22
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In this paper, we argue for a theoretical separation of the free-energy principle from Helmholtzian accounts of the predictive brain. The free-energy principle is a theoretical framework capturing the imperative for biological self-organization in information-theoretic terms. The free-energy principle has typically been connected with a Bayesian theory of predictive coding, and the latter is often taken to support a Helmholtzian theory of perception as unconscious inference. If our interpretation is right, however, a Helmholtzian view of perception is incompatible with Bayesian predictive coding under the free-energy principle. We argue that the free energy principle and the ecological and enactive approach to mind and life make for a much happier marriage of ideas. We make our argument based on three points. First we argue that the free energy principle applies to the whole animal–environment system, and not only to the brain. Second, we show that active inference, as understood by the free-energy principle, is incompatible with unconscious inference understood as analagous to scientific hypothesis-testing, the main tenet of a Helmholtzian view of perception. Third, we argue that the notion of inference at work in Bayesian predictive coding under the free-energy principle is too weak to support a Helmholtzian theory of perception. Taken together these points imply that the free energy principle is best understood in ecological and enactive terms set out in this paper.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: found
          • Article: not found

          Dynamic predictions: oscillations and synchrony in top-down processing.

          Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Intelligence without representation

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Life as we know it

              This paper presents a heuristic proof (and simulations of a primordial soup) suggesting that life—or biological self-organization—is an inevitable and emergent property of any (ergodic) random dynamical system that possesses a Markov blanket. This conclusion is based on the following arguments: if the coupling among an ensemble of dynamical systems is mediated by short-range forces, then the states of remote systems must be conditionally independent. These independencies induce a Markov blanket that separates internal and external states in a statistical sense. The existence of a Markov blanket means that internal states will appear to minimize a free energy functional of the states of their Markov blanket. Crucially, this is the same quantity that is optimized in Bayesian inference. Therefore, the internal states (and their blanket) will appear to engage in active Bayesian inference. In other words, they will appear to model—and act on—their world to preserve their functional and structural integrity, leading to homoeostasis and a simple form of autopoiesis.
                Bookmark

                Author and article information

                Contributors
                +31 (0)20 5258047 , j.bruineberg@gmail.com
                j.d.kiverstein@amc.uva.nl , http://www.juliankiverstein.com
                d.w.rietveld@amc.uva.nl , http://www.erikrietveld.com
                Journal
                Synthese
                Synthese
                Synthese
                Springer Netherlands (Dordrecht )
                0039-7857
                1573-0964
                21 October 2016
                21 October 2016
                2018
                : 195
                : 6
                : 2417-2444
                Affiliations
                [1 ]ISNI 0000000084992262, GRID grid.7177.6, Institute for Logic, Language and Computation (ILLC), , University of Amsterdam, ; Oude Turfmarkt 141, 1012 GC Amsterdam, Netherlands
                [2 ]ISNI 0000000084992262, GRID grid.7177.6, Amsterdam Medical Centre, Department of Psychiatry, , University of Amsterdam, ; 22660, 1100 DD Amsterdam, Netherlands
                [3 ]ISNI 0000000084992262, GRID grid.7177.6, AMC/Dept. of Philosophy/ILLC /Amsterdam Brain and Cognition, , University of Amsterdam, ; Oude Turfmarkt 141, 1012 GC Amsterdam, Netherlands
                Author information
                http://orcid.org/0000-0001-5675-3376
                http://orcid.org/0000-0003-3428-8367
                http://orcid.org/0000-0001-5197-142X
                Article
                1239
                10.1007/s11229-016-1239-1
                6438652
                30996493
                bfe65880-ae11-4a4f-9dd8-f03ac3738321
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 15 February 2016
                : 29 September 2016
                Funding
                Funded by: NWO
                Award ID: 276-20-019
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: ERC-StG679190
                Award Recipient :
                Categories
                S.I.: Predictive Brains
                Custom metadata
                © Springer Science+Business Media B.V., part of Springer Nature 2018

                free-energy principle,predictive-coding,skilled intentionality,affordances,enaction,active inference,action-readiness,metastability

                Comments

                Comment on this article