Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refining predictions about the outside world based on evidence sampled by the senses. However, recent predictive coding models include predictions that are resistant to change, and these stubborn predictions can be usefully incorporated into cognitive models
Perception is a complex, neural mechanism that requires organization and interpretation of input mea...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
Predictive coding posits that neural systems make forward-looking predictions about incoming informa...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Perceivers can use past experiences to make sense of ambiguous sensory signals. However, this may be...
Perceivers can use past experiences to make sense of ambiguous sensory signals. However, this may be...
Perceivers can use past experiences to make sense of ambiguous sensory signals. However, this may be...
We build models of the world around us to guide perception and learning in the face of uncertainty. ...
Prior knowledge shapes what we perceive. A new brain stimulation study suggests that this perceptual...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
In the 20th century we thought the brain extracted knowledge from sensations. The 21st century witne...
Biological brains are increasingly cast as ‘prediction machines’: evolved organs whose core operatin...
Recent work in computational and cognitive neuroscience depicts the brain as an ever‐active predicti...
For many years, the dominant theoretical framework guiding research into the neural origins of perce...
Perception is a complex, neural mechanism that requires organization and interpretation of input mea...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
Predictive coding posits that neural systems make forward-looking predictions about incoming informa...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Perceivers can use past experiences to make sense of ambiguous sensory signals. However, this may be...
Perceivers can use past experiences to make sense of ambiguous sensory signals. However, this may be...
Perceivers can use past experiences to make sense of ambiguous sensory signals. However, this may be...
We build models of the world around us to guide perception and learning in the face of uncertainty. ...
Prior knowledge shapes what we perceive. A new brain stimulation study suggests that this perceptual...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
In the 20th century we thought the brain extracted knowledge from sensations. The 21st century witne...
Biological brains are increasingly cast as ‘prediction machines’: evolved organs whose core operatin...
Recent work in computational and cognitive neuroscience depicts the brain as an ever‐active predicti...
For many years, the dominant theoretical framework guiding research into the neural origins of perce...
Perception is a complex, neural mechanism that requires organization and interpretation of input mea...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
Predictive coding posits that neural systems make forward-looking predictions about incoming informa...
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