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03/27/2023
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design
Sparse and event-driven spiking neural network (SNN) algorithms are the ...
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10/27/2021
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks
Spiking neural networks (SNN) are delivering energy-efficient, massively...
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10/19/2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
The energy-efficient control of mobile robots is crucial as the complexi...
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03/02/2020
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware
Energy-efficient mapless navigation is crucial for mobile robots as they...
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07/02/2019
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos
While there is still a lot to learn about astrocytes and their neuromodu...
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03/06/2019
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM
Energy-efficient simultaneous localization and mapping (SLAM) is crucial...
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07/05/2018
