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How Network Constituents Influence Temporal Pattern Formation Within In Vitro Neural Networks

网络成分如何影响体外神经网络中的时间模式形成

基本信息

批准号：
1205919
负责人：
Rhonda Dzakpasu
金额：
$ 47.77万
依托单位：
Georgetown University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-01 至 2016-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1205919&HistoricalAwards=false
关键词：
How Network Constituents Influence Temporal

项目摘要

In this project, the PI will study how the diversity of the constituents influence the principles of self-organization that underlie network phenomena. As the fraction of inhibitory neurons within a network of excitatory and inhibitory Neurons changes, the PI hypothesizes that one can elucidate the underlying functional rules that are present despite the absence of native anatomy. Using multi-electrode arrays the PI will characterize network dynamical function to generate new testable hypotheses. This project will address a fundamental question: How does modulating the excitatory/inhibitory (E/I) ratio influence synaptic tuning to adapt while maintaining a stable state? In this project the PI will vary this ratio by adding striatal cells (inhibitory) to single cell suspensions of hippocampal (excitatory) neurons and record spontaneous electrical network activity. The excitability will be increased by using a pharmacological paradigm for long-term potentiation, a mechanism believed to be the cellular basis of learning and memory. Immunostaining and confocal microscopy imaging studies will assess the distribution of synapses for these ratios. The proposed study will not only increase our understanding from an experimental perspective of how robustness and adaptability can coexist in networks of neurons, but results will provide a framework that can be used to develop realistic computational models. These techniques and concepts will be disseminated to a broader audience to students from Howard University as well as underrepresented minority students at the Marine Biological Laboratory (MBL) in Woods Hole, MA. Undergraduate and graduate education will be impacted through the teaching of the Research Modules for the Cognitive Science undergraduate program and the Neurons in Action 2 summer workshop that encompasses graduate students from Howard University and incoming Georgetown University graduate students in the Interdisciplinary Program in Neuroscience.

在这个项目中，PI将研究成分的多样性如何影响作为网络现象基础的自组织原理。随着兴奋性和抑制性神经元网络中抑制性神经元的比例发生变化，PI假设一个人可以阐明潜在的功能规则，尽管没有天然的解剖学。利用多电极阵列，PI将表征网络动态函数，以产生新的可测试假设。这个项目将解决一个基本的问题：调节兴奋性/抑制性(E/I)比率如何影响突触调整以适应保持稳定状态？在这个项目中，PI将通过将纹状体细胞(抑制性)添加到海马神经元(兴奋)的单细胞悬浮液中来改变这一比率，并记录自发的电网络活动。通过使用长期增强的药理学范例，兴奋性将会增加，这一机制被认为是学习和记忆的细胞基础。免疫染色和共聚焦显微镜成像研究将根据这些比率评估突触的分布。这项拟议的研究不仅将从实验角度增加我们对神经元网络中健壮性和适应性如何共存的理解，而且结果将提供一个框架，可用于开发现实的计算模型。这些技术和概念将向霍华德大学的学生以及马萨诸塞州伍兹霍尔海洋生物实验室(MBL)未被充分代表的少数族裔学生传播给更广泛的受众。本科生和研究生教育将通过传授认知科学本科生计划的研究模块和包括霍华德大学研究生和乔治敦大学神经科学跨学科计划研究生在内的神经元在行动2暑期研讨会上受到影响。