On memories, neural ensembles and mental flexibility
Name
nihms885304.pdf
Description
Accepted version
Size
3.82 MB
Format
Adobe PDF
Checksum (MD5)
ae1da97b014ac2582b7cd6dbd05a7bff
Author(s)
Pinotsis, Dimitris A.
Brincat, Scott Louis
Miller, Earl K
Date Issued
June 2017
Journal
NeuroImage
Publisher
Elsevier BV
Citation
Pinotsis, Dimitris A. et al., "On memories, neural ensembles and mental flexibility." NeuroImage 157 (August 2017): p. 297-313 doi. 10.1016/j.neuroimage.2017.05.068 ©2017 Authors
Version
Author's final manuscript
Abstract
Memories are assumed to be represented by groups of co-activated neurons, called neural ensembles. Describing ensembles is a challenge: complexity of the underlying micro-circuitry is immense. Current approaches use a piecemeal fashion, focusing on single neurons and employing local measures like pairwise correlations. We introduce an alternative approach that identifies ensembles and describes the effective connectivity between them in a holistic fashion. It also links the oscillatory frequencies observed in ensembles with the spatial scales at which activity is expressed. Using unsupervised learning, biophysical modeling and graph theory, we analyze multi-electrode LFPs from frontal cortex during a spatial delayed response task. We find distinct ensembles for different cues and more parsimonious connectivity for cues on the horizontal axis, which may explain the oblique effect in psychophysics. Our approach paves the way for biophysical models with learned parameters that can guide future Brain Computer Interface development. ©2017 Elsevier Inc.
MIT Department
Picower Institute for Learning and Memory
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.2017.05.068
