Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Finding The Engram., Sheena A Josselyn, Stefan Köhler, Paul W Frankland
Finding The Engram., Sheena A Josselyn, Stefan Köhler, Paul W Frankland
Brain and Mind Institute Researchers' Publications
Many attempts have been made to localize the physical trace of a memory, or engram, in the brain. However, until recently, engrams have remained largely elusive. In this Review, we develop four defining criteria that enable us to critically assess the recent progress that has been made towards finding the engram. Recent 'capture' studies use novel approaches to tag populations of neurons that are active during memory encoding, thereby allowing these engram-associated neurons to be manipulated at later times. We propose that findings from these capture studies represent considerable progress in allowing us to observe, erase and express the engram.
Attentional Filtering Of Visual Information By Neuronal Ensembles In The Primate Lateral Prefrontal Cortex., Sébastien Tremblay, Florian Pieper, Adam Sachs, Julio Martinez-Trujillo
Attentional Filtering Of Visual Information By Neuronal Ensembles In The Primate Lateral Prefrontal Cortex., Sébastien Tremblay, Florian Pieper, Adam Sachs, Julio Martinez-Trujillo
Brain and Mind Institute Researchers' Publications
The activity of neurons in the primate lateral prefrontal cortex (LPFC) is strongly modulated by visual attention. Such a modulation has mostly been documented by averaging the activity of independently recorded neurons over repeated experimental trials. However, in realistic settings, ensembles of simultaneously active LPFC neurons must generate attentional signals on a single-trial basis, despite the individual and correlated variability of neuronal responses. Whether, under these circumstances, the LPFC can reliably generate attentional signals is unclear. Here, we show that the simultaneous activity of neuronal ensembles in the primate LPFC can be reliably decoded to predict the allocation of attention …