Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex predicted by deep learning of experimental recordings
A deep learning model trained on roughly 2,600 synaptic traces from hippocampal electrophysiology datasets demonstrates how specific covariates influence synaptic signals.
Main Authors: | Keivan Moradi, Zainab Aldarraji, Megha Luthra, Grey P. Madison, Giorgio A. Ascoli |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-05-01
|
Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-022-03329-5 |
Similar Items
-
THE SYNAPTIC ORGANIZATION OF THE HUMAN ENTORHINAL CORTEX: AN ULTRASTRUCTURAL STUDY OF THE GATEWAY TO HIPPOCAMPUS
by: Sergio Plaza-Alonso, et al.
Published: (2023-10-01) -
The contributions of entorhinal cortex and hippocampus to error driven learning
by: Shih-pi Ku, et al.
Published: (2021-05-01) -
Independent delta/theta rhythms in the human hippocampus and entorhinal cortex
by: Florian Mormann, et al.
Published: (2008-05-01) -
SYSTEMS CONSOLIDATION CLIMBS PHYLOGENY, FROM HIPPOCAMPUS TO THE ENTORHINAL CORTEX, AND THEN TO INFRALIMBIC CORTEX
by: Jorge Quillfeldt, et al.
Published: (2023-10-01) -
Involvement of the hippocampus, amygdala, entorhinal cortex and posterior parietal cortex in memory consolidation
by: M.S. Zanatta, et al.
Published: (1997-02-01)