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Time-domain Digital-to-analog Converter for Spiking Neural Network Hardware by Uenohara, Seiji; Aihara, Kazuyuki is a scholarly article available to read on EtoBox.

What is Time-domain Digital-to-analog Converter for Spiking Neural Network Hardware about?

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.

Author

Uenohara, Seiji; Aihara, Kazuyuki

Published

2020

Language

EN