Predictive coding in perception and cognition
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1
Leipzig University, Germany
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2
Hungarian Academy of Sciences, Institute for Psychology, Hungary
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3
University of Szeged, Institute for Psychology, Hungary
Generating predictions is an essential process at all levels of the cognitive hierarchy. In recent years, there has been an important focus shift from studying how the brain registers the outside world to studying how it actually interprets it by active processes, constantly anticipating future events in various time scales. Prediction is essential for the sensory systems for interpreting complex information in real time. Clear evidence of prediction taking place at low levels of the processing hierarchy comes, for example, from research on automatic rule extraction in the auditory modality, showing that implicit rules in a sound sequence can be encoded even during altered states of consciousness. Furthermore, prediction is also needed for interacting with the world. In the motor domain, forward models allow us, for example, to execute the precise movement sequence leading to catching a ball at a predicted future location within its trajectory, or to anticipate the immediate sensory consequences of our own actions. At a much higher level in the hierarchy, prediction underlies many complex cognitive functions, such as planning one’s career, which reaches years into the future. Looking at research that tackles predictive processes from different perspectives, time scales, and cognitive levels, we can try to assess whether there is a common core mechanism for such disparate concepts as deviance detection, motor planning, expectation, and imagination of events.
Keywords:
Cognition,
Perception,
predictive coding
Conference:
XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011.
Presentation Type:
Introduction
Topic:
Symposium 2: Predictive coding in perception and cognition
Citation:
SanMiguel
I and
Winkler
I
(2011). Predictive coding in perception and cognition.
Conference Abstract:
XI International Conference on Cognitive Neuroscience (ICON XI).
doi: 10.3389/conf.fnhum.2011.207.00015
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Received:
03 Nov 2011;
Published Online:
08 Nov 2011.
*
Correspondence:
Dr. Iria SanMiguel, Leipzig University, Leipzig, Germany, isanmiguel@ub.edu