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超越降维:稳定电场源于并允许表征漂移。

Beyond dimension reduction: Stable electric fields emerge from and allow representational drift.

作者信息

Pinotsis Dimitris A, Miller Earl K

机构信息

Centre for Mathematical Neuroscience and Psychology and Department of Psychology, City-University of London, London EC1V 0HB, United Kingdom; The Picower Institute for Learning and Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

The Picower Institute for Learning and Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

出版信息

Neuroimage. 2022 Jun;253:119058. doi: 10.1016/j.neuroimage.2022.119058. Epub 2022 Mar 8.

Abstract

It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.

摘要

众所周知,维持特定记忆的精确神经元(神经集合)在每次试验中都会发生变化。这就引出了一个问题:面对这种表征漂移,大脑是如何实现稳定性的。在这里,我们证明这种稳定性出现在神经活动产生的电场层面。我们表明电场携带有关工作记忆内容的信息。反过来,电场可以充当“护栏”,沿着稳定的低维路径引导高维可变神经活动。我们获得了与每个记忆相关的潜在空间。然后,我们通过将潜在空间映射到不同的皮质区域(组成一个神经集合)并重建区域间的信息流,证实了电场的稳定性。符合现代记忆痕迹理论的是,稳定的电场可以使潜在状态在脑区之间转移。

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