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首页> 外文会议>BioMEMS and Nanotechnology II; Progress in Biomedical Optics and Imaging; vol.6 no.40 >Interaction and intelligence in living neuronal networks interfaced with moving robot
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Interaction and intelligence in living neuronal networks interfaced with moving robot

机译：与移动机器人交互的活神经网络中的交互和智能

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摘要

Neurons form complex networks and it seems that the living neuronal network can perform certain type of information processing. We are interested in intelligence autonomously formed in vitro. The most important features of the two-dimensional culture neural network are that it is a system in which the information processing is autonomously carries out. We reported previously that the functional connections were dynamically modified by synaptic potentiation and the process may be required for reorganization of the functional group of neurons. Such neuron assemblies are critical for information processing in brain. Certain types of feedback stimulation caused suppression of spontaneous network electrical activities and drastic re-organization of functional connections between neurons, when these activities are initially almost synchronized. The result suggests that neurons in dissociated culture autonomously re-organized their functional neuronal networks interacted with their environment. The spatio-temporal pattern of activity in the networks may be a reflection of their external environment. We also interfaced the cultured neuronal network with moving robot. The planar microelectrodes can be used for detecting neuronal electrical signals from the living neuronal network cultured on a 2-dimensional electrode array. The speed of actuators of moving robot was determined by these detected signals. Our goal is reconstruction of the neural network, which can process "thinking" in the dissociated culture system.
机译：神经元形成复杂的网络，似乎活着的神经元网络可以执行某些类型的信息处理。我们对体外自主形成的情报感兴趣。二维文化神经网络的最重要特征是它是一个自主执行信息处理的系统。我们以前报道过，功能连接是通过突触增强作用动态修饰的，该过程可能是重组神经元功能组所必需的。这种神经元组装对于大脑中的信息处理至关重要。当这些活动最初几乎同步时，某些类型的反馈刺激会导致自发性网络电活动受到抑制，并且神经元之间的功能连接急剧重组。结果表明，解离的文化中的神经元自主地重组了与其环境相互作用的功能神经元网络。网络中活动的时空模式可能是其外部环境的反映。我们还将培养的神​​经元网络与移动机器人连接起来。平面微电极可用于检测来自在二维电极阵列上培养的活神经元网络的神经元电信号。这些检测信号确定了移动机器人的执行器的速度。我们的目标是重建神经网络，该神经网络可以在分离的培养系统中处理“思维”。

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