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Slow electrical stimuli affect connectivity in cultured neuronal networks

机译:慢速电刺激会影响培养的神经网络中的连通性

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Learning, or more generally, plasticity may be studied using cultured neuronal networks on multi electrode arrays- Many protocols have been proposed to change connectivity in such networks. One of these protocols, proposed by Shahaf and Marom, aimed to change the input-output relationship of a selected connection in a network. Although the results were quite promising, the experiments appeared difficult to repeat and the protocol did not serve as a basis for wider investigation yet. Here, we repeated their protocol, and compared our 'learning curves' to the original results. Although in some experiments the protocol did not seem to work, we found that on average, the protocol showed a significant learning effect indeed. Furthermore, the protocol always induced connectivity changes that were much larger than changes that occurred after a comparable period of random stimulation. Finally, our data suggest that network connectivity changes are induced more easily using stimulation at a fixed, than using randomly changing electrodes.
机译:学习或更一般地,可以使用多电极阵列上的培养的神经网络研究来研究可塑性 - 许多协议已经提出了改变这种网络中的连接。 Shahaf和Marom提出的这些协议之一,旨在改变网络中所选连接的输入输出关系。虽然结果非常有前途,但实验似乎难以重复,议定书不作为更广泛的调查的基础。在这里,我们重复了他们的协议,并将我们的“学习曲线”与原始结果进行了比较。虽然在一些实验中,议定书似乎没有工作,但我们发现平均而言,该协议确实显示了重大的学习效果。此外,协议总是诱导的连接变化比在随机刺激的可比时期发生的变化大得多。最后,我们的数据表明,使用固定的刺激更容易地诱导网络连接变化,而不是使用随机更换电极。

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