生成重放是海马-前额叶回路中组合推理的基础。

Generative replay underlies compositional inference in the hippocampal-prefrontal circuit.

机构信息

University of Tübingen, Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Baden-Württemberg, Germany; Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3AR, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.

Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.

出版信息

Cell. 2023 Oct 26;186(22):4885-4897.e14. doi: 10.1016/j.cell.2023.09.004. Epub 2023 Oct 6.

Abstract

Human reasoning depends on reusing pieces of information by putting them together in new ways. However, very little is known about how compositional computation is implemented in the brain. Here, we ask participants to solve a series of problems that each require constructing a whole from a set of elements. With fMRI, we find that representations of novel constructed objects in the frontal cortex and hippocampus are relational and compositional. With MEG, we find that replay assembles elements into compounds, with each replay sequence constituting a hypothesis about a possible configuration of elements. The content of sequences evolves as participants solve each puzzle, progressing from predictable to uncertain elements and gradually converging on the correct configuration. Together, these results suggest a computational bridge between apparently distinct functions of hippocampal-prefrontal circuitry and a role for generative replay in compositional inference and hypothesis testing.

摘要

人类的推理依赖于通过以新的方式将信息组合在一起来重复使用信息。然而,对于组合计算如何在大脑中实现,人们知之甚少。在这里,我们要求参与者解决一系列问题,每个问题都需要从一组元素构建一个整体。通过 fMRI,我们发现前额叶皮层和海马体中新颖构建物体的表示是关系和组合的。通过 MEG,我们发现重放将元素组合成化合物,每个重放序列构成关于元素可能配置的假设。随着参与者解决每个谜题,序列的内容会发生变化,从可预测的元素到不确定的元素,并逐渐收敛到正确的配置。总之,这些结果表明,海马-前额叶回路的明显不同功能之间存在计算桥梁,生成性重放在组合推理和假设检验中起作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2df/10914680/e75f391678af/fx1.jpg

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