Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges

Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges

The two possible pathways toward artificial intelligence (AI)—(i) neuroscience-oriented neuromorphic computing [like spiking neural network (SNN)] and (ii) computer science driven machine learning (like deep learning) differ widely in their fundamental formalism and coding schemes (Pei et al., 2019)...

Full description

Bibliographic Details
Main Authors:	Sourav Dutta, Clemens Schafer, Jorge Gomez, Kai Ni, Siddharth Joshi, Suman Datta
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-06-01
Series:	Frontiers in Neuroscience
Subjects:	neuromorphic computing supervised learning surrogate gradient learning ferroelectric FET spiking neural network spiking neuron
Online Access:	https://www.frontiersin.org/article/10.3389/fnins.2020.00634/full

Similar Items

A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks
by: Yan Fang, et al.
Published: (2019-08-01)

A Supervised Learning Algorithm for Spiking Neurons Using Spike Train Kernel Based on a Unit of Pair-Spike
by: Guojun Chen, et al.
Published: (2020-01-01)

Ferroelectric Relaxation Oscillators and Spiking Neurons
by: Zheng Wang, et al.
Published: (2019-01-01)

Compartmental spiking neuron model CSNM
by: Bakhshiev, Aleksandr Valeryevich, et al.
Published: (2022-05-01)

SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training
by: Fangxin Liu, et al.
Published: (2021-11-01)

An Optimized Deep Spiking Neural Network Architecture Without Gradients
by: Yeshwanth Bethi, et al.
Published: (2022-01-01)

Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
by: Jacques Kaiser, et al.
Published: (2020-05-01)

Progress and Benchmark of Spiking Neuron Devices and Circuits
by: Fu-Xiang Liang, et al.
Published: (2021-08-01)

A Comparative Study of n- and p-Channel FeFETs with Ferroelectric HZO Gate Dielectric
by: Paul Jacob, et al.
Published: (2023-12-01)

Optically-triggered deterministic spiking regimes in nanostructure resonant tunnelling diode-photodetectors
by: Qusay Raghib Ali Al-Taai, et al.
Published: (2023-01-01)

Hybrid Spiking Fully Convolutional Neural Network for Semantic Segmentation
by: Tao Zhang, et al.
Published: (2023-08-01)

READ-Optimized 28nm HKMG Multibit FeFET Synapses for Inference-Engine Applications
by: Sourav De, et al.
Published: (2022-01-01)

A Sparsity-Driven Backpropagation-Less Learning Framework Using Populations of Spiking Growth Transform Neurons
by: Ahana Gangopadhyay, et al.
Published: (2021-07-01)

A surrogate gradient spiking baseline for speech command recognition
by: Alexandre Bittar, et al.
Published: (2022-08-01)

Co-learning synaptic delays, weights and adaptation in spiking neural networks
by: Lucas Deckers, et al.
Published: (2024-04-01)

EXODUS: Stable and efficient training of spiking neural networks
by: Felix C. Bauer, et al.
Published: (2023-02-01)

Evaluation of Bulk and SOI FeFET Architecture for Non-Volatile Memory Applications
by: Antik Mallick, et al.
Published: (2019-01-01)

Ultrathin MoS₂-Channel FeFET Memory With Enhanced Ferroelectricity in HfZrO₂ and Body-Potential Control
by: Jiawen Xiang, et al.
Published: (2022-01-01)

Exploring Optimized Spiking Neural Network Architectures for Classification Tasks on Embedded Platforms
by: Tehreem Syed, et al.
Published: (2021-05-01)

Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron
by: Dong Won Kim, et al.
Published: (2020-04-01)

Fixed charges at the HfO2/SiO2 interface: Impact on the memory window of FeFET
by: Masud Rana Sk, et al.
Published: (2023-07-01)

Generation of STDP With Non-Volatile Tunnel-FET Memory for Large-Scale and Low-Power Spiking Neural Networks
by: Hisashi Kino, et al.
Published: (2020-01-01)

Semi-Supervised Learning for Spiking Neural Networks Based on Spike-Timing-Dependent Plasticity
by: Jongseok Lee, et al.
Published: (2023-01-01)

High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology
by: Mohammad Khaleqi Qaleh Jooq, et al.
Published: (2023-01-01)

Bayesian continual learning via spiking neural networks
by: Nicolas Skatchkovsky, et al.
Published: (2022-11-01)

Spiking Neurons with Neural Dynamics Implemented Using Stochastic Memristors
by: Lekai Song, et al.
Published: (2024-01-01)

Area-Scalable 10<sup>9</sup>-Cycle-High-Endurance FeFET of Strontium Bismuth Tantalate Using a Dummy-Gate Process
by: Mitsue Takahashi, et al.
Published: (2021-01-01)

First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures
by: Siying Liu, et al.
Published: (2023-10-01)

Modeling and Investigating Total Ionizing Dose Impact on FeFET
by: Munazza Sayed, et al.
Published: (2023-01-01)

An overview of brain-like computing: Architecture, applications, and future trends
by: Wei Ou, et al.
Published: (2022-11-01)

An FPGA implementation of a polychronous spiking neural network with delay adaptation
by: Runchun Mark Wang, et al.
Published: (2013-02-01)

Efficient Erase Operation by GIDL Current for 3D Structure FeFETs With Gate Stack Engineering and Compact Long-Term Retention Model
by: Fei Mo, et al.
Published: (2022-01-01)

Modelling Neural Dynamics with Optics: A New Approach to Simulate Spiking Neurons through an Asynchronous Laser
by: Horacio Rostro-Gonzalez, et al.
Published: (2020-11-01)

Spiking Neural Networks for Computational Intelligence: An Overview
by: Shirin Dora, et al.
Published: (2021-11-01)

A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons
by: Xiangwen Wang, et al.
Published: (2019-03-01)

Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms
by: Angeliki Pantazi, et al.
Published: (2022-07-01)

Integrating Non-spiking Interneurons in Spiking Neural Networks
by: Beck Strohmer, et al.
Published: (2021-03-01)

Photonic integrated neuro-synaptic core for convolutional spiking neural network
by: Shuiying Xiang, et al.
Published: (2023-11-01)

A FeFET-Based Hybrid Memory Accessible by Content and by Address
by: Cedric Marchand, et al.
Published: (2022-01-01)

Low-Voltage Implementation of Neuromorphic Circuits for a Spike-Based Learning Control Module
by: Meysam Akbari, et al.
Published: (2022-01-01)