… between internal activity, externally induced noise, and stimulus-driven activity, predicting
that in the case of a low target signal, an “adequate amount” of external noise (in our case the …

… reasoning ability [18], and characterizes fluid intelligence [19–22]. In … Originated from
perceptual learning [23, 24], it is well … [25–29] that teaching new concepts by comparing with noisy …

… a perceptual learning paradigm to decrease sensory noise. In Experiment 1, 7 days of training
led to a significant decrease in sensory noise … Perceptual learning reflects external noise …

… Audition informs us about sources outside our field of view or … Further, decisional noise
may corrupt perceptual estimates after … To characterize how the brain uses cross-sensory …

… Neural representations of the external world are constructed and updated in a manner
that … Stimuli were 0.5–32 kHz pure tones at one octave intervals, presented at 70 dB sound …

… for dealing with external and internal sources of noise [47]. Human perceptual biases running
… emphasizes the importance of characterizing computation noise for understanding even …

… To characterize the temporal dynamics of learning correlates in dACC activity, we constructed
a finite impulse response model aligned either to the presentation of each outcome or to …

… Characterizing the correlations that models depend on thus has important implications for …
• Using the aforementioned toolkit, we characterize models’ reliance on image backgrounds. …

… is spatial perception of sound and, more specifically, sound … The HRTF characterizes the
acoustic signal transformations … by the system) from perceptual learning (where participants’ …

… distributed metacognitive noise. The model outperformed competing models either lacking
metacognitive noise altogether or featuring Gaussian metacognitive noise. Further, the model …