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Brian Maniscalco
National Institutes of Health
  1.  79
    A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings.Brian Maniscalco & Hakwan Lau - 2012 - Consciousness and Cognition 21 (1):422-430.
    How should we measure metacognitive sensitivity, i.e. the efficacy with which observers’ confidence ratings discriminate between their own correct and incorrect stimulus classifications? We argue that currently available methods are inadequate because they are influenced by factors such as response bias and type 1 sensitivity . Extending the signal detection theory approach of Galvin, Podd, Drga, and Whitmore , we propose a method of measuring type 2 sensitivity that is free from these confounds. We call our measure meta-d′, which reflects (...)
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  2. The Neural Substrates of Conscious Perception without Performance Confounds.Jorge Morales, Brian Odegaard & Brian Maniscalco - forthcoming - In Felipe De Brigard & Walter Sinnott-Armstrong (eds.), Anthology of Neuroscience and Philosophy.
    To find the neural substrates of consciousness, researchers compare subjects’ neural activity when they are aware of stimuli against neural activity when they are not aware. Ideally, to guarantee that the neural substrates of consciousness—and nothing but the neural substrates of consciousness—are isolated, the only difference between these two contrast conditions should be conscious awareness. Nevertheless, in practice, it is quite challenging to eliminate confounds and irrelevant differences between conscious and unconscious conditions. In particular, there is an often-neglected confound that (...)
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  3. Low attention impairs optimal incorporation of prior knowledge in perceptual decisions.Jorge Morales, Guillermo Solovey, Brian Maniscalco, Dobromir Rahnev, Floris P. de Lange & Hakwan Lau - 2015 - Attention, Perception, and Psychophysics 77 (6):2021-2036.
    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 (...)
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    On a ‘failed’ attempt to manipulate visual metacognition with transcranial magnetic stimulation to prefrontal cortex.Eugene Ruby, Brian Maniscalco & Megan A. K. Peters - 2018 - Consciousness and Cognition 62:34-41.
  5.  42
    The metaperceptual function: Exploring dissociations between confidence and task performance with type 2 psychometric curves.Brian Maniscalco, Olenka Graham Castaneda, Brian Odegaard, Jorge Morales, Sivananda Rajananda & Megan Peters - manuscript
    Confidence can dissociate from perceptual accuracy, suggesting distinct computational and neural processes underlie these psychological functions. Recent investigations have therefore sought to experimentally isolate metacognitive processes by creating conditions where perceptual sensitivity is matched but confidence differs (“matched-performance / different-confidence”; MPDC). Despite these endeavors’ success, much remains unknown about MPDC effects and how to best harness them in experimental settings. Here we developed a principled approach to comprehensively characterizing MPDC effects through analyzing metaperceptual (i.e., type 2 psychometric) functions relating objective (...)
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