Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ariel Zylberberg"'
Autor:
Natalie Steinemann, Gabriel M Stine, Eric Trautmann, Ariel Zylberberg, Daniel M Wolpert, Michael N Shadlen
Publikováno v:
eLife, Vol 12 (2024)
Neurobiological investigations of perceptual decision-making have furnished the first glimpse of a flexible cognitive process at the level of single neurons. Neurons in the parietal and prefrontal cortex are thought to represent the accumulation of n
Externí odkaz:
https://doaj.org/article/cb90fa7d4a9f46219550cb4b494252b8
Publikováno v:
eLife, Vol 12 (2023)
Deciding how difficult it is going to be to perform a task allows us to choose between tasks, allocate appropriate resources, and predict future performance. To be useful for planning, difficulty judgments should not require completion of the task. H
Externí odkaz:
https://doaj.org/article/b59e7afd6b16425bb64590f4b0df08d6
Autor:
Ariel Zylberberg
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 12 (2021)
From cooking a meal to finding a route to a destination, many real life decisions can be decomposed into a hierarchy of sub-decisions. In a hierarchy, choosing which decision to think about requires planning over a potentially vast space of possible
Externí odkaz:
https://doaj.org/article/7e99bbaf4384481c81ed85a5283aaccc
Autor:
Yul HR Kang, Anne Löffler, Danique Jeurissen, Ariel Zylberberg, Daniel M Wolpert, Michael N Shadlen
Publikováno v:
eLife, Vol 10 (2021)
The brain is capable of processing several streams of information that bear on different aspects of the same problem. Here, we address the problem of making two decisions about one object, by studying difficult perceptual decisions about the color an
Externí odkaz:
https://doaj.org/article/20638e4de15e4c0da1220b919cec0af2
Publikováno v:
eLife, Vol 9 (2020)
Many tasks used to study decision-making encourage subjects to integrate evidence over time. Such tasks are useful to understand how the brain operates on multiple samples of information over prolonged timescales, but only if subjects actually integr
Externí odkaz:
https://doaj.org/article/94221e38e6204705a505446e566cd70d
Autor:
Akram Bakkour, Daniela J Palombo, Ariel Zylberberg, Yul HR Kang, Allison Reid, Mieke Verfaellie, Michael N Shadlen, Daphna Shohamy
Publikováno v:
eLife, Vol 8 (2019)
Choosing between two items involves deliberation and comparison of the features of each item and its value. Such decisions take more time when choosing between options of similar value, possibly because these decisions require more evidence, but the
Externí odkaz:
https://doaj.org/article/151bb0c58eb8416f8ae0fec493eade80
Autor:
Ariel Zylberberg, Jeannette AM Lorteije, Brian G Ouellette, Chris I De Zeeuw, Mariano Sigman, Pieter Roelfsema
Publikováno v:
eLife, Vol 6 (2017)
The study of decision-making has mainly focused on isolated decisions where choices are associated with motor actions. However, problem-solving often involves considering a hierarchy of sub-decisions. In a recent study (Lorteije et al. 2015), we repo
Externí odkaz:
https://doaj.org/article/75297e69e78747e585fbd7449b30af98
Publikováno v:
eLife, Vol 5 (2016)
Many decisions are thought to arise via the accumulation of noisy evidence to a threshold or bound. In perception, the mechanism explains the effect of stimulus strength, characterized by signal-to-noise ratio, on decision speed, accuracy and confide
Externí odkaz:
https://doaj.org/article/d003e5704a1b41769b751efa2cfe3927
Autor:
Ronald van den Berg, Kavitha Anandalingam, Ariel Zylberberg, Roozbeh Kiani, Michael N Shadlen, Daniel M Wolpert
Publikováno v:
eLife, Vol 5 (2016)
Decisions are accompanied by a degree of confidence that a selected option is correct. A sequential sampling framework explains the speed and accuracy of decisions and extends naturally to the confidence that the decision rendered is likely to be cor
Externí odkaz:
https://doaj.org/article/e7b8f780f7014b849812e4ee5410f8f6
Autor:
Ariel Zylberberg, Diego Fernández Slezak, Pieter R Roelfsema, Stanislas Dehaene, Mariano Sigman
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 4, p e1000765 (2010)
The human brain efficiently solves certain operations such as object recognition and categorization through a massively parallel network of dedicated processors. However, human cognition also relies on the ability to perform an arbitrarily large set
Externí odkaz:
https://doaj.org/article/e9c8493d6f354e9c9b49d014613492c9