Low attention impairs optimal incorporation of prior knowledge in perceptual decisions
When visual attention is directed away from a stimulus, neural processing is weak and strength and precision of sensory data decreases. From a computational perspective, in such situations observers should give more weight to prior expectations in order to behave optimally during a discrimination ta...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_19433921_v77_n6_p2021_Morales |
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todo:paper_19433921_v77_n6_p2021_Morales2023-10-03T16:36:57Z Low attention impairs optimal incorporation of prior knowledge in perceptual decisions Morales, J. Solovey, G. Maniscalco, B. Rahnev, D. de Lange, F.P. Lau, H. Attention: divided attention and inattention Cognitive and attentional control Ideal observer Bayesian models Signal detection theory adolescent adult attention Bayes theorem constructive feedback female human male perceptive discrimination photostimulation reward vision Adolescent Adult Attention Bayes Theorem Discrimination (Psychology) Female Formative Feedback Humans Male Photic Stimulation Reward Signal Detection, Psychological Visual Perception When visual attention is directed away from a stimulus, neural processing is weak and strength and precision of sensory data decreases. From a computational perspective, in such situations observers should give more weight to prior expectations in order to behave optimally during a discrimination task. Here we test a signal detection theoretic model that counter-intuitively predicts subjects will do just the opposite in a discrimination task with two stimuli, one attended and one unattended: when subjects are probed to discriminate the unattended stimulus, they rely less on prior information about the probed stimulus’ identity. The model is in part inspired by recent findings that attention reduces trial-by-trial variability of the neuronal population response and that they use a common criterion for attended and unattended trials. In five different visual discrimination experiments, when attention was directed away from the target stimulus, subjects did not adjust their response bias in reaction to a change in stimulus presentation frequency despite being fully informed and despite the presence of performance feedback and monetary and social incentives. This indicates that subjects did not rely more on the priors under conditions of inattention as would be predicted by a Bayes-optimal observer model. These results inform and constrain future models of Bayesian inference in the human brain. © 2015, The Psychonomic Society, Inc. Fil:Solovey, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_19433921_v77_n6_p2021_Morales |
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Universidad de Buenos Aires |
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I-28 |
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R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Attention: divided attention and inattention Cognitive and attentional control Ideal observer Bayesian models Signal detection theory adolescent adult attention Bayes theorem constructive feedback female human male perceptive discrimination photostimulation reward vision Adolescent Adult Attention Bayes Theorem Discrimination (Psychology) Female Formative Feedback Humans Male Photic Stimulation Reward Signal Detection, Psychological Visual Perception |
| spellingShingle |
Attention: divided attention and inattention Cognitive and attentional control Ideal observer Bayesian models Signal detection theory adolescent adult attention Bayes theorem constructive feedback female human male perceptive discrimination photostimulation reward vision Adolescent Adult Attention Bayes Theorem Discrimination (Psychology) Female Formative Feedback Humans Male Photic Stimulation Reward Signal Detection, Psychological Visual Perception Morales, J. Solovey, G. Maniscalco, B. Rahnev, D. de Lange, F.P. Lau, H. Low attention impairs optimal incorporation of prior knowledge in perceptual decisions |
| topic_facet |
Attention: divided attention and inattention Cognitive and attentional control Ideal observer Bayesian models Signal detection theory adolescent adult attention Bayes theorem constructive feedback female human male perceptive discrimination photostimulation reward vision Adolescent Adult Attention Bayes Theorem Discrimination (Psychology) Female Formative Feedback Humans Male Photic Stimulation Reward Signal Detection, Psychological Visual Perception |
| description |
When visual attention is directed away from a stimulus, neural processing is weak and strength and precision of sensory data decreases. From a computational perspective, in such situations observers should give more weight to prior expectations in order to behave optimally during a discrimination task. Here we test a signal detection theoretic model that counter-intuitively predicts subjects will do just the opposite in a discrimination task with two stimuli, one attended and one unattended: when subjects are probed to discriminate the unattended stimulus, they rely less on prior information about the probed stimulus’ identity. The model is in part inspired by recent findings that attention reduces trial-by-trial variability of the neuronal population response and that they use a common criterion for attended and unattended trials. In five different visual discrimination experiments, when attention was directed away from the target stimulus, subjects did not adjust their response bias in reaction to a change in stimulus presentation frequency despite being fully informed and despite the presence of performance feedback and monetary and social incentives. This indicates that subjects did not rely more on the priors under conditions of inattention as would be predicted by a Bayes-optimal observer model. These results inform and constrain future models of Bayesian inference in the human brain. © 2015, The Psychonomic Society, Inc. |
| format |
JOUR |
| author |
Morales, J. Solovey, G. Maniscalco, B. Rahnev, D. de Lange, F.P. Lau, H. |
| author_facet |
Morales, J. Solovey, G. Maniscalco, B. Rahnev, D. de Lange, F.P. Lau, H. |
| author_sort |
Morales, J. |
| title |
Low attention impairs optimal incorporation of prior knowledge in perceptual decisions |
| title_short |
Low attention impairs optimal incorporation of prior knowledge in perceptual decisions |
| title_full |
Low attention impairs optimal incorporation of prior knowledge in perceptual decisions |
| title_fullStr |
Low attention impairs optimal incorporation of prior knowledge in perceptual decisions |
| title_full_unstemmed |
Low attention impairs optimal incorporation of prior knowledge in perceptual decisions |
| title_sort |
low attention impairs optimal incorporation of prior knowledge in perceptual decisions |
| url |
http://hdl.handle.net/20.500.12110/paper_19433921_v77_n6_p2021_Morales |
| work_keys_str_mv |
AT moralesj lowattentionimpairsoptimalincorporationofpriorknowledgeinperceptualdecisions AT soloveyg lowattentionimpairsoptimalincorporationofpriorknowledgeinperceptualdecisions AT maniscalcob lowattentionimpairsoptimalincorporationofpriorknowledgeinperceptualdecisions AT rahnevd lowattentionimpairsoptimalincorporationofpriorknowledgeinperceptualdecisions AT delangefp lowattentionimpairsoptimalincorporationofpriorknowledgeinperceptualdecisions AT lauh lowattentionimpairsoptimalincorporationofpriorknowledgeinperceptualdecisions |
| _version_ |
1807319812813094912 |