Monday, September 19, 2005

Memory-prediction framework 

Memory-prediction framework - Wikipedia, the free encyclopedia
"The memory-prediction framework theory of the brain, created by Jeff Hawkins and described in his book On Intelligence, argues that the brain works mainly by the neocortex's ability to match sensory input to stored patterns and predict what will happen next.

The theory is motivated by the observed similarities between the brain structures (especially neocortical tissue) which is used for a wide range of behaviour available to mammals. The theory posits that this remarkably uniform physical arrangement of neural tissue reflects a single principle of complexity management which underlies all cortical information processing. The basic processing principle is hypothesized to be a feedback/recall loop which involves both cortical and extra-cortical participation (the latter from the thalamus and the hippocampus in particular).

The memory-prediction framework provides a unified basis for thinking about neurobiology. Although certain brain structures are identified as participants in the core 'algorithm' of prediction-from-memory, these details are less important than the set of principles that are proposed as basis for all high-level cognitive processing."

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