Demonstration of integrate-and-fire neuron circuit for spiking neural networks

Sung Yun Woo, Won Mook Kang, Young Tak Seo, Soochang Lee, Dongseok Kwon, Seongbin Oh, Jong Ho Bae, Jong Ho Lee

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

An integrate-and-fire (IF) neuron and a voltage level shifter circuit were fabricated and investigated for hardware-based SNN architectures. To verify an IF function of neurons, the fabricated IF neuron circuit consists of a synapse, an integration/reset part, and a fire/trigger circuit. By observing a membrane potential of the IF neuron circuit, an integration and reset operations are successfully implemented. In the fabricated IF neuron circuit, the number of output spikes is 2, 5, 10, and 20 at tpulses of 0.4 μs, 1 μs, 2 μs and 4 μs, respectively. The firing rate of the neuron circuit linearly increases as tpulse increases. These measurement results demonstrate that the fabricated IF neuron circuit implements IF function and reset operation well with linear activation function. For suppression of a gate induced drain leakage (GIDL) at high drain voltages (>6 V), the voltage level shifter consists of MOSFETs with a lightly doped drain (LDD). The generation of high voltage pulses (>6 V) for a synaptic weight update is observed through the voltage level shifter circuit.

Original languageEnglish
Article number108481
JournalSolid-State Electronics
Volume198
DOIs
StatePublished - Dec 2022

Keywords

  • Complementary MOSFET
  • Integrate-and-fire function
  • Neuron circuit
  • Spiking neural networks (SNNs)
  • Voltage level shifter

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