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pro vyhledávání: '"Steven Piantadosi"'
Autor:
Steven Piantadosi
Publikováno v:
Minds Mach (Dordr)
Each of our theories of mental representation provides some insight into how the mind works. However, these insights often seem incompatible, as the debates between symbolic, dynamical, emergentist, sub-symbolic, and grounded approaches to cognition
Autor:
Hope Kean, Francis Mollica, Zachary Mineroff, Evgeniia Diachek, Peng Qian, Evelina Fedorenko, Steven Piantadosi, Richard Futrell, Matthew Siegelman
Publikováno v:
Mollica, F, Siegelman, M, Diachek, E, Piantadosi, S T, Mineroff, Z, Futrell, R, Kean, H, Qian, P & Fedorenko, E 2020, ' Composition is the Core Driver of the Language-selective Network ', Neurobiology of Language, vol. 1, no. 1, pp. 104-134 . https://doi.org/10.1162/nol_a_00005
The frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the computations that these language areas support remain debated. Two key features of sentences are
Publikováno v:
Nature neuroscience
It remains unclear whether and, if so, how non-human animals make on-the-fly predictions during pursuit. Here, we used a novel laboratory pursuit task that incentivizes prediction of future prey positions. We trained three macaques to perform a joyst
Autor:
Idan Blank, Richard Futrell, Edward Gibson, Harry Tily, Evelina Fedorenko, Anastasia Vishnevetsky, Steven Piantadosi
Publikováno v:
Language Resources and Evaluation
It is now a common practice to compare models of human language processing by comparing how well they predict behavioral and neural measures of processing difficulty, such as reading times, on corpora of rich naturalistic linguistic materials. Howeve
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43
Author(s): Cheyette, Samuel J.; Wu, Shengyi; Piantadosi, Steven | Abstract: People can identify the number of objects in small sets rapidly and without error but become increasingly noisy for larger sets. However, the cognitive mechanisms underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8977d2bc559b394862443fbb96c59ab
https://doi.org/10.31234/osf.io/zyp2t
https://doi.org/10.31234/osf.io/zyp2t
Publikováno v:
Nutrition and Cancer Prevention
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48638ad586539624eb9ed1b0febc271a
https://doi.org/10.1201/9781003210061-23
https://doi.org/10.1201/9781003210061-23
Previous studies suggest that mentally representing exact numbers larger than four depends on a verbal count routine (e.g. “one, two, three...”). However, these findings are controversial, as they rely on comparisons across radically different la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6514c756272e8220db1228133794fabc
https://doi.org/10.31234/osf.io/tcgb8
https://doi.org/10.31234/osf.io/tcgb8
Autor:
Samuel J. Cheyette, Steven Piantadosi
Publikováno v:
Proceedings of the National Academy of Sciences. 116:17729-17734
The approximate number system (ANS) has attracted broad interest due to its potential importance in early mathematical development and the fact that it is conserved across species. Models of the ANS and behavioral measures of ANS acuity both assume t
Autor:
Steven Piantadosi, Brenden M. Lake
Publikováno v:
Computational Brain & Behavior. 3:54-65
Machine learning has made major advances in categorizing objects in images, yet the best algorithms miss important aspects of how people learn and think about categories. People can learn richer concepts from fewer examples, including causal models t
Publikováno v:
Artif Intell Med
Omics data usually have ultra-high dimension (p) and small sample size (n). Standard support vector machines (SVMs), which minimize the L(2) norm for the primal variables, only lead to sparse solutions for the dual variables. L(1) based SVMs, directl