Faculty Opinions recommendation of Functionally Distinct Neuronal Ensembles within the Memory Engram.

Author(s):  
Lu Chen
2019 ◽  
Author(s):  
Dheeraj S Roy ◽  
Young-Gyun Park ◽  
Sachie K Ogawa ◽  
Jae H Cho ◽  
Heejin Choi ◽  
...  

Neuronal ensembles that hold specific memory (memory engrams) have been identified in the hippocampus, amygdala, and cortex. It has been hypothesized that engrams for a specific memory are distributed among multiple brain regions that are functionally connected. Here, we report the hitherto most extensive engram map for contextual fear memory by characterizing activity-tagged neurons in 409 regions using SHIELD-based tissue phenotyping. The mapping was aided by a novel engram index, which identified cFos+ brain regions holding engrams with a high probability. Optogenetic manipulations confirmed previously known engrams and revealed new engrams. Many of these engram holding-regions were functionally connected to the CA1 or amygdala engrams. Simultaneous chemogenetic reactivation of multiple engrams, which mimics natural memory recall, conferred a greater level of memory recall than reactivation of a single engram ensemble. Overall, our study supports the hypothesis that a memory is stored in functionally connected engrams distributed across multiple brain regions.


Cell ◽  
2020 ◽  
Vol 181 (2) ◽  
pp. 410-423.e17 ◽  
Author(s):  
Xiaochen Sun ◽  
Max J. Bernstein ◽  
Meizhen Meng ◽  
Siyuan Rao ◽  
Andreas T. Sørensen ◽  
...  

1974 ◽  
Vol 19 (7) ◽  
pp. 524-525 ◽  
Author(s):  
JAMES O'BRIEN
Keyword(s):  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jermyn Z. See ◽  
Natsumi Y. Homma ◽  
Craig A. Atencio ◽  
Vikaas S. Sohal ◽  
Christoph E. Schreiner

AbstractNeuronal activity in auditory cortex is often highly synchronous between neighboring neurons. Such coordinated activity is thought to be crucial for information processing. We determined the functional properties of coordinated neuronal ensembles (cNEs) within primary auditory cortical (AI) columns relative to the contributing neurons. Nearly half of AI cNEs showed robust spectro-temporal receptive fields whereas the remaining cNEs showed little or no acoustic feature selectivity. cNEs can therefore capture either specific, time-locked information of spectro-temporal stimulus features or reflect stimulus-unspecific, less-time specific processing aspects. By contrast, we show that individual neurons can represent both of those aspects through membership in multiple cNEs with either high or absent feature selectivity. These associations produce functionally heterogeneous spikes identifiable by instantaneous association with different cNEs. This demonstrates that single neuron spike trains can sequentially convey multiple aspects that contribute to cortical processing, including stimulus-specific and unspecific information.


Nature ◽  
2008 ◽  
Vol 456 (7218) ◽  
pp. 102-106 ◽  
Author(s):  
Germán Sumbre ◽  
Akira Muto ◽  
Herwig Baier ◽  
Mu-ming Poo

2021 ◽  
Vol 67 ◽  
pp. 199-206
Author(s):  
Brian M Sweis ◽  
William Mau ◽  
Sima Rabinowitz ◽  
Denise J Cai

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