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Prototyping a memristive-based device to analyze neuronal excitability

机译:原型设计了基于椎间型的设备,以分析神经元兴奋性

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Many efforts have been spent in the last decade for the development of nanoscale synaptic devices integrated into neuromorphic circuits, trying to emulate the behavior of natural synapses. The study of brain properties with the standard approaches based on biocompatible electrodes coupled to conventional electronics, however, presents strong limitations, which in turn could be overcame by the in-situ growth of neuronal networks coupled to memristive devices. To meet this challenging task, here two different chips were designed and fabricated for culturing neuronal cells and sensing their electrophysiological activity. The first chip was designed to be connected to an external memristor, while the second chip was coated with TiO2 films owning memristive properties. The biocompatibility of chips was preliminary analyzed by culturing the hybrid motor-neuron cell line NSC-34 and by measuring the electrical activity of cells interfacing the chip with a standard patch-clamp setup. Next, neurons were seeded on chips and their activity measured with the same setup. For both cell types total current and voltage responses were evoked and recorded with optimal results with no breakdowns. In addition, an external stimulation was applied to cells through chip electrodes, being effective and causing no damage or pitfalls to the cells. Finally, the whole bio-hybrid system, i.e. the chip interconnected with a commercial memristor, was tested with promising results. Spontaneous electrical activity of neurons grown on the chip was indeed present and this signal was collected and sent to the memristor, changing its state. Taken together, we demonstrated the ability of memristor to work with a synaptic/plastic response together with natural systems, opening the way for the further implementation of basic computing elements able to perform both storage and processing of data, as in natural neurons.
机译:在过去的十年里,在纳入神经形状电路中的纳米级突触装置的发展中已经花了许多努力,试图模仿自然突触的行为。然而,基于耦合到传统电子器件的基于生物相容性电极的标准方法的脑性质研究具有强烈的限制,这又可以通过耦合到椎间型器件的神经网络的原位生长来克服。为了满足这项挑战性的任务,这里设计了两种不同的芯片,用于培养神经元细胞并感测其电生理活性。第一芯片设计成连接到外部忆阻器,而第二芯片涂有TiO2膜,其具有忆膜特性。通过用标准的贴片装置培养杂合电动机 - 神经元细胞系NSC-34并测量与芯片连接的电池的电活动进行促进芯片的生物相容性。接下来,在碎片上接种神经元及其用相同设置测量的活性。对于两种细胞类型,唤起了总电流和电压响应,并记录了最佳结果,没有故障。此外,通过芯片电极将外部刺激应用于细胞,有效并对细胞没有损伤或缺陷。最后,通过有前途的结果测试了整个生物混合系统,即与商业忆失函数互连的芯片。确实存在在芯片上生长的神经元的自发电能,并且收集该信号并将其送到忆内转发,改变其状态。我们一起占据了忆阻器与自然系统一起使用突触/塑料反应的能力,为进一步实施能够进行数据存储和处理数据的基本计算元素的方式,如天然神经元。

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