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      The free-energy principle: a unified brain theory?

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      Nature reviews. Neuroscience
      Springer Science and Business Media LLC

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          Abstract

          A free-energy principle has been proposed recently that accounts for action, perception and learning. This Review looks at some key brain theories in the biological (for example, neural Darwinism) and physical (for example, information theory and optimal control theory) sciences from the free-energy perspective. Crucially, one key theme runs through each of these theories - optimization. Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) or its complement, surprise (prediction error, expected cost). This is the quantity that is optimized under the free-energy principle, which suggests that several global brain theories might be unified within a free-energy framework.

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          Most cited references4

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          Principles of the self-organizing dynamic system.

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            A non-equilibrium free energy theorem for deterministic systems

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              Brain dynamics across levels of organization.

              After initially presenting evidence that the electrical activity recorded from the brain surface can reflect metastable state transitions of neuronal configurations at the mesoscopic level, I will suggest that their patterns may correspond to the distinctive spatio-temporal activity in the dynamic core (DC) and the global neuronal workspace (GNW), respectively, in the models of the Edelman group on the one hand, and of Dehaene-Changeux, on the other. In both cases, the recursively reentrant activity flow in intra-cortical and cortical-subcortical neuron loops plays an essential and distinct role. Reasons will be given for viewing the temporal characteristics of this activity flow as signature of self-organized criticality (SOC), notably in reference to the dynamics of neuronal avalanches. This point of view enables the use of statistical physics approaches for exploring phase transitions, scaling and universality properties of DC and GNW, with relevance to the macroscopic electrical activity in EEG and EMG.
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                Author and article information

                Journal
                Nat Rev Neurosci
                Nature reviews. Neuroscience
                Springer Science and Business Media LLC
                1471-0048
                1471-003X
                Feb 2010
                : 11
                : 2
                Affiliations
                [1 ] The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London, WC1N 3BG, UK. k.friston@fil.ion.ucl.ac.uk
                Article
                nrn2787
                10.1038/nrn2787
                20068583
                d4472780-a7f7-4656-b00b-5f810409f099
                History

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