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Rafael Polanía

Biographic Data

ID1752394
NAMERafael Polanía
GIVEN NAMESRafael
FAMILY NAMEPolanía
SIGNATUREPOLANÍA R
AFFILIATIONSETH Zurich
ORCID0000-0002-6176-6806
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Causal phase-dependent control of non-spatial attention in human prefrontal cortex

    Open Access•Jeroen Brus, Joseph A Heng et al.•ARTICLE•Nature Human Behaviour•2024•References: 41

    Non-spatial attention is a fundamental cognitive mechanism that allows organisms to orient the focus of conscious awareness towards sensory information that is relevant to a behavioural goal while shifting it away from irrelevant stimuli. It has been suggested that attention is regulated by the ongoing phase of slow excitability fluctuations of neural activity in the prefrontal cortex, a hypothesis that has been challenged with no consensus. Here…

  • Individual risk attitudes arise from noise in neurocognitive magnitude representations

    Open Access•Miguel Barretto-García, Gilles De Hollander et al.•ARTICLE•Nature Human Behaviour•2023•References: 70

  • Sensory perception relies on fitness-maximizing codes

    Open Access•Jonathan Schaffner, Sherry Dongqi Bao et al.•ARTICLE•Nature Human Behaviour•2023•References: 59

    Sensory information encoded by humans and other organisms is generally presumed to be as accurate as their biological limitations allow. However, perhaps counterintuitively, accurate sensory representations may not necessarily maximize the organism's chances of survival. To test this hypothesis, we developed a unified normative framework for fitness-maximizing encoding by combining theoretical insights from neuroscience, computer science, and eco…

  • Dissociable mechanisms govern when and how strongly reward attributes affect decisions

    Open Access•Silvia U Maier, Anjali Raja Beharelle et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 2•References: 73

  • Dissociable mechanisms govern when and how strongly reward attributes affect decisions

    Open Access•Silvia U Maier, Anjali Raja Beharelle et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 2•References: 73

  • Dissociable mechanisms govern when and how strongly reward attributes affect decisions

    Open Access•Silvia U Maier, Anjali Raja Beharelle et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 2•References: 73

  • Individual risk attitudes arise from noise in neurocognitive magnitude representations

    Open Access•Miguel Barretto-García, Gilles De Hollander et al.•ARTICLE•Nature Human Behaviour•2023•References: 70

  • Sensory perception relies on fitness-maximizing codes

    Open Access•Jonathan Schaffner, Sherry Dongqi Bao et al.•ARTICLE•Nature Human Behaviour•2023•References: 59

    Sensory information encoded by humans and other organisms is generally presumed to be as accurate as their biological limitations allow. However, perhaps counterintuitively, accurate sensory representations may not necessarily maximize the organism's chances of survival. To test this hypothesis, we developed a unified normative framework for fitness-maximizing encoding by combining theoretical insights from neuroscience, computer science, and eco…

  • Causal phase-dependent control of non-spatial attention in human prefrontal cortex

    Open Access•Jeroen Brus, Joseph A Heng et al.•ARTICLE•Nature Human Behaviour•2024•References: 41

    Non-spatial attention is a fundamental cognitive mechanism that allows organisms to orient the focus of conscious awareness towards sensory information that is relevant to a behavioural goal while shifting it away from irrelevant stimuli. It has been suggested that attention is regulated by the ongoing phase of slow excitability fluctuations of neural activity in the prefrontal cortex, a hypothesis that has been challenged with no consensus. Here…

Cognitive psychology (4 works) · Psychology (4 works) · Neural dynamics and brain function (3 works) · Neuroscience (3 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Computer Science (2 works) · Decision-Making and Behavioral Economics (2 works) · Econometrics (2 works) · Economics (2 works)

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