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Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks

IEEE transaction on neural networks and learning systems, 2022-05, Vol.33 (5), p.1947-1958

2022

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IEEE_Xplore

Realization of memristor and synaptic simulation behaviors based on LiNbOx

Ceramics international, 2023-03, Vol.49 (6), p.10083-10088

2023

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MoS2-based multiterminal ionic transistor with orientation-dependent STDP learning rules

Solid-state electronics, 2022-08, Vol.194, p.108386, Article 108386

2022

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Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks

IEEE journal on emerging and selected topics in circuits and systems, 2023-12, Vol.13 (4), p.1083-1093

2023

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IEEE_Xplore

Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.3988-4002

2022

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IEEE_Xplore

Realization of Storage and Synaptic Simulation Behaviors Based on Different Forming Modes

IEEE electron device letters, 2019-08, Vol.40 (8), p.1257-1260

2019

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IEEE_Xplore

An Electronic Synapse Device Based on Solid Electrolyte Resistive Random Access Memory

IEEE electron device letters, 2015-08, Vol.36 (8), p.772-774

2015

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IEEE_Xplore

Restickable Oxide Neuromorphic Transistors with Spike‐Timing‐Dependent Plasticity and Pavlovian Associative Learning Activities

Advanced functional materials, 2018-10, Vol.28 (44), p.n/a

2018

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Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics

Advanced functional materials, 2015-07, Vol.25 (27), p.4290-4299

2015

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High‐Performance Neuromorphic Computing Based on Ferroelectric Synapses with Excellent Conductance Linearity and Symmetry

Advanced functional materials, 2022-08, Vol.32 (35), p.n/a

2022

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2D Heterostructure for High‐Order Spatiotemporal Information Processing

Advanced functional materials, 2022-02, Vol.32 (7), p.n/a

2022

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A Reconfigurable Two‐WSe2‐Transistor Synaptic Cell for Reinforcement Learning

Advanced materials (Weinheim), 2022-12, Vol.34 (48), p.e2107754-n/a

2022

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STDP and STDP variations with memristors for spiking neuromorphic learning systems

Frontiers in neuroscience, 2013-01, Vol.7, p.2-2

2013

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Advanced dedicated hardware for simulating biologically inspired neural networks

48th Midwest Symposium on Circuits and Systems, 2005, 2005, p.1737-1740 Vol. 2

2005

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IEEE_Xplore

Chitosan-Based Polysaccharide-Gated Flexible Indium Tin Oxide Synaptic Transistor with Learning Abilities

ACS applied materials & interfaces, 2018-05, Vol.10 (19), p.16881-16886

2018

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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Frontiers in computational neuroscience, 2017-05, Vol.11, p.24-24

2017

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A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS

IEEE journal of solid-state circuits, 2019-04, Vol.54 (4), p.992-1002

2019

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IEEE_Xplore

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

Frontiers in neuroscience, 2015-04, Vol.9, p.141-141

2015

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A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule

Neural networks, 2020-01, Vol.121, p.387-395

2020

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Solving a classification task by spiking neural network with STDP based on rate and temporal input encoding

Mathematical methods in the applied sciences, 2020-09, Vol.43 (13), p.7802-7814

2020

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First-Spike-Based Visual Categorization Using Reward-Modulated STDP

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.6178-6190

2018

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IEEE_Xplore

STDP-Based Unsupervised Spike Pattern Learning in a Photonic Spiking Neural Network With VCSELs and VCSOAs

IEEE journal of selected topics in quantum electronics, 2019-11, Vol.25 (6), p.1-9

2019

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IEEE_Xplore

Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

Microelectronic engineering, 2018-04, Vol.190, p.44-53

Ielmini, Daniele

2018

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Neuromorphic computing using non-volatile memory

Advances in physics: X, 2017-01, Vol.2 (1), p.89-124

2017

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Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification

IEEE transaction on neural networks and learning systems, 2021-06, Vol.32 (6), p.2494-2505

2021

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IEEE_Xplore

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Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks

Realization of memristor and synaptic simulation behaviors based on LiNbOx

MoS2-based multiterminal ionic transistor with orientation-dependent STDP learning rules

Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks

Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks

Realization of Storage and Synaptic Simulation Behaviors Based on Different Forming Modes

An Electronic Synapse Device Based on Solid Electrolyte Resistive Random Access Memory

Restickable Oxide Neuromorphic Transistors with Spike‐Timing‐Dependent Plasticity and Pavlovian Associative Learning Activities

Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics

High‐Performance Neuromorphic Computing Based on Ferroelectric Synapses with Excellent Conductance Linearity and Symmetry

2D Heterostructure for High‐Order Spatiotemporal Information Processing

A Reconfigurable Two‐WSe2‐Transistor Synaptic Cell for Reinforcement Learning

STDP and STDP variations with memristors for spiking neuromorphic learning systems

Advanced dedicated hardware for simulating biologically inspired neural networks

Chitosan-Based Polysaccharide-Gated Flexible Indium Tin Oxide Synaptic Transistor with Learning Abilities

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule

Solving a classification task by spiking neural network with STDP based on rate and temporal input encoding

First-Spike-Based Visual Categorization Using Reward-Modulated STDP

STDP-Based Unsupervised Spike Pattern Learning in a Photonic Spiking Neural Network With VCSELs and VCSOAs

Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

Neuromorphic computing using non-volatile memory

Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification

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