Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing (original) (raw)

Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence

arianna rubino

2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2019

View PDFchevron_right

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

arianna rubino

IEEE Transactions on Circuits and Systems I: Regular Papers, 2021

View PDFchevron_right

Low-Power Silicon Neurons, Axons and Synapses

John Lazzaro

Silicon Implementation of Pulse Coded Neural Networks, 1994

View PDFchevron_right

A compact aVLSI conductance-based silicon neuron

André van Schaik

2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2015

View PDFchevron_right

Neuromorphic device based on silicon nanosheets

Yang Xu

Nature Communications, 2022

View PDFchevron_right

Energy-Efficient Neuron, Synapse and STDP Integrated Circuits

Michael Yung

IEEE Transactions on Biomedical Circuits and Systems, 2000

View PDFchevron_right

Nanodevice-based novel computing paradigms and the neuromorphic approach

Claude Chappert

2012 IEEE International Symposium on Circuits and Systems, 2012

View PDFchevron_right

A Low-Power High-Speed Spintronics-Based Neuromorphic Computing System Using Real-Time Tracking Method

Sadaf Farkhani

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

View PDFchevron_right

Sub-0.3V CMOS neuromorphic technology and its potential application

Michel Paindavoine

2021

View PDFchevron_right

Low-Power Neuromorphic Hardware for Signal Processing Applications: A Review of Architectural and System-Level Design Approaches

Narayan Srinivasa

IEEE Signal Processing Magazine, 2019

View PDFchevron_right

Neuromorphic Silicon Neuron Circuits

Giacomo Indiveri

Frontiers in Neuroscience, 2011

View PDFchevron_right

Emerging Memory Devices for Neuromorphic Computing

Joshua Yang

Advanced Materials Technologies

View PDFchevron_right

Emulating synaptic response in n- and p-channel MoS2 transistors by utilizing charge trapping dynamics

Shubhadeep Bhattacharjee

Scientific Reports

View PDFchevron_right

Emerging Artificial Synaptic Devices for Neuromorphic Computing

Mohammad Taghi Sharbati

Advanced Materials Technologies, 2019

View PDFchevron_right

A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons

José Tierno

2011 IEEE Custom Integrated Circuits Conference (CICC), 2011

View PDFchevron_right

A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm

Filipp Akopyan

2011 IEEE Custom Integrated Circuits Conference (CICC), 2011

View PDFchevron_right

Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons

BAIBHAB CHATTERJEE

ArXiv, 2018

View PDFchevron_right

A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch

André van Schaik

IEEE Transactions on Circuits and Systems I-regular Papers, 2016

View PDFchevron_right

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

Yang-kyu Choi

Science Advances

View PDFchevron_right

A 65-nm Neuromorphic Image Classification Processor With Energy-Efficient Training Through Direct Spike-Only Feedback

Jeongwoo Park

IEEE Journal of Solid-State Circuits, 2019

View PDFchevron_right

Electrical Tunability of Partially Depleted Silicon on Insulator (PD-SOI) Neuron

Sangya Dutta

Solid-State Electronics, 2019

View PDFchevron_right

A Solid-State Neuron for Spiking Neural Network Implementation

Octavian Buiu

Engineering Letters, 2008

View PDFchevron_right

An exploration of neuromorphic systems and related design issues/challenges in dark silicon era

Mudit Chandaliya

IOP Conference Series: Materials Science and Engineering, 2018

View PDFchevron_right

Tunable Low Energy, Compact and High Performance Neuromorphic Circuit for Spike-Based Synaptic Plasticity

Nicolangelo Iannella, Derek Abbott

View PDFchevron_right

Low‐Voltage Oscillatory Neurons for Memristor‐Based Neuromorphic Systems

Qilin Hua

Global Challenges

View PDFchevron_right

An improved silicon neuron

Rodney Douglas

Analog integrated circuits and signal processing, 2000

View PDFchevron_right

Energy efficient fJ/spike LTS e-Neuron using 55-nm node

Aziz Benlarbi-delai

Proceedings of the 32nd Symposium on Integrated Circuits and Systems Design, 2019

View PDFchevron_right

Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology

GADAMSETTY MURALIDHAR GADAMSETTY MURALIDHAR

View PDFchevron_right

The active semiconductor neurons for nanoelectronics and parallel computation

A. Nogaret

View PDFchevron_right

A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons

Jack Meador

Neural Information Processing Systems, 1988

View PDFchevron_right