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Slow electrical stimuli to affect connectivity in cultured neuronal networks

机译:缓慢的电刺激会影响培养的神经元网络的连通性

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摘要

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 induces 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 better induced using stimulation at a fixed, than using randomly changing electrodes.
机译:学习,或更广泛地说,可使用在多电极阵列上的培养的神经元网络来研究可塑性。已经提出了许多协议来改变这种网络中的连接性。 Shahaf和Marom提出的这些协议之一旨在改变网络中选定连接的输入输出关系。尽管结果令人鼓舞,但实验似乎很难重复,而且该方案还没有作为更广泛研究的基础。在这里,我们重复了他们的协议,并将“学习曲线”与原始结果进行了比较。尽管在某些实验中该协议似乎不起作用,但我们发现该协议实际上显示出了显着的学习效果。此外,该协议始终会引发连通性变化,该变化远大于在相当时期的随机刺激后发生的变化。最后,我们的数据表明,与使用随机变化的电极相比,在固定的刺激下诱发的网络连接性变化更好。

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