Controlling neural network responsiveness: tradeoffs and constraints.
Controlling neural network responsiveness: tradeoffs and constraints.
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DOI：
10.3389/fneng.2014.00011
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Marom S
中科院分区：
文献类型：
--
作者：
Keren H;Marom S
近年来，在开发先进医学应用的背景下，人们在控制全脑水平神经群体反应的方法上投入了大量精力。然而，由于研究全脑动力学带来的明显并发症，所涉及的权衡和限制仍然难以捉摸。在这里，我们提出了在体外多个小时内对皮层网络的响应特征（概率和潜伏期）的有效控制，并将这种方法作为在更广泛的背景下研究神经网络可控性的实验玩具。通过运用这种方法，我们表明通过闭环控制强制执行稳定的高活动率可能会增强潜在的全局输入输出关系的改变以及整个网络中神经元成对相关性的活动依赖性分散。
In recent years much effort is invested in means to control neural population responses at the whole brain level, within the context of developing advanced medical applications. The tradeoffs and constraints involved, however, remain elusive due to obvious complications entailed by studying whole brain dynamics. Here, we present effective control of response features (probability and latency) of cortical networks in vitro over many hours, and offer this approach as an experimental toy for studying controllability of neural networks in the wider context. Exercising this approach we show that enforcement of stable high activity rates by means of closed loop control may enhance alteration of underlying global input–output relations and activity dependent dispersion of neuronal pair-wise correlations across the network.