Dynamic prediction of goal location by coordinated representation of prefrontal-hippocampal theta sequences

海马结构 代表(政治) 海马体 神经科学 前额叶皮质 计算机科学 空间记忆 生物 人工智能 机器学习 工作记忆 认知 政治 政治学 法学
作者
Yimeng Wang,Xueling Wang,Ling Wang,Zheng Li,Shuang Meng,Nan Zhu,Xingwei An,Lei Wang,Jiajia Yang,Chenguang Zheng,Dong Ming
出处
期刊:Current Biology [Elsevier]
卷期号:34 (9): 1866-1879.e6
标识
DOI:10.1016/j.cub.2024.03.032
摘要

Prefrontal (PFC) and hippocampal (HPC) sequences of neuronal firing modulated by theta rhythms could represent upcoming choices during spatial memory-guided decision-making. How the PFC-HPC network dynamically coordinates theta sequences to predict specific goal locations and how it is interrupted in memory impairments induced by amyloid beta (Aβ) remain unclear. Here, we detected theta sequences of firing activities of PFC neurons and HPC place cells during goal-directed spatial memory tasks. We found that PFC ensembles exhibited predictive representation of the specific goal location since the starting phase of memory retrieval, earlier than the hippocampus. High predictive accuracy of PFC theta sequences existed during successful memory retrieval and positively correlated with memory performance. Coordinated PFC-HPC sequences showed PFC-dominant prediction of goal locations during successful memory retrieval. Furthermore, we found that theta sequences of both regions still existed under Aβ accumulation, whereas their predictive representation of goal locations was weakened with disrupted spatial representation of HPC place cells and PFC neurons. These findings highlight the essential role of coordinated PFC-HPC sequences in successful memory retrieval of a precise goal location.
最长约 10秒,即可获得该文献文件

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
1秒前
开心消消乐完成签到,获得积分20
2秒前
Daydayup完成签到 ,获得积分10
3秒前
怡然依萱发布了新的文献求助10
3秒前
fsdgsd完成签到 ,获得积分10
3秒前
祁i发布了新的文献求助10
3秒前
leezy发布了新的文献求助10
4秒前
JHGG应助科研通管家采纳,获得30
4秒前
小马甲应助科研通管家采纳,获得10
4秒前
CipherSage应助科研通管家采纳,获得10
4秒前
4秒前
天天快乐应助科研通管家采纳,获得10
4秒前
FashionBoy应助科研通管家采纳,获得10
4秒前
4秒前
小二郎应助科研通管家采纳,获得10
4秒前
英俊的铭应助科研通管家采纳,获得10
4秒前
Orange应助科研通管家采纳,获得10
4秒前
斯文败类应助科研通管家采纳,获得10
4秒前
wulixin发布了新的文献求助10
6秒前
JHGG应助shen采纳,获得30
6秒前
王军鹏发布了新的文献求助10
7秒前
Jasmineyfz完成签到 ,获得积分10
8秒前
Yff完成签到,获得积分10
8秒前
8秒前
科研通AI2S应助dinamo采纳,获得10
10秒前
11秒前
zyjsunye发布了新的文献求助20
11秒前
温柔凝竹发布了新的文献求助10
12秒前
ding应助yong采纳,获得10
12秒前
12秒前
12秒前
无所谓啊完成签到 ,获得积分10
12秒前
星夜发布了新的文献求助10
14秒前
batmanrobin发布了新的文献求助10
15秒前
15秒前
王军鹏完成签到,获得积分10
16秒前
犹豫勇完成签到,获得积分10
17秒前
赛德克发布了新的文献求助10
19秒前
21秒前
独角大盗完成签到,获得积分10
22秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
大平正芳: 「戦後保守」とは何か 550
2019第三届中国LNG储运技术交流大会论文集 500
Contributo alla conoscenza del bifenile e dei suoi derivati. Nota XV. Passaggio dal sistema bifenilico a quello fluorenico 500
Multiscale Thermo-Hydro-Mechanics of Frozen Soil: Numerical Frameworks and Constitutive Models 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2998820
求助须知:如何正确求助?哪些是违规求助? 2659247
关于积分的说明 7200130
捐赠科研通 2294918
什么是DOI,文献DOI怎么找? 1216901
科研通“疑难数据库(出版商)”最低求助积分说明 593634
版权声明 592904