Information theory, novelty and hippocampal responses: unpredicted or unpredictable?

Shannon's information theory provides a principled framework for the quantitative analysis of brain responses during the encoding and representation of event streams. In particular, entropy measures the expected uncertainty of events in a given context. This contextual uncertainty or unpredicta...

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Veröffentlicht in:	Neural networks 2005-04, Vol.18 (3), p.225-230
Hauptverfasser:	Strange, Bryan A., Duggins, Andrew, Penny, William, Dolan, Raymond J., Friston, Karl J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Applied sciences Brain Mapping Cerebral Cortex - physiology Cognition - physiology Entropy Exact sciences and technology Exploratory Behavior - physiology Female Functional magnetic resonancce imaging Hippocampus Hippocampus - physiology Humans Information Theory Information, signal and communications theory Magnetic Resonance Imaging Male Memory - physiology Models, Neurological Neural Pathways - physiology Nonlinear Dynamics Novelty Perception - physiology Photic Stimulation Predictive coding Predictive Value of Tests Surprise Telecommunications and information theory Visual Pathways - physiology
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