Beyond dimension reduction: Stable electric fields emerge from and allow representational drift
Name
1-s2.0-S1053811922001872-main.pdf
Description
Published version
Size
3.05 MB
Format
Adobe PDF
Checksum (MD5)
3a374d9ebf8b0b64e1ef4dd3d0258ac5
Author(s)
Pinotsis, Dimitris A
Miller, Earl K
Date Issued
2022
Journal
NeuroImage
Publisher
Elsevier BV
Citation
Pinotsis, Dimitris A and Miller, Earl K. 2022. "Beyond dimension reduction: Stable electric fields emerge from and allow representational drift." NeuroImage, 253.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.NEUROIMAGE.2022.119058
