有机对数域整合突触
Organic log-domain integrator synapse
摘要：
突触在记忆、学习和认知中起着至关重要的作用。它们的主要功能包括将突触前电压尖峰转换为突触后电流，以及缩放输入信号。已经提出了几种受大脑启发的架构来模拟生物突触的行为。虽然这些对于探索神经系统的特性是有用的，但是制造具有生物学上合理的时间常数和可调增益的生物相容性和柔性电路的挑战仍然存在。在这里，一个物理上灵活的有机对数域积分器突触电路，以解决这一挑战。特别是，该电路是使用有机基材料制造的，这些材料是电活性的，提供灵活性和生物相容性，以及生物学上合理的时间常数（在学习神经代码和编码时空模式中至关重要）。使用10 nF的突触电容器，弯曲前和弯曲过程中的时间常数分别达到126 ms和221 ms。柔性突触电路的特点是弯曲之前和弯曲过程中，随后的加权电压，突触电容，和差异的突触前信号的时间常数的影响的研究。
英文摘要：
Synapses play a critical role in memory, learning, and cognition. Their main functions include converting pre-synaptic voltage spikes to post-synaptic currents, as well as scaling the input signal. Several brain-inspired architectures have been proposed to emulate the behavior of biological synapses. While these are useful to explore the properties of nervous systems, the challenge of making biocompatible and flexible circuits with biologically plausible time constants and tunable gain remains. Here, a physically flexible organic log-domain integrator synaptic circuit is shown to address this challenge. In particular, the circuit is fabricated using organic-based materials that are electrically active, offer flexibility and biocompatibility, as well as time constants (critical in learning neural codes and encoding spatiotemporal patterns) that are biologically plausible. Using a 10 nF synaptic capacitor, the time constant reached 126 ms and 221 ms before and during bending, respectively. The flexible synaptic circuit is characterized before and during bending, followed by studies on the effects of weighting voltage, synaptic capacitance, and disparity in pre-synaptic signals on the time constant.
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