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一种“基于尖峰”的语法是网络连接中方向修饰的基础:对突发活动的影响及其对生物混合系统的意义。

A "spike-based" grammar underlies directional modification in network connectivity: effect on bursting activity and implications for bio-hybrids systems.

机构信息

Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.

出版信息

PLoS One. 2012;7(11):e49299. doi: 10.1371/journal.pone.0049299. Epub 2012 Nov 8.

Abstract

Developed biological systems are endowed with the ability of interacting with the environment; they sense the external state and react to it by changing their own internal state. Many attempts have been made to build 'hybrids' with the ability of perceiving, modifying and reacting to external modifications. Investigation of the rules that govern network changes in a hybrid system may lead to finding effective methods for 'programming' the neural tissue toward a desired task. Here we show a new perspective in the use of cortical neuronal cultures from embryonic mouse as a working platform to study targeted synaptic modifications. Differently from the common timing-based methods applied in bio-hybrids robotics, here we evaluated the importance of endogenous spike timing in the information processing. We characterized the influence of a spike-patterned stimulus in determining changes in neuronal synchronization (connectivity strength and precision) of the evoked spiking and bursting activity in the network. We show that tailoring the stimulation pattern upon a neuronal spike timing induces the network to respond stronger and more precisely to the stimulation. Interestingly, the induced modifications are conveyed more consistently in the burst timing. This increase in strength and precision may be a key in the interaction of the network with the external world and may be used to induce directional changes in bio-hybrid systems.

摘要

已开发的生物系统具有与环境相互作用的能力;它们能够感知外部状态,并通过改变自身的内部状态来对此做出反应。人们已经尝试构建具有感知、修改和对外部修改做出反应能力的“杂种”。研究控制杂种系统中网络变化的规则可能会找到对神经组织进行“编程”以实现预期任务的有效方法。在这里,我们展示了一种新的视角,即利用来自胚胎期小鼠的皮质神经元培养物作为工作平台来研究靶向突触修饰。与生物杂种机器人中常用的基于时间的方法不同,我们在这里评估了内源性尖峰定时在信息处理中的重要性。我们描述了模式化刺激对神经元同步(诱发尖峰和爆发活动的连接强度和精度)的影响。我们表明,根据神经元尖峰定时定制刺激模式会导致网络对刺激的反应更强、更精确。有趣的是,在爆发定时中传递的诱导修饰更为一致。这种强度和精度的增加可能是网络与外部世界相互作用的关键,并且可用于诱导生物杂种系统中的定向变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4167/3493547/3b7906e5b4bb/pone.0049299.g001.jpg

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