Neural mechanisms for timing visual events are spatially selective in real-world coordinates

2007 ◽  
Vol 10 (4) ◽  
pp. 423-425 ◽  
Author(s):  
David Burr ◽  
Arianna Tozzi ◽  
M Concetta Morrone
2010 ◽  
Vol 8 (6) ◽  
pp. 1054-1054
Author(s):  
J. Vettel ◽  
J. Green ◽  
L. Heller ◽  
M. Tarr

2009 ◽  
Vol 1251 ◽  
pp. 162-175 ◽  
Author(s):  
Li Hsieh ◽  
Richard A. Young ◽  
Susan M. Bowyer ◽  
John E. Moran ◽  
Richard J. Genik ◽  
...  

2020 ◽  
Author(s):  
Kevin Miller ◽  
Sarah Jo Venditto

Decisions in the natural world are rarely made in isolation. Each action that an organism selects will affect the future situations in which it finds itself, and those situations will in turn affect the future actions that are available. Achieving real-world goals often requires successfully navigating a sequence of many actions. An efficient and flexible way to achieve such goals is to construct an internal model of the environment, and use it to plan behavior multiple steps into the future. This process is known as multi-step planning, and its neural mechanisms are only beginning to be understood. Here, we review recent advances in our understanding of these mechanisms, many of which take advantage of multi-step decision tasks for humans and animals.


2009 ◽  
Vol 1251 ◽  
pp. 151-161 ◽  
Author(s):  
Susan M. Bowyer ◽  
Li Hsieh ◽  
John E. Moran ◽  
Richard A. Young ◽  
Arun Manoharan ◽  
...  

2018 ◽  
Author(s):  
Laurent Caplette ◽  
Frédéric Gosselin ◽  
Martial Mermillod ◽  
et Bruno Wicker

AbstractIt is well known that expectations influence how we perceive the world. Yet the neural mechanisms underlying this process remain unclear. Studies about the effects of prior expectations have focused so far on artificial contingencies between simple neutral cues and events. Real-world expectations are however often generated from complex associations between contexts and objects learned over a lifetime. Additionally, these expectations may contain some affective value and recent proposals present conflicting hypotheses about the mechanisms underlying affect in predictions. In this study, we used fMRI to investigate how object processing is influenced by realistic context-based expectations, and how affect impacts these expectations. First, we show that the precuneus, the inferotemporal cortex and the frontal cortex are more active during object recognition when expectations have been elicited a priori, irrespectively of their validity or their affective intensity. This result supports previous hypotheses according to which these brain areas integrate contextual expectations with object sensory information. Notably, these brain areas are different from those responsible for simultaneous context-object interactions, dissociating the two processes. Then, we show that early visual areas, on the contrary, are more active during object recognition when no prior expectation has been elicited by a context. Lastly, BOLD activity was shown to be enhanced in early visual areas when objects are less expected, but only when contexts are neutral; the reverse effect is observed when contexts are affective. This result supports the proposal that affect modulates the weighting of sensory information during predictions. Together, our results help elucidate the neural mechanisms of real-world expectations.


2020 ◽  
Author(s):  
Michele Fornaciai ◽  
Massimiliano Di Luca

Causality poses clear constraints to the timing of sensory signals produced by events, as sound travels slower than light, causing auditory stimulation to lag visual stimulation. Previous studies show that implied causality between unrelated events can change the tolerance of simultaneity judgements for audio-visual asynchronies. Here, we tested whether apparent causality between audio-visual events may also affect their perceived temporal order. To this aim, we used a disambiguated stream-bounce display, with stimuli either bouncing or streaming upon each other. These two possibilities were accompanied by a sound played around the time of contact between the objects, which could be perceived as causally related to the visual event according to the condition. Participants reported whether the visual contact occurred before or after the sound. Our results show that when the audio-visual stimuli are consistent with a causal interpretation (i.e., the bounce caused the sound), their perceived temporal order is systematically biased. Namely, a stimulus dynamics consistent with a causal relation induces a perceptual delay in the audio component, even if the sound was actually presented first. We thus conclude that causality can systematically bias the perceived temporal order of events, possibly due to expectations based on the dynamics of events in the real world.


2019 ◽  
Author(s):  
Ziad Hakim ◽  
Natalie Ebner ◽  
Daniela Oliveira ◽  
Sarah Getz ◽  
Bonnie Levin ◽  
...  

Phishing emails constitute a major public health problem, linked to negative health outcomes due to fraud and exploitation. Because of their sheer volume and because phishing emails are designed to deceive, purely technological solutions such as filters only go so far, leaving human judgment as the last line of defense against phishing. However, in part because it is difficult to phish people under controlled laboratory conditions, little is known about the cognitive and neural mechanisms underlying phishing susceptibility. There is therefore a critical need to develop an ecologically valid measure of phishing susceptibility that can be used in the lab to test cognitive models of phishing detection. In this work, we present such a task: PEST, the Phishing Email Suspicion Test, in which participants rate a series of phishing and non-phishing emails according to their level of suspicion. By comparing suspicion scores for each email to its real-world efficacy (assessed in a field experiment in an independent group of participants), we find support for the ecological validity of PEST in that phishing emails that were more effective in the real world were more effective at deceiving people in the lab. By modeling behavior in PEST, we find evidence that the suspicion level of emails is assessed using a comparison process in which the current email is compared with previously encountered emails to determine its suspicion level. Together our task and model provide a framework for studying the cognitive neuroscience of email phishing detection in the lab.


2018 ◽  
Vol 41 ◽  
Author(s):  
Michał Białek

AbstractIf we want psychological science to have a meaningful real-world impact, it has to be trusted by the public. Scientific progress is noisy; accordingly, replications sometimes fail even for true findings. We need to communicate the acceptability of uncertainty to the public and our peers, to prevent psychology from being perceived as having nothing to say about reality.


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