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

Title: Beyond dimension reduction: Stable electric fields emerge from and allow representational drift
Authors: Pinotsis, Dimitris A; Miller, Earl K
Contributors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Source: Elsevier
Publisher Information: Elsevier BV
Publication Year: 2023
Collection: DSpace@MIT (Massachusetts Institute of Technology)
Description: 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: NeuroImage; https://hdl.handle.net/1721.1/150021; Pinotsis, Dimitris A and Miller, Earl K. 2022. "Beyond dimension reduction: Stable electric fields emerge from and allow representational drift." NeuroImage, 253.
Availability: https://hdl.handle.net/1721.1/150021
Rights: Creative Commons Attribution-NonCommercial-NoDerivs License ; http://creativecommons.org/licenses/by-nc-nd/4.0/
Accession Number: edsbas.FF3B40EB
Database: BASE