Search for authorsSearch for similar articles
13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Making and breaking symmetries in mind and life

      introduction

      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

          Symmetry is a motif featuring in almost all areas of science. Symmetries appear throughout the natural world, making them particularly important in our quest to understand the structure of the world around us. Symmetries and invariances are often first principles pointing to some lawful description of an observation, with explanations being understood as both ‘satisfying’ and potentially useful in their regularity. The sense of aesthetic beauty accompanying such explanations is reminiscent of our understanding of intelligence in terms of the ability to efficiently predict (or compress) data; indeed, identifying and building on symmetry can offer a particularly elegant description of a physical situation. The study of symmetries is so fundamental to mathematics and physics that one might ask where else it proves useful. This theme issue poses the question: what does the study of symmetry, and symmetry breaking, have to offer for the study of life and the mind?

          Related collections

          Most cited references101

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

          The free-energy principle: a unified brain theory?

          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.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            More is different.

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

              Flux balance analysis of biological systems: applications and challenges.

              Systems level modelling and simulations of biological processes are proving to be invaluable in obtaining a quantitative and dynamic perspective of various aspects of cellular function. In particular, constraint-based analyses of metabolic networks have gained considerable popularity for simulating cellular metabolism, of which flux balance analysis (FBA), is most widely used. Unlike mechanistic simulations that depend on accurate kinetic data, which are scarcely available, FBA is based on the principle of conservation of mass in a network, which utilizes the stoichiometric matrix and a biologically relevant objective function to identify optimal reaction flux distributions. FBA has been used to analyse genome-scale reconstructions of several organisms; it has also been used to analyse the effect of perturbations, such as gene deletions or drug inhibitions in silico. This article reviews the usefulness of FBA as a tool for gaining biological insights, advances in methodology enabling integration of regulatory information and thermodynamic constraints, and finally addresses the challenges that lie ahead. Various use scenarios and biological insights obtained from FBA, and applications in fields such metabolic engineering and drug target identification, are also discussed. Genome-scale constraint-based models have an immense potential for building and testing hypotheses, as well as to guide experimentation.
                Bookmark

                Author and article information

                Contributors
                Role: Writing – original draft
                Role: Writing – original draft
                Role: Writing – original draft
                Role: Writing – original draft
                Role: Writing – original draft
                Role: Writing – original draft
                Journal
                Interface Focus
                Interface Focus
                RSFS
                royfocus
                Interface Focus
                The Royal Society
                2042-8898
                2042-8901
                April 14, 2023
                6 June 2023
                April 14, 2023
                : 13
                : 3 , Theme issue ‘Making and breaking symmetries in mind and life’ organised by Adam Safron, Michael Levin, Adeel Razi, Zahra Sheikhbahaee, Dalton Sakthivadivel and Magnus Bein
                : 20230015
                Affiliations
                [ 1 ] Center for Psychedelic and Consciousness Research, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, , Baltimore, MD 21224, USA
                [ 2 ] Institute for Advanced Consciousness Studies, , Santa Monica, CA 90403, USA
                [ 3 ] Cognitive Science Program, Indiana University, , Bloomington, IN 47405, USA
                [ 4 ] VERSES Research Lab, , Los Angeles, CA 90016, USA
                [ 5 ] Departments of Mathematics, Physics and Astronomy, and Biomedical Engineering, Stony Brook University, , Stony Brook, NY 11794-3651, USA
                [ 6 ] David R. Cheriton School of Computer Science, University of Waterloo, , Waterloo, Ontario, Canada, N2L 3G1
                [ 7 ] Department of Biology and Department of Psychiatry, McGill University, , Montreal, Quebec, Canada, H3A 0G4
                [ 8 ] Turner Institute for Brain and Mental Health, Monash University, , Clayton, VIC 3800, Australia
                [ 9 ] Monash Biomedical Imaging, Monash University, , Clayton, VIC 3168, Australia
                [ 10 ] Wellcome Centre for Human Neuroimaging, University College London, , London WC1N 3AR, UK
                [ 11 ] CIFAR Azrieli Global Scholars Program, CIFAR, , Toronto, Ontario, Canada, M5G 1M1
                [ 12 ] Tufts Center for Regenerative and Developmental Biology, Tufts University, , Medford, MA 02155-5801, USA
                [ 13 ] Allen Discovery Center, Tufts University, , Medford, MA 02155-5801, USA
                Author notes

                One contribution of 15 to a theme issue ‘ Making and breaking symmetries in mind and life’.

                These authors contributed equally.

                Article
                rsfs20230015
                10.1098/rsfs.2023.0015
                10102725
                2e1e13da-d993-4b01-a04d-4f30f2da5f58
                © 2023 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : March 22, 2023
                : March 22, 2023
                Categories
                1004
                181
                Introduction
                Introduction

                Life sciences
                symmetry,complex systems,biological physics,machine learning‌
                Life sciences
                symmetry, complex systems, biological physics, machine learning‌

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content130

                Most referenced authors495