Leaky Integrate-and-Fire Biristor Neuron

Nanoscale Memristor Device as Synapse in Neuromorphic Systems

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Neuromorphic electronic systems

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A VLSI Array of Low-Power Spiking Neurons and Bistable Synapses With Spike-Timing Dependent Plasticity

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Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

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Neuromorphic Analogue VLSI

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Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation

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A vlsi recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory

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An electrically modifiable synapse array of resistive switching memory

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Synchrony Detection and Amplification by Silicon Neurons With STDP Synapses

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Temporal Coding in a Silicon Network of Integrate-and-Fire Neurons

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Real-time interaction between a neuromorphic electronic circuit and the spinal cord

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Biristor—Bistable Resistor Based on a Silicon Nanowire

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Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference

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A Bandgap-Engineered Silicon-Germanium Biristor for Low-Voltage Operation

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Bistable resistor (biristor) - gateless silicon nanowire memory

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Trigger and Self-Latch Mechanisms of n-p-n Bistable Resistor

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An ultra-compact and low power neuron based on SOI platform

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A Silicon Biristor With Reduced Operating Voltage: Proposal and Analysis

Kumar, M. J., Maheedhar, M., & Varma, P. P. (2014) · IEEE Journal of the Electron Devices Society · doi:10.1109/jeds.2014.2384518 · Cited by 20 · see citing works

Vertically Integrated Unidirectional Biristor

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Schottky Biristor: A Metal-Semiconductor–Metal Bistable Resistor

Kumar, M. J., Maheedhar, M., & Varma, P. P. (2015) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2015.2433300 · Cited by 18 · see citing works

A comprehensive review on emerging artificial neuromorphic devices

Zhu, J., Zhang, T., Yang, Y., & Huang, R. (2020) · Applied Physics Reviews · doi:10.1063/1.5118217 · Cited by 763 · see citing works

A Review of Artificial Spiking Neuron Devices for Neural Processing and Sensing

Han, J., Yun, S., Lee, S., Yu, J., & Choi, Y. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202204102 · Cited by 193 · see citing works

Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose

Han, J., Kang, M., Jeong, J., Cho, I., Yu, J., Yoon, K., Park, I., & Choi, Y. (2022) · Advanced Science · doi:10.1002/advs.202106017 · Cited by 131 · see citing works

Mimicry of Excitatory and Inhibitory Artificial Neuron With Leaky Integrate-and-Fire Function by a Single MOSFET

Han, J.-K., Seo, M., Kim, W.-K., Kim, M.-S., Kim, S.-Y., Kim, M.-S., Yun, G.-J., Lee, G.-B., Yu, J.-M., & Choi, Y.-K. (2020) · IEEE Electron Device Letters · doi:10.1109/led.2019.2958623 · Cited by 127 · see citing works

Cointegration of single-transistor neurons and synapses by nanoscale CMOS fabrication for highly scalable neuromorphic hardware

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Bioinspired Photoresponsive Single Transistor Neuron for a Neuromorphic Visual System

Han, J., Geum, D., Lee, M., Yu, J., Kim, S. K., Kim, S., & Choi, Y. (2020) · Nano Letters · doi:10.1021/acs.nanolett.0c03652 · Cited by 85 · see citing works

Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System

Han, J., Tcho, I., Jeon, S., Yu, J., Kim, W., & Choi, Y. (2022) · Advanced Science · doi:10.1002/advs.202105076 · Cited by 75 · see citing works

Building Brain-Inspired Logic Circuits from Dynamically Switchable Transition-Metal Oxides

Andrews, J. L., Santos, D. A., Meyyappan, M., Williams, R. S., & Banerjee, S. (2019) · Trends in Chemistry · doi:10.1016/j.trechm.2019.07.005 · Cited by 71 · see citing works

Machine Learning for Tactile Perception: Advancements, Challenges, and Opportunities

Hu, Z., Lin, L., Lin, W., Xu, Y., Xia, X., Peng, Z., Sun, Z., & Wang, Z. (2023) · Advanced Intelligent Systems · doi:10.1002/aisy.202200371 · Cited by 73 · see citing works

Toward a Brain–Neuromorphics Interface

Wan, C., Pei, M., Shi, K., Cui, H., Long, H., Qiao, L., Xing, Q., & Wan, Q. C. (2024) · Advanced Materials · doi:10.1002/adma.202311288 · Cited by 71 · see citing works

Self-aware artificial auditory neuron with a triboelectric sensor for spike-based neuromorphic hardware

Yun, S., Han, J., Lee, S., Yu, J., Jeon, S., & Choi, Y. (2023) · Nano Energy · doi:10.1016/j.nanoen.2023.108322 · Cited by 69 · see citing works

A Highly Scalable Junctionless FET Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Kamal, N., & Singh, J. (2021) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2021.3061036 · Cited by 68 · see citing works

Band-to-Band Tunneling Based Ultra-Energy-Efficient Silicon Neuron

Chavan, T., Dutta, S., Mohapatra, N. R., & Ganguly, U. (2020) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2020.2985167 · Cited by 59 · see citing works

Self‐Mixed Biphasic Liquid Metal Composite with Ultra‐High Stretchability and Strain‐Insensitivity for Neuromorphic Circuits

Lee, D. H., Lim, T., Pyeon, J., Park, H., Lee, S., Lee, S., Kim, W., Kim, M. S., Lee, J., Kim, D., et al. (2024) · Advanced Materials · doi:10.1002/adma.202310956 · Cited by 56 · see citing works

A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms

Bavikadi, S., Dhavlle, A., Ganguly, A., Haridass, A., Hendy, H., Merkel, C. E., Reddi, V. J., Sutradhar, P. R., Joseph, A., & Dinakarrao, S. M. P. (2022) · IEEE Design and Test · doi:10.1109/mdat.2022.3161126 · Cited by 48 · see citing works

Preventing Vanishing Gradient Problem of Hardware Neuromorphic System by Implementing Imidazole‐Based Memristive ReLU Activation Neuron

Oh, J., Kim, S., Lee, C., Cha, J., Yang, S. Y., Im, S. G., Park, C., Jang, B. C., & Choi, S. (2023) · Advanced Materials · doi:10.1002/adma.202300023 · Cited by 40 · see citing works

A Single Transistor Neuron With Independently Accessed Double-Gate for Excitatory-Inhibitory Function and Tunable Firing Threshold Voltage

Han, J.-K., Seo, M., Yu, J.-M., Suh, Y.-J., & Choi, Y.-K. (2020) · IEEE Electron Device Letters · doi:10.1109/led.2020.3001953 · Cited by 39 · see citing works

Single Germanium MOSFET-Based Low Energy and Controllable Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Khanday, M. A., Bashir, F. I., & Khanday, F. A. (2022) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2022.3186274 · Cited by 37 · see citing works

Implementation and Characterization of an Integrate-and-Fire Neuron Circuit Using a Silicon Nanowire Feedback Field-Effect Transistor

Woo, S., Cho, J., Lim, D., Park, Y.-S., Cho, K., & Kim, S. (2020) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2020.2995785 · Cited by 36 · see citing works

Dopingless-TFET Leaky-Integrated-Fire (LIF) Neuron For High-Speed Energy Efficient Applications

Priyanka, Singh, S., & Panchore, M. (2022) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2022.3151241 · Cited by 35 · see citing works

Cryptographic transistor for true random number generator with low power consumption

Kim, S.-I., You, H.-J., Kim, M.-S., An, U.-S., Kim, M.-S., Lee, D. H., Ryu, S.-T., & Choi, Y.-K. (2024) · Science Advances · doi:10.1126/sciadv.adk6042 · Cited by 33 · see citing works

Recent progress of triboelectric nanogenerator-based power management and information processing circuit

Zhou, Y., Zhang, P., Li, J., & Mao, X. (2023) · Materials Today Sustainability · doi:10.1016/j.mtsust.2023.100426 · Cited by 31 · see citing works

Exploiting Steep Sub-Threshold Swing of Tunnel FET for Energy-Efficient Leaky Integrate-and-Fire Neuron Model

Khanday, M. A., Khanday, F. A., Bashir, F. I., & Zahoor, F. (2023) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2023.3296557 · Cited by 29 · see citing works

An artificial olfactory sensory neuron for selective gas detection with in-sensor computing

Lee, S., Kang, M., Han, J., Yun, S., Park, I., & Choi, Y. (2023) · Device · doi:10.1016/j.device.2023.100063 · Cited by 29 · see citing works

Demonstration of an UltraLow Energy PD-SOI FinFET Based LIF Neuron for SNN

Rajakumari, V., & Pradhan, K. P. (2022) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2022.3195698 · Cited by 29 · see citing works

Unconventional computing based on magnetic tunnel junction

Cai, B., He, Y., Xin, Y., Yuan, Z., Zhang, X., Zhu, Z., & Liang, G. (2023) · Applied Physics A · doi:10.1007/s00339-022-06365-4 · Cited by 31 · see citing works

CMOS Ternary Logic With a Biristor Threshold Switch for Low Static Power Consumption

Han, J., Yu, J., Nam, S.-Y., & Choi, Y. (2022) · IEEE Electron Device Letters · doi:10.1109/led.2022.3172067 · Cited by 24 · see citing works

Review of bio-inspired image sensors for efficient machine vision

Tang, W., Yang, Q. G., Xu, H., Guo, Y., Zhang, J., Ouyang, C., Meng, L., & Liu, X. (2024) · Advanced Photonics · doi:10.1117/1.ap.6.2.024001 · Cited by 23 · see citing works

Memristive LIF Spiking Neuron Model and Its Application in Morse Code

Fang, X., Liu, D.-R., Duan, S.-K., & Wang, L.-D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.853010 · Cited by 25 · see citing works

Single SiGe Transistor Based Energy-Efficient Leaky Integrate-and-Fire Neuron for Neuromorphic Computing

Khanday, M. A., Khanday, F. A., & Bashir, F. I. (2023) · Neural Processing Letters · doi:10.1007/s11063-023-11245-w · Cited by 22 · see citing works

Low-Power and High-Density Neuron Device for Simultaneous Processing of Excitatory and Inhibitory Signals in Neuromorphic Systems

Woo, S. Y., Kwon, D., Choi, N., Kang, W.-M., Seo, Y.-T., Park, M., Bae, J., Park, B., & Lee, J. (2020) · IEEE Access · doi:10.1109/access.2020.3036088 · Cited by 22 · see citing works

Spike‐Based Neuromorphic Hardware for Dynamic Tactile Perception with a Self‐Powered Mechanoreceptor Array

Lee, S., Yun, S., Han, J., Nho, Y., Jeon, S., & Choi, Y. (2024) · Advanced Science · doi:10.1002/advs.202402175 · Cited by 20 · see citing works

A Vertical Silicon Nanowire Based Single Transistor Neuron with Excitatory, Inhibitory, and Myelination Functions for Highly Scalable Neuromorphic Hardware

Han, J., Oh, J., Yu, J., Choi, S., & Choi, Y. (2021) · Small · doi:10.1002/smll.202103775 · Cited by 19 · see citing works

Vertical InGaAs Biristor for Sub-1 V Operation

Kim, W., Bidenko, P., Kim, J., Sim, J., Han, J., Kim, S., Geum, D., Kim, S., & Choi, Y. (2021) · IEEE Electron Device Letters · doi:10.1109/led.2021.3070334 · Cited by 18 · see citing works

A Temperature Sensor With a Thermillator

Lee, M., Han, J., Yun, G., Yu, J., Lee, G., Han, S., & Choi, Y. (2021) · IEEE Electron Device Letters · doi:10.1109/led.2021.3111622 · Cited by 18 · see citing works

Toward Cognitive Machines: Evaluating Single Device Based Spiking Neural Networks for Brain-Inspired Computing

Bashir, F. I., Alzahrani, A., Abbas, H., & Zahoor, F. (2025) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.4c02015 · Cited by 15 · see citing works

Energy-efficient neuromorphic system using novel tunnel FET based LIF neuron design for adaptable threshold logic and image analysis applications

Bashir, F. I., Zahoor, F., Alzahrani, A., & Abbas, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-93727-6 · Cited by 14 · see citing works

Investigation of Leaky Characteristic in a Single-Transistor-Based Leaky Integrate-and-Fire Neuron

Han, J., Kim, M., Kim, S.-I., Lee, M., Lee, S., Yu, J., & Choi, Y. (2021) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2021.3110830 · Cited by 14 · see citing works

Design of Leaky Integrate and Fire Neuron for Spiking Neural Networks Using Trench Bipolar I-MOS

Lahgere, A. (2023) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2023.3278537 · Cited by 13 · see citing works

A tunable leaky integrate-and-fire neuron based on one neuromorphic transistor and one memristor

Mao, H., Zhu, Y., Ke, S., Zhu, Y., Shi, K., Wang, X., Wan, C., & Wan, Q. (2023) · Applied Physics Letters · doi:10.1063/5.0151312 · Cited by 13 · see citing works

A Junctionless Single Transistor Neuron With Vertically Stacked Multiple Nanowires for Highly Scalable Neuromorphic Hardware

Han, J., Yu, J., & Choi, Y. (2022) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2022.3167622 · Cited by 13 · see citing works

Modeling and Designing of an All-Digital Resonate-and-Fire Neuron Circuit

Le, T.-K., Bui, T.-T., & Le, D.-H. (2023) · IEEE Access · doi:10.1109/access.2023.3287994 · Cited by 12 · see citing works

Leaky-integrate-fire neuron based on vertically extended drain Si 1−x Ge x source TFET: Ultra-energy-efficient and high speed design

Priyanka, Singh, S., & Panchore, M. (2024) · Microelectronics Journal · doi:10.1016/j.mejo.2024.106182 · Cited by 12 · see citing works

Emulation of neuro-mimetic dynamics via GaSb/Si heterojunction V-DGTFET leaky-integrate-fire silicon neuron

Priyanka, Singh, S., & Panchore, M. (2023) · Micro and Nanostructures · doi:10.1016/j.micrna.2023.207709 · Cited by 11 · see citing works

Concealable Oscillation-Based Physical Unclonable Function With a Single-Transistor Latch

Jung, J.-W., Han, J., Yu, J., Lee, M., Kim, M., Lee, G., Tcho, I., Yun, S., & Choi, Y. (2022) · IEEE Electron Device Letters · doi:10.1109/led.2022.3182754 · Cited by 11 · see citing works

A Nanoscale Bistable Resistor for an Oscillatory Neural Network

Yun, S., Han, J., & Choi, Y. (2024) · Nano Letters · doi:10.1021/acs.nanolett.3c04539 · Cited by 9 · see citing works

An energy‐efficient tunable threshold spiking neuron with excitatory and inhibitory function

Khanday, M. A., & Khanday, F. A. (2024) · International Journal of Numerical Modelling Electronic Networks Devices and Fields · doi:10.1002/jnm.3227 · Cited by 9 · see citing works

Synaptic Segmented Transistor with Improved Linearity by Schottky Junctions and Accelerated Speed by Double-Layered Nitride

Kim, S., Yu, J., Lee, G. S., Yun, D.-H., Kim, M., Kim, J., Kim, D., Lee, G., Kim, M., Han, J., et al. (2022) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.2c07975 · Cited by 9 · see citing works

Single Transistor Latch Near 1 V With Asymmetric Biasing in a MOSFET

Lee, S.-W., Kim, S.-I., Yun, S., Han, J., Yu, J., Son, J.-H., & Choi, Y.-K. (2024) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2024.3469181 · Cited by 8 · see citing works

Highly scalable In0.95Ga0.05As based controllable leaky-integrate-fire neuron for high performance spiking neural network and applications

Faizan, M., Loan, S. A., & Alkhammash, H. I. (2025) · Physica Scripta · doi:10.1088/1402-4896/adab45 · Cited by 8 · see citing works

Artificial Neurons Based on a Threshold Switching Memristor with Ultralow Threshold Voltage

Liang, H., Jiang, T. S., Wang, Y., An, L., Bian, L., Zhou, J., & Zhang, B. (2025) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.5c00188 · Cited by 8 · see citing works

Thermally Stable Single-Transistor Neuron for Reliable Neuromorphic System

Chung, Y., Han, J., Jung, J.-W., Yun, S., Yu, J., Lee, M., & Choi, Y. (2022) · IEEE Electron Device Letters · doi:10.1109/led.2022.3207187 · Cited by 8 · see citing works

Spintronic Artificial Neurons Showing Integrate-and-Fire Behavior with Reliable Cycling Operation

Cui, C., Liu, S., Kwon, J., & Incorvia, J. A. C. (2024) · Nano Letters · doi:10.1021/acs.nanolett.4c05063 · Cited by 7 · see citing works

An Artificial Neuron with a Leaky Fin‐Shaped Field‐Effect Transistor for a Highly Scalable Capacitive Neural Network

Han, J., Yu, J., Kim, D. W., & Choi, Y. (2022) · Advanced Intelligent Systems · doi:10.1002/aisy.202200112 · Cited by 7 · see citing works

Neuromorphic Computing Based on Tunnel FET-LIF Neuron with Plausible Mimicking Efficiency

Priyanka, Singh, S., & Panchore, M. (2025) · BioNanoScience · doi:10.1007/s12668-025-02047-6 · Cited by 6 · see citing works

One Biristor-Two Transistor (1B2T) Neuron With Reduced Output Voltage and Pulsewidth for Energy-Efficient Neuromorphic Hardware

Han, J., Yun, G., Han, S., Yu, J., & Choi, Y. (2020) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2020.3036018 · Cited by 6 · see citing works

Shape Anisotropy-Dependent Leaking in Magnetic Neurons for Bio-Mimetic Neuromorphic Computing

Leonard, T., Zogbi, N., Liu, S., Rogers, W. S., Bennett, C. H., & Incorvia, J. A. C. (2025) · ACS Nano · doi:10.1021/acsnano.4c13020 · Cited by 5 · see citing works

A Single MOSFET-Based Oscillator on a Bulk-Silicon Wafer

Kim, H.-Y., Kim, S.-I., Han, J., Jung, J.-W., & Choi, Y. (2023) · IEEE Electron Device Letters · doi:10.1109/led.2023.3329815 · Cited by 5 · see citing works

Artificial sensory neurons and their applications

Shao, J., Ying, H., Cheng, P., Hu, L., Wei, X., Li, Z.-X., Lu, H., Ye, Z., & Zhuge, F. (2025) · Journal of Semiconductors · doi:10.1088/1674-4926/24080039 · Cited by 5 · see citing works

Multilayer magnetic skyrmion devices for spiking neural networks

Lone, A. H., Rahimi, D. N., Fariborzi, H., & Setti, G. (2025) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/adad0e · Cited by 5 · see citing works

Voltage-Controlled Skyrmion-Based Leaky Integrate and Fire Neurons for Spiking Neural Networks

Lone, A. H., Aguirre, F. L., Rahimi, D. N., Lanza, M., Setti, G., & Fariborzi, H. (2024) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2024.3442161 · Cited by 5 · see citing works

Spike-based rotation detection using a self-powered triboelectric sensor with mimicry of a vestibular system

Yun, S., Son, J.-H., Kim, J., Han, J., & Choi, Y. (2024) · Nano Energy · doi:10.1016/j.nanoen.2024.110393 · Cited by 5 · see citing works

Strained bipolar charge plasma transistor as a high speed LIF neuron

Priyanka, Singh, S., & Panchore, M. (2025) · Micro and Nanostructures · doi:10.1016/j.micrna.2025.208127 · Cited by 5 · see citing works

Quantum transmission through the n-p-n heterojunction of massive 8-Pmmn borophene

Yu, G.-N., Yi, G.-Y., Cui, W.-B., Zhang, L.-L., Li, X.-S., & Gong, W.-J. (2021) · Journal of Physics Condensed Matter · doi:10.1088/1361-648x/ac3a46 · Cited by 5 · see citing works

An energy efficient leaky integrate and fire neuron using Ge-source TFET for spiking neural network: simulation analysis

Tiwari, S., Saha, R., & Varma, T. (2024) · Physica Scripta · doi:10.1088/1402-4896/ad76ea · Cited by 4 · see citing works

Leaky-integrate-and-fire operation with signal amplification using gate-controlled carrier-injection silicon-on-insulator transistor

Yonezaki, H., Mori, T., & Ida, J. (2024) · Japanese Journal of Applied Physics · doi:10.35848/1347-4065/ad1ca2 · Cited by 4 · see citing works

A Compact Low Power Multi-mode Spiking Neuron using Band to Band Tunneling

Kadam, A. A., Singh, A. K., Somappa, L., Baghini, M. S., & Ganguly, U. (2024) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas58744.2024.10557876 · Cited by 4 · see citing works

Highly biomimetic spiking neuron using SiGe heterojunction bipolar transistors for energy-efficient neuromorphic systems

Kim, Y., Kim, H., Oh, K., Park, J. H., & Baek, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-58962-3 · Cited by 4 · see citing works

BEOL‐Compatible 4F2 Oscillator Using Vertical InGaAs Biristor for Highly Scalable Monolithic 3D Ising Solver

Kim, J. P., Kim, H. W., Jeong, J., Park, J., Kuk, S., Kim, J., Woo, J., & Kim, S. (2024) · Small · doi:10.1002/smll.202406822 · Cited by 3 · see citing works

A Reconfigurable Silicon Transistor for Noise-Resilient Stochastic Spiking Neural Networks

Maeng, H.-Y., Lee, H., Lee, S.-W., Oh, J., Kim, H.-Y., Choi, S., & Choi, Y. (2025) · ACS Nano · doi:10.1021/acsnano.5c15076 · Cited by 3 · see citing works

Adaptive Spiking TD3+BC for Offline-to-Online Spiking Reinforcement Learning

Yang, X., Song, J., Zhang, X., & Wang, D. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650965 · Cited by 3 · see citing works

Compact and energy efficient design of LIF neuron leveraging Zener breakdown for neuromorphic computing

Bashir, F. I. (2025) · Micro and Nanostructures · doi:10.1016/j.micrna.2025.208208 · Cited by 3 · see citing works

A Vertical Single Transistor Neuron with Core–Shell Dual-Gate for Excitatory–Inhibitory Function and Tunable Firing Threshold Voltage

Lee, T., Jeon, S., & Kim, D. (2022) · Micromachines · doi:10.3390/mi13101740 · Cited by 3 · see citing works

Low-energy and tunable LIF neuron using SiGe bandgap-engineered resistive switching transistor

Kim, Y., Kim, H., Oh, K., Park, J. H., Kong, B. D., & Baek, C. (2024) · Discover Nano · doi:10.1186/s11671-024-04079-5 · Cited by 3 · see citing works

Steep Subthreshold Slope Gate-Controlled Carrier-Injection SOI Transistor for Ultralow Power Applications

Yonezaki, H., Mori, T., & Ida, J. (2025) · IEEE Journal of the Electron Devices Society · doi:10.1109/jeds.2025.3529176 · Cited by 2 · see citing works

Emergent Behavior in Spiking Neural Networks: A Study on Complex Network Structures

Yin, J., Li, J., & Li, X. (2024) · International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC) · doi:10.1109/icairc64177.2024.10900251 · Cited by 2 · see citing works

Spintronic FitzHugh–Nagumo spiking neuron device for spiking neural networks

Lone, A. H., Rahimi, D. N., Tang, M., Divyanshu, D., Amara, S., & Setti, G. (2025) · APL Materials · doi:10.1063/5.0263130 · Cited by 2 · see citing works

Investigation of capacitor-less integrate and fire neuron by using dual-gate a PN-body tied silicon on insulator field-effect transistor

Mori, T., & Ida, J. (2021) · Japanese Journal of Applied Physics · doi:10.35848/1347-4065/abe3d5 · Cited by 2 · see citing works

Mimicking the retinal neuron functions by a photoresponsive single transistor with a double gate

Ding, Q., Gu, C., Li, J., Li, X., Hou, B., Peng, Y., Chen, B., & Yao, Y. (2024) · Biophysical Journal · doi:10.1016/j.bpj.2024.05.023 · Cited by 1 · see citing works

Noise-induced simultaneous firing in two leaky integrate-and- fire circuits with dead zones

Takada, A., & Tsubone, T. (2024) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet61485.2024.10698485 · Cited by 1 · see citing works

Frequency Response to AC Input Signal in a Neuristor

Yun, S., Lee, S.-W., Lee, T., Son, J.-H., Yu, J., & Choi, Y.-K. (2024) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2024.3487085 · Cited by 1 · see citing works

First demonstration of leaky-integrate and fire neuron based GAA nanosheet FET with ultra-low energy consumption down to 0.8fJ/spike for spiking neural network applications

Kanche, M., Adwaith, D. V. S., Sai, P., Kotha, V. R., Valasa, S., Bhukya, S., Tayal, S., Malishetty, N., & Vadthiya, N. (2025) · Physica Scripta · doi:10.1088/1402-4896/add660 · Cited by 1 · see citing works

Design of energy-efficient LIF neuron using CMOS compatible gate-all-around floating nanosheet FET for bio-inspired spiking neural networks

Bhatawdekar, Y., Riyaz, S. M., Yechuri, L. A., Valasa, S., Kotha, V. R., Bhukya, S., Tayal, S., & Vadthiya, N. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.131814 · Cited by 1 · see citing works

A Cryptographic Transistor with Stochastic Carrier Trapping and Detrapping for a True Random Number Generator

Kim, S.-I., Chin, H.-S., Han, J.-A., Kim, S., Kim, J., Lee, S., Lee, D. H., Kim, M., Ryu, S., & Choi, Y. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c18669 · Cited by 1 · see citing works

Ferroelectric Junctionless Tunnel FET Mimicking LIF Neural Dynamics

Priyanka, Panchore, M., & Aaryan (2025) · Silicon · doi:10.1007/s12633-025-03579-y · Cited by 1 · see citing works

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Lee, H., Kim, J. P., & Kim, S. (2026) · Advanced Electronic Materials · doi:10.1002/aelm.202500682 · Cited by 1 · see citing works

Multiple spiking functionalities in annealing-optimized Ag/Hf0.5Zr0.5O2-based memristive neurons

Zhidkov, N., Permiakova, O., Zenkevich, A. V., & Khanas, A. (2026) · Applied Physics Letters · doi:10.1063/5.0338595 · Cited by 1 · see citing works

Neuronal Function and Signal Amplification Device with Steep Switching “PN-Body Tied SOI-FET”

Mori, T., & Ida, J. (2023) · International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA) · doi:10.1109/vlsi-tsa/vlsi-dat57221.2023.10134222 · Cited by 1 · see citing works

Variability Evaluation of MOS-gated PNPN Diode for Hardware Spiking Neural Network

Takada, T., Mori, T., & Ida, J. (2023) · IEEE International Conference on Microelectronic Test Structures (ICMTS) · doi:10.1109/icmts55420.2023.10094054

Temperature-Dependent Electrical Characteristics of Silicon Biristor

Kim, E., & Lim, D. (2023) · Micromachines · doi:10.3390/mi14122165

Developing Artificial Sensory Neurons for Large-Area Hybrid Electronics

Ng, S. E. (2024) · World Scientific Annual Review of Functional Materials · doi:10.1142/s2810922824300034

Schottky barrier memory based on heterojunction bandgap engineering for high-density and low-power retention

Kim, H., Kim, Y., Oh, K., Park, J. H., & Baek, C. (2024) · Discover Nano · doi:10.1186/s11671-024-04106-5

Double-Threshold Spiking Reinforcement Learning for Computation-Efficient Robotic Arm Furniture AssemblyPreprint

Wu, Q., Li, X., Li, R., & Cheng, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5401779

p-n-p Biristor With a Silicon Nanowire

Lee, S., Yun, S., & Choi, Y. (2025) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2025.3606424

Gate-Engineered Tunnel FET Based LIF Neuron for Scalable and Energy-Efficient AI Systems

Bashir, F. I., Alzahrani, A., Bature, U. I., Abbas, H., & Zahoor, F. (2026) · IEEE International Conference on Computing and Machine Intelligence (ICMI) · doi:10.1109/icmi68585.2026.11539791

Research on Event Camera-Based Flame Detection Method Using Spiking Neural Network

Zhang, Z. Y., Xu, S., Yi, W., Ke, Y., Tang, Y., & Xu, C. (2026) · International Conference on Image, Signal Processing and Pattern Recognition (ISPP) · doi:10.1109/ispp69262.2026.11543125

Reconfigurable Two-Dimensional Activation Neuron Device

Yi, J., Zhang, Q., Zhang, P., Wang, C., Li, W., Zhou, G., Qiu, G., Lin, X., Chen, Z., Wu, D., et al. (2026) · Nano Letters · doi:10.1021/acs.nanolett.6c02085

Array of Cointegrated Transistor‐Based Artificial Neurons and Synapses for Neuromorphic Computing

Lee, S., Seo, S., Jeong, H., Han, J., Kim, Y., Yoo, D.-E., Son, J.-H., Yu, J., Choi, S., & Choi, Y. (2026) · Small · doi:10.1002/smll.74638

Device‐to‐System Perspectives on Scalable Ising Machines for Physics‐Driven Computing

Youn, S., Hwang, H., Lee, J., Seo, H., & Kim, H. (2026) · Advanced Quantum Technologies · doi:10.1002/qute.70519

A spiking neuron implemented in VLSI

Stoliar, P., Akita, I., Schneegans, O., Hioki, M., & Rozenberg, M. J. (2022) · Journal of Physics Communications · doi:10.1088/2399-6528/ac4e2a · Cited by 13 · see citing works

Analysis of Leaky Integrate-and-Fire Neuron Using Al 2 O 3 /Si 3 N 4 Gate Insulator Stack for Spiking Neural Network

Park, M., Hwang, J., Ko, J., Kim, J., Bae, J., & Lee, J. (2024) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.4c01408 · Cited by 4 · see citing works

Implementation and Characterization of an Integrate-and-Fire Neuron Circuit Using a Silicon Nanowire Feedback Field-Effect Transistor

Woo, S., Cho, J., Lim, D., Park, Y.-S., Cho, K., & Kim, S. (2020) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2020.2995785 · Cited by 36 · see citing works

Design of Leaky Integrate and Fire Neuron for Spiking Neural Networks Using Trench Bipolar I-MOS

Lahgere, A. (2023) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2023.3278537 · Cited by 13 · see citing works

Simulation-Based Ultralow Energy and High-Speed LIF Neuron Using Silicon Bipolar Impact Ionization MOSFET for Spiking Neural Networks

Kamal, A. K., & Singh, J. (2020) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2020.2985076 · Cited by 48 · see citing works