Dynamic and selective engrams emerge with memory consolidation

英语 记忆巩固 光遗传学 召回 神经科学 心理学 合并(业务) 突触可塑性 计算机科学 认知心理学 生物 海马体 生物化学 会计 业务 受体
作者
Douglas Feitosa Tomé,Ying Zhang,Tomomi Aida,Sadra Sadeh,Dheeraj S. Roy,Claudia Clopath
标识
DOI:10.1101/2022.03.13.484167
摘要

Abstract Episodic memories are encoded by sparse populations of neurons activated during an experience. 1 These neural ensembles constitute memory engrams that are both necessary and sufficient for inducing recall even long after memory acquisition. 2 This suggests that following encoding, engrams are stabilized to reliably support memory retrieval. However, little is known about the temporal evolution of engrams over the course of memory consolidation or how it impacts mnemonic properties. Here we employed computational and experimental approaches to examine how the composition and selectivity of engrams change with memory consolidation. We modeled engram cells using a spiking recurrent neural network that yielded three testable predictions: memories transition from unselective to selective as neurons are removed from and added to the engram, inhibitory activity during recall is essential for memory selectivity, and inhibitory synaptic plasticity during memory consolidation is critical for engrams to become selective. Using the Cal-Light system to tag activated neurons in vivo with high spatiotemporal precision 3 as well as optogenetic and chemogenetic techniques, we conducted contextual fear conditioning experiments that supported each of our model’s predictions. Our results reveal that engrams are dynamic even within hours of memory consolidation and that changes in engram composition mediated by inhibitory synaptic plasticity are crucial for the emergence of memory selectivity. These findings challenge classical theories of stable memory traces and point to a close link between engram state and memory expression.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
sjxbjrndkd完成签到 ,获得积分10
1秒前
顾矜应助lucygaga采纳,获得10
2秒前
小马甲应助苏州小北采纳,获得10
2秒前
huang发布了新的文献求助10
2秒前
米儿发布了新的文献求助10
3秒前
5秒前
NEAC完成签到 ,获得积分10
6秒前
Felix完成签到,获得积分10
6秒前
6秒前
张占完成签到,获得积分10
9秒前
huang完成签到,获得积分10
10秒前
小白先生完成签到,获得积分10
10秒前
lcx发布了新的文献求助10
12秒前
14秒前
15秒前
Agan完成签到,获得积分10
16秒前
yk发布了新的文献求助10
16秒前
177完成签到,获得积分10
17秒前
敏感的香氛完成签到 ,获得积分10
17秒前
阿桃狸子完成签到,获得积分10
19秒前
lucygaga发布了新的文献求助10
19秒前
yayabing完成签到,获得积分10
20秒前
Lucas应助lcx采纳,获得10
21秒前
21秒前
HX应助科研通管家采纳,获得10
21秒前
英俊的铭应助科研通管家采纳,获得10
22秒前
传奇3应助科研通管家采纳,获得10
22秒前
上官若男应助科研通管家采纳,获得10
22秒前
田様应助科研通管家采纳,获得10
22秒前
HX应助科研通管家采纳,获得10
22秒前
shinysparrow应助科研通管家采纳,获得10
22秒前
无花果应助科研通管家采纳,获得10
22秒前
22秒前
无花果应助科研通管家采纳,获得10
22秒前
SciGPT应助科研通管家采纳,获得10
22秒前
爆米花应助科研通管家采纳,获得10
22秒前
完美世界应助科研通管家采纳,获得20
22秒前
22秒前
快乐排骨汤完成签到 ,获得积分10
23秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 700
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
A radiographic standard of reference for the growing knee 400
Glossary of Geology 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2474361
求助须知:如何正确求助?哪些是违规求助? 2139407
关于积分的说明 5452184
捐赠科研通 1863189
什么是DOI,文献DOI怎么找? 926351
版权声明 562833
科研通“疑难数据库(出版商)”最低求助积分说明 495538