We propose a new digital-to-analog converter (DAC) for realizing a synapse circuit of mixed-signal spiking neural networks. We named this circuit "time-domain DAC (TDAC)". This produces weights for converting a digital input code into voltage using one current waveform. Therefore, a TDAC is more compact than a conventional DAC that comprises many current sources and resistors. Moreover, a TDAC with leak resistance reproduces biological plausible synaptic responses that are expressed as alpha functions or dual exponential equations. We will show numerical analysis results of a TDAC and circuit simulation results of a circuit designed by the TSMC 40 nm CMOS process.

中文翻译：

---

用于尖峰神经网络硬件的时域数模转换器

我们提出了一种新的数模转换器 (DAC)，用于实现混合信号尖峰神经网络的突触电路。我们将此电路命名为“时域 DAC (TDAC)”。这产生了使用一个电流波形将数字输入代码转换为电压的权重。因此，TDAC 比包含许多电流源和电阻器的传统 DAC 更紧凑。此外，具有抗泄漏性的 TDAC 再现了生物似是而非的突触反应，这些反应表示为 alpha 函数或双指数方程。我们将展示 TDAC 的数值分析结果和采用 TSMC 40 nm CMOS 工艺设计的电路的电路仿真结果。