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Operation of Network Dynamics in Cultured Hippocampal Neurons on a Multi-electrode Array

机译:多电极阵列培养的海马神经元网络动力学的运行

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Neurons reorganized complex networks on a culture dish and it seems that the living neuronal network can perform certain type of information processing. We showed that dissociated rat hippocampal neurons on a multielectrode array dish formed heterogeneous networks of functional connections. We estimated the functional connections of all combinations of pairs of neurons on the electrodes and represented them into a "connection map". The connection map revealed that each culture contained some hub-like neurons with many functional connections. This cultured neuronal network has unique functional structures which are suitable for perform information processing and the network can re-organize functional connections between neurons in the network. So, it seems that the system can perform some intelligent behavior. We are developing the living brain robot system with premised rules which are corresponding to genetically provided interface of neural network to peripheral system. The premised rules are described by fuzzy logic and they play a role to generate instinctive behavior. The robot can avoid collision by sensor inputs from robot body to neuronal networks, and by output command from the network to motors of the robot. Now we are analyzing the change of connection map moderated by the interaction to outer world via moving robot.
机译:神经元在培养皿上重组复杂网络,似乎生活神经元网络可以执行某种类型的信息处理。我们表明,在多电极阵列盘上解离大鼠海马神经元形成的功能连接的异质网络。我们估计了电极上的所有神经元的所有组合的功能连接,并将它们代表成“连接图”。连接图显示,每种培养物包含一些具有许多功能连接的轮毂样神经元。该培养的神经元网络具有独特的功能结构,其适合于执行信息处理,并且网络可以重新组织网络中神经元之间的功能连接。因此,系统似乎可以执行一些智能行为。我们正在开发带有前提规则的生活大脑机器人系统,该规则对应于基因提供神经网络的界面到外围系统。前提规则是由模糊逻辑描述的,他们发挥作用以产生本能行为。机器人可以避免从机器人身体到神经网络的传感器输入的碰撞,并通过从网络到机器人的电机的输出命令。现在我们通过移动机器人分析了通过移动机器人对外世界进行了相互作用的连接地图的变化。

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