Daniel Gerlinghoff | DeepAI

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research

∙ 05/09/2023

DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs

Brain-inspired spiking neural networks (SNNs) replace the multiply-accum...

0 Myat Thu Linn Aung, et al. ∙

research

∙ 11/10/2022

Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity

Spiking neural networks (SNN) are a viable alternative to conventional a...

0 Daniel Gerlinghoff, et al. ∙

research

∙ 06/06/2022

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding

Spiking neural networks (SNNs) recently gained momentum due to their low...

0 Daniel Gerlinghoff, et al. ∙

research

∙ 11/19/2021

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs

Compiler frameworks are crucial for the widespread use of FPGA-based dee...

0 Daniel Gerlinghoff, et al. ∙