We thank Corlett for his thought-provoking response [1] to our recent article [2]. Corlett shares our concerns about inconsistencies in theories of perceptual prediction and highlights some reminiscent debates in learning theory. He also proposes why the perceptual prediction mechanisms may operate differently in the domain of action relative to other sensory cognition. Here, we highlight how we share the conviction that dialogue across disciplines will inform both models of perception and learning, but clarify that important distinctions between the explananda mean the theoretical puzzles are not reducible to each other. We also question whether action prediction mechanisms do indeed operate differently
Prediction error (‘‘surprise’’) affects the rate of learning: We learn more rapidly about cues for w...
When we produce an action we generate predictions about the sensory consequences that are likely to ...
Perception is a complex, neural mechanism that requires organization and interpretation of input mea...
A response to Corlett's response to our article "The perceptual prediction paradox"
From streams of noisy sensory information, we must generate perceptual experiences that are broadly ...
Perception of expected action outcomes has been thought for decades to be attenuated or ‘cancelled’....
Prior knowledge shapes what we perceive. A new brain stimulation study suggests that this perceptual...
Prediction error ("surprise") affects the rate of learning: We learn more rapidly about cues for whi...
We build models of the world around us to guide perception and learning in the face of uncertainty. ...
Models of action control suggest that predicted action outcomes are “cancelled” from perception, all...
Forming expectations about what we are likely to perceive often facilitates perception. We forge suc...
From the noisy information bombarding our senses our brains must construct percepts that are veridi...
We predict how our actions will influence the world around us. Prevailing models of action control p...
We predict how our actions will influence the world around us. Prevailing models in the action contr...
This study investigates whether the conscious awareness of action is based on predictive motor contr...
Prediction error (‘‘surprise’’) affects the rate of learning: We learn more rapidly about cues for w...
When we produce an action we generate predictions about the sensory consequences that are likely to ...
Perception is a complex, neural mechanism that requires organization and interpretation of input mea...
A response to Corlett's response to our article "The perceptual prediction paradox"
From streams of noisy sensory information, we must generate perceptual experiences that are broadly ...
Perception of expected action outcomes has been thought for decades to be attenuated or ‘cancelled’....
Prior knowledge shapes what we perceive. A new brain stimulation study suggests that this perceptual...
Prediction error ("surprise") affects the rate of learning: We learn more rapidly about cues for whi...
We build models of the world around us to guide perception and learning in the face of uncertainty. ...
Models of action control suggest that predicted action outcomes are “cancelled” from perception, all...
Forming expectations about what we are likely to perceive often facilitates perception. We forge suc...
From the noisy information bombarding our senses our brains must construct percepts that are veridi...
We predict how our actions will influence the world around us. Prevailing models of action control p...
We predict how our actions will influence the world around us. Prevailing models in the action contr...
This study investigates whether the conscious awareness of action is based on predictive motor contr...
Prediction error (‘‘surprise’’) affects the rate of learning: We learn more rapidly about cues for w...
When we produce an action we generate predictions about the sensory consequences that are likely to ...
Perception is a complex, neural mechanism that requires organization and interpretation of input mea...