43
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Human Replay Spontaneously Reorganizes Experience

      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.

          Summary

          Knowledge abstracted from previous experiences can be transferred to aid new learning. Here, we asked whether such abstract knowledge immediately guides the replay of new experiences. We first trained participants on a rule defining an ordering of objects and then presented a novel set of objects in a scrambled order. Across two studies, we observed that representations of these novel objects were reactivated during a subsequent rest. As in rodents, human “replay” events occurred in sequences accelerated in time, compared to actual experience, and reversed their direction after a reward. Notably, replay did not simply recapitulate visual experience, but followed instead a sequence implied by learned abstract knowledge. Furthermore, each replay contained more than sensory representations of the relevant objects. A sensory code of object representations was preceded 50 ms by a code factorized into sequence position and sequence identity. We argue that this factorized representation facilitates the generalization of a previously learned structure to new objects.

          Graphical Abstract

          Highlights

          • As in rodents, human replay occurs during rest and reverses direction after reward

          • As in rodents, human replay coincides with hippocampal sharp-wave ripples

          • Human replay spontaneously reorganizes experience based on learned structure

          • Human replay is factorized, allowing fast structural generalization

          Abstract

          In the human hippocampus, neural activity known as sequential replay includes both item-specific and generalizable abstract representations and spontaneously reorders sequences to integrate past knowledge with current experiences during rest.

          Related collections

          Most cited references42

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

          Memory, navigation and theta rhythm in the hippocampal-entorhinal system.

          Theories on the functions of the hippocampal system are based largely on two fundamental discoveries: the amnestic consequences of removing the hippocampus and associated structures in the famous patient H.M. and the observation that spiking activity of hippocampal neurons is associated with the spatial position of the rat. In the footsteps of these discoveries, many attempts were made to reconcile these seemingly disparate functions. Here we propose that mechanisms of memory and planning have evolved from mechanisms of navigation in the physical world and hypothesize that the neuronal algorithms underlying navigation in real and mental space are fundamentally the same. We review experimental data in support of this hypothesis and discuss how specific firing patterns and oscillatory dynamics in the entorhinal cortex and hippocampus can support both navigation and memory.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            How to grow a mind: statistics, structure, and abstraction.

            In coming to understand the world-in learning concepts, acquiring language, and grasping causal relations-our minds make inferences that appear to go far beyond the data available. How do we do it? This review describes recent approaches to reverse-engineering human learning and cognitive development and, in parallel, engineering more humanlike machine learning systems. Computational models that perform probabilistic inference over hierarchies of flexibly structured representations can address some of the deepest questions about the nature and origins of human thought: How does abstract knowledge guide learning and reasoning from sparse data? What forms does our knowledge take, across different domains and tasks? And how is that abstract knowledge itself acquired?
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Awake hippocampal sharp-wave ripples support spatial memory.

              The hippocampus is critical for spatial learning and memory. Hippocampal neurons in awake animals exhibit place field activity that encodes current location, as well as sharp-wave ripple (SWR) activity during which representations based on past experiences are often replayed. The relationship between these patterns of activity and the memory functions of the hippocampus is poorly understood. We interrupted awake SWRs in animals learning a spatial alternation task. We observed a specific learning and performance deficit that persisted throughout training. This deficit was associated with awake SWR activity, as SWR interruption left place field activity and post-experience SWR reactivation intact. These results provide a link between awake SWRs and hippocampal memory processes, which suggests that awake replay of memory-related information during SWRs supports learning and memory-guided decision-making.
                Bookmark

                Author and article information

                Contributors
                Journal
                Cell
                Cell
                Cell
                Cell Press
                0092-8674
                1097-4172
                25 July 2019
                25 July 2019
                : 178
                : 3
                : 640-652.e14
                Affiliations
                [1 ]Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3AR, UK
                [2 ]Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, UK
                [3 ]DeepMind, London, UK
                [4 ]Wellcome Centre for Integrative Neuroimaging, Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, Oxford OX3 9DU, UK
                Author notes
                []Corresponding author yunzhe.liu.16@ 123456ucl.ac.uk
                [5]

                Senior author

                [6]

                Lead Contact

                Article
                S0092-8674(19)30640-3
                10.1016/j.cell.2019.06.012
                6657653
                31280961
                3a242d04-8a12-4309-92dc-65fffb7ae690
                © 2019 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 23 November 2018
                : 29 March 2019
                : 5 June 2019
                Categories
                Article

                Cell biology
                replay,preplay,generalization,inference,factorized representation,transfer learning,hippocampus,place cells,grid cells,meg

                Comments

                Comment on this article