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Brain-Inspired Learning on Neuromorphic Substrates

Proceedings of the IEEE, 2021-05, Vol.109 (5), p.935-950

2021

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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

Frontiers in neuroscience, 2017-06, Vol.11, p.324-324

2017

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Data and Power Efficient Intelligence with Neuromorphic Learning Machines

iScience, 2018-07, Vol.5, p.52-68

Neftci, Emre O.

2018

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Visualizing a joint future of neuroscience and neuromorphic engineering

Neuron (Cambridge, Mass.), 2021-02, Vol.109 (4), p.571-575

2021

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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Frontiers in neuroscience, 2016-06, Vol.10, p.241-241

2016

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Training Spiking Neural Networks Using Lessons From Deep Learning

Proceedings of the IEEE, 2023-09, Vol.111 (9), p.1016-1054

2023

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Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

Frontiers in neuroscience, 2019-04, Vol.13, p.357-357

2019

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Reinforcement learning in artificial and biological systems

Nature machine intelligence, 2019-03, Vol.1 (3), p.133-143

2019

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Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing

Frontiers in neuroscience, 2020-04, Vol.14, p.276-276

2020

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ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware

Neuromorphic computing and engineering, 2024-09, Vol.4 (3), p.34006

2024

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PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems

Frontiers in neuroinformatics, 2014-08, Vol.8, p.73-73

2014

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Meta-learning spiking neural networks with surrogate gradient descent

Neuromorphic computing and engineering, 2022-12, Vol.2 (4), p.44002

2022

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HyperSpikeASIC : Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks

IEEE transactions on computer-aided design of integrated circuits and systems, 2023-11, Vol.42 (11), p.3997-4010

2023

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On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks

IEEE journal on emerging and selected topics in circuits and systems, 2020-12, Vol.10 (4), p.522-535

2020

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Spiking Neural Network Learning, Benchmarking, Programming and Executing

2020

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Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays

2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020, p.218-222

2020

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Accelerating Event-based Workloads with HyperDimensional Computing and Spiking Neural Networks

IEEE transactions on computer-aided design of integrated circuits and systems, 2023-03, p.1-1

2023

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Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

IEEE signal processing magazine, 2019-11, Vol.36 (6), p.51-63

2019

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Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware

Proceedings of the 2022 Annual Neuro-Inspired Computational Elements Conference, 2022, p.88-97

2022

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Brain-Inspired Learning on Neuromorphic Substrates

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

Data and Power Efficient Intelligence with Neuromorphic Learning Machines

Visualizing a joint future of neuroscience and neuromorphic engineering

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Training Spiking Neural Networks Using Lessons From Deep Learning

Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

Reinforcement learning in artificial and biological systems

Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing

ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware

PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems

Meta-learning spiking neural networks with surrogate gradient descent

HyperSpikeASIC : Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks

On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks

Spiking Neural Network Learning, Benchmarking, Programming and Executing

Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays

Accelerating Event-based Workloads with HyperDimensional Computing and Spiking Neural Networks

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware

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