output
20082022
most citedEvent-based Vision: A Survey

2.3k citations

Showing 2021Show all

5 papers · 1 filter

cs.AR2021★ 49 cited

Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

Chang Gao, Tobi Delbruck, Shih-Chii Liu

Long Short-Term Memory (LSTM) recurrent networks are frequently used for tasks involving time-sequential data such as speech recognition. Unlike previous LSTM accelerators that eit…

cs.NE2021★ 41 cited

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware

Alpha Renner, Forrest Sheldon, Anatoly Zlotnik +2

The capabilities of natural neural systems have inspired new generations of machine learning algorithms as well as neuromorphic very large-scale integrated (VLSI) circuits capable…

cs.NE2021★ 101 cited

Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence

Charlotte Frenkel, David Bol, Giacomo Indiveri

While Moore's law has driven exponential computing power expectations, its nearing end calls for new avenues for improving the overall system performance. One of these avenues is t…

cs.ET2021★ 16 cited

Robust neuromorphic coupled oscillators for adaptive pacemakers

Renate Krause, Joanne J. A. van Bavel, Chenxi Wu +3

Neural coupled oscillators are a useful building block in numerous models and applications. They were analyzed extensively in theoretical studies and more recently, in biologically…

cs.LG2021★ 5 cited

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

Julian Büchel, Dmitrii Zendrikov, Sergio Solinas +2

Mixed-signal analog/digital circuits emulate spiking neurons and synapses with extremely high energy efficiency, an approach known as "neuromorphic engineering". However, analog ci…