, Adeen Flinker, Zachariah R. Cross, Soyeon Jun, Anaïs Llorens, Enitan T Marcelle, Anna C. Nobre, Anat Perry, Sabine Kastner, Stephanie Martin, Shlomit Yuval-Greenberg, Karita E. Ojala, Nina F. Dronkers, Laura J. Kray, Colin W. Hoy, Stephanie K. Riès, William K. Chang, Aurélie Bidet-Caulet, Ludovic Bellier, Xiao Jing Wang, Anne Kristin Solbakk, Elizabeth A. Buffalo

Publikováno v: Neuron
Neuron, 2021, 109 (13), pp.2047-2074. ⟨10.1016/j.neuron.2021.06.002⟩
Neuron, Elsevier, 2021, 109 (13), pp.2047-2074. ⟨10.1016/j.neuron.2021.06.002⟩
Neuron, vol 109, iss 13

International audience; Despite increased awareness of the lack of gender equity in academia and a growing number of initiatives to address issues of diversity, change is slow, and inequalities remain. A major source of inequity is gender bias, which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44b89133468435a677073a3fe2d1fe81
https://doi.org/10.1016/j.neuron.2021.06.002

Threat of racial and economic inequality increases preference for algorithm decision-making

Autor: Yochanan E. Bigman, Scott J. Reynolds, Kurt Gray, Kai Chi Yam, Déborah Marciano

Publikováno v: Computers in Human Behavior. 122:106859

Artificial intelligence (AI) algorithms hold promise to reduce inequalities across race and socioeconomic status. One of the most important domains of racial and economic inequalities is medical outcomes; Black and low-income people are more likely t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b0247c52b5e0312fe59a313cd13a9fc
https://doi.org/10.1016/j.chb.2021.106859

The Alternative Omen Effect: Illusory negative correlation between the outcomes of choice options

Autor: Déborah Marciano-Romm, Sacha Bourgeois-Gironde, Assaf Romm, Leon Y. Deouell

Publikováno v: Cognition. 146:324-338

In situations of choice between uncertain options, one might get feedback on both the outcome of the chosen option and the outcome of the unchosen option ("the alternative"). Extensive research has shown that when both outcomes are eventually reveale

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c982df36da0bd8713ad3182bf0b6ebf2
https://doi.org/10.1016/j.cognition.2015.10.003

Alternative outcomes create biased expectations regarding the received outcome: Evidence from event-related potentials

Autor: Shlomo Bentin, Déborah Marciano, Leon Y. Deouell

Publikováno v: Neuropsychologia. 113

After choosing between uncertain options, one might get feedback on both the outcome of the chosen option and the outcome of the unchosen option (the alternative). Behavioral research has shown that in such cases people engage in outcome comparison,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc2d54ceb8aae144081905cc79c6e46
https://pubmed.ncbi.nlm.nih.gov/29567108