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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.7
- 수록면
- 311 - 321 (11page)
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The report reviews recent research efforts in demonstrating a computing system whose operation principle mimicsthe dynamics of biological neurons. The temporal variation of the membrane potential of neurons is one of the key features thatcontribute to the information processing in the brain. We first summarize the neuron models that explain the experimentallyobserved change in the membrane potential. The function of ion channels is briefly introduced to understand such change fromthe molecular viewpoint. Dedicated circuits that can simulate the neuronal dynamics have been developed to reproduce the charging and discharging dynamics of neurons depending on the input ionic current from presynaptic neurons. Key elements include volatile memristors that can undergo volatile resistance switching depending on the voltage bias. This behavior called the threshold switching has been utilized to reproduce the spikes observed in the biological neurons. Various types of threshold switch have been applied in a different configuration in the hardware demonstration of neurons. Recent studies revealed that the memristor-based circuits could provide energy and space efficient options for the demonstration of neurons using the innate physical properties of materials compared to the options demonstrated with the conventional complementary metal-oxidesemiconductors (CMOS).
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