Humans use prior expectations to improve perception, especially of sensory signals that are degraded or ambiguous. However, if sensory input deviates from prior expectations, correct perception depends on adjusting or rejecting prior expectations. Failure to adjust or reject the prior leads to perceptual illusions especially if there is partial overlap (hence partial mismatch) between expectations and input. With speech, “Slips of the ear” occur when expectations lead to misperception. For instance, a entomologist, might be more susceptible to hear "The ants are my friends" for "The answer, my friend" (in the Bob Dylan song "Blowing in the Wind"). Here, we contrast two mechanisms by which prior expectations may lead to misperception of degr...
International audienceThe predictive coding model of perception proposes that neuronal responses are...
We examined which brain areas are involved in the comprehension of acoustically distorted speech usi...
Speech recognition is rapid, automatic and amazingly robust. How the brain is able to decode speech ...
Humans use prior expectations to improve perception, especially of sensory signals that are degraded...
Successful perception depends on combining sensory input with prior knowledge. However, the underlyi...
Human perception is shaped by past experience on multiple timescales. Sudden and dramatic changes in...
Normal perception relies on predictive coding, in which neural networks establish associations among...
Human speech perception can be described as Bayesian perceptual inference but how are these Bayesian...
As the evidence of predictive processes playing a role in a wide variety of cognitive domains increa...
Perception relies on the integration of sensory information and prior expectations. Here we show tha...
As the evidence of predictive processes playing a role in a wide variety of cognitive domains increa...
Speech signals are often compromised by disruptions originating from external (e.g., masking noise) ...
Computational and experimental research has revealed that auditory sensory predictions are derived f...
Theories of predictive processing propose that prediction error responses are modulated by the certa...
As the evidence of predictive processes playing a role in a wide variety of cognitive domains increa...
International audienceThe predictive coding model of perception proposes that neuronal responses are...
We examined which brain areas are involved in the comprehension of acoustically distorted speech usi...
Speech recognition is rapid, automatic and amazingly robust. How the brain is able to decode speech ...
Humans use prior expectations to improve perception, especially of sensory signals that are degraded...
Successful perception depends on combining sensory input with prior knowledge. However, the underlyi...
Human perception is shaped by past experience on multiple timescales. Sudden and dramatic changes in...
Normal perception relies on predictive coding, in which neural networks establish associations among...
Human speech perception can be described as Bayesian perceptual inference but how are these Bayesian...
As the evidence of predictive processes playing a role in a wide variety of cognitive domains increa...
Perception relies on the integration of sensory information and prior expectations. Here we show tha...
As the evidence of predictive processes playing a role in a wide variety of cognitive domains increa...
Speech signals are often compromised by disruptions originating from external (e.g., masking noise) ...
Computational and experimental research has revealed that auditory sensory predictions are derived f...
Theories of predictive processing propose that prediction error responses are modulated by the certa...
As the evidence of predictive processes playing a role in a wide variety of cognitive domains increa...
International audienceThe predictive coding model of perception proposes that neuronal responses are...
We examined which brain areas are involved in the comprehension of acoustically distorted speech usi...
Speech recognition is rapid, automatic and amazingly robust. How the brain is able to decode speech ...