Sasi Kiran Suddarsi, Sandeep Moparthi, Gopikant Kumar, Harika Ganta, Saranya Sri Peddapudi, Harshitha Goru, Gopi Krishna Saramekala
{"title":"利用28nm FD-SOI MOSFET实现和分析轴突丘神经元电路:原始设计和修改","authors":"Sasi Kiran Suddarsi, Sandeep Moparthi, Gopikant Kumar, Harika Ganta, Saranya Sri Peddapudi, Harshitha Goru, Gopi Krishna Saramekala","doi":"10.1007/s10470-025-02464-3","DOIUrl":null,"url":null,"abstract":"<div><p>Neuromorphic engineering has garnered significant interest for its potential in creating energy-efficient and highly parallel computing systems. One of the key components of such systems is the neuron circuit, especially Axon Hillock, which plays a vital role in signal integration and propagation. This paper explores the design of Axon Hillock (A-H) neuron circuits using a 28 nm Fully Depleted Silicon on Insulator (FD-SOI) MOSFET due to its advantages over Bulk CMOS. The original A-H neuron circuit undergoes two distinct modifications. In the first modification, original differential amplifier’s functionality is replaced with the inherent inverter threshold voltage, resulting in a reduced transistor count, lower power consumption of 26.3 µW, and an improved frequency of 9.18 kHz. The second modification involves replacing the differential amplifier with a low-threshold 2-transistor (2-T) based differential circuit, achieving a nearly 50% reduction in power consumption (16.8 µW) and a 1 kHz frequency boost (9.78 kHz) compared to the original A-H neuron circuit. Further, the third modified circuit eliminates the differential amplifier, membrane capacitance (C<sub>mem</sub>), and other control transistors, transforming it into a low-power variant. This circuit has a power consumption of 6.9 pW and an increased frequency of 63.34 kHz, nearly 18-fold increase compared to the original A-H neuron circuit.</p></div>","PeriodicalId":7827,"journal":{"name":"Analog Integrated Circuits and Signal Processing","volume":"124 3","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10470-025-02464-3.pdf","citationCount":"0","resultStr":"{\"title\":\"Implementation and analysis of axon hillock neuron circuits using 28 nm FD-SOI MOSFET: original design and modifications\",\"authors\":\"Sasi Kiran Suddarsi, Sandeep Moparthi, Gopikant Kumar, Harika Ganta, Saranya Sri Peddapudi, Harshitha Goru, Gopi Krishna Saramekala\",\"doi\":\"10.1007/s10470-025-02464-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Neuromorphic engineering has garnered significant interest for its potential in creating energy-efficient and highly parallel computing systems. One of the key components of such systems is the neuron circuit, especially Axon Hillock, which plays a vital role in signal integration and propagation. This paper explores the design of Axon Hillock (A-H) neuron circuits using a 28 nm Fully Depleted Silicon on Insulator (FD-SOI) MOSFET due to its advantages over Bulk CMOS. The original A-H neuron circuit undergoes two distinct modifications. In the first modification, original differential amplifier’s functionality is replaced with the inherent inverter threshold voltage, resulting in a reduced transistor count, lower power consumption of 26.3 µW, and an improved frequency of 9.18 kHz. The second modification involves replacing the differential amplifier with a low-threshold 2-transistor (2-T) based differential circuit, achieving a nearly 50% reduction in power consumption (16.8 µW) and a 1 kHz frequency boost (9.78 kHz) compared to the original A-H neuron circuit. Further, the third modified circuit eliminates the differential amplifier, membrane capacitance (C<sub>mem</sub>), and other control transistors, transforming it into a low-power variant. This circuit has a power consumption of 6.9 pW and an increased frequency of 63.34 kHz, nearly 18-fold increase compared to the original A-H neuron circuit.</p></div>\",\"PeriodicalId\":7827,\"journal\":{\"name\":\"Analog Integrated Circuits and Signal Processing\",\"volume\":\"124 3\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10470-025-02464-3.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analog Integrated Circuits and Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10470-025-02464-3\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analog Integrated Circuits and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10470-025-02464-3","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Implementation and analysis of axon hillock neuron circuits using 28 nm FD-SOI MOSFET: original design and modifications
Neuromorphic engineering has garnered significant interest for its potential in creating energy-efficient and highly parallel computing systems. One of the key components of such systems is the neuron circuit, especially Axon Hillock, which plays a vital role in signal integration and propagation. This paper explores the design of Axon Hillock (A-H) neuron circuits using a 28 nm Fully Depleted Silicon on Insulator (FD-SOI) MOSFET due to its advantages over Bulk CMOS. The original A-H neuron circuit undergoes two distinct modifications. In the first modification, original differential amplifier’s functionality is replaced with the inherent inverter threshold voltage, resulting in a reduced transistor count, lower power consumption of 26.3 µW, and an improved frequency of 9.18 kHz. The second modification involves replacing the differential amplifier with a low-threshold 2-transistor (2-T) based differential circuit, achieving a nearly 50% reduction in power consumption (16.8 µW) and a 1 kHz frequency boost (9.78 kHz) compared to the original A-H neuron circuit. Further, the third modified circuit eliminates the differential amplifier, membrane capacitance (Cmem), and other control transistors, transforming it into a low-power variant. This circuit has a power consumption of 6.9 pW and an increased frequency of 63.34 kHz, nearly 18-fold increase compared to the original A-H neuron circuit.
期刊介绍:
Analog Integrated Circuits and Signal Processing is an archival peer reviewed journal dedicated to the design and application of analog, radio frequency (RF), and mixed signal integrated circuits (ICs) as well as signal processing circuits and systems. It features both new research results and tutorial views and reflects the large volume of cutting-edge research activity in the worldwide field today.
A partial list of topics includes analog and mixed signal interface circuits and systems; analog and RFIC design; data converters; active-RC, switched-capacitor, and continuous-time integrated filters; mixed analog/digital VLSI systems; wireless radio transceivers; clock and data recovery circuits; and high speed optoelectronic circuits and systems.