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Gradient-based methods for spiking physical systems

Gradient-based methods for spiking physical systems

29 August 2023
Julian Goltz
Sebastian Billaudelle
Laura Kriener
Luca Blessing
Christian Pehle
Eric Müller
Johannes Schemmel
Mihai A. Petrovici
    AI4CE
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Papers citing "Gradient-based methods for spiking physical systems"

5 / 5 papers shown
Title
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
Christian Pehle
Sebastian Billaudelle
Benjamin Cramer
Jakob Kaiser
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Aron Leibfried
Eric Müller
Johannes Schemmel
46
133
0
26 Jan 2022
The Yin-Yang dataset
The Yin-Yang dataset
Laura Kriener
Julian Goltz
Mihai A. Petrovici
3DH
39
19
0
16 Feb 2021
Event-Based Backpropagation can compute Exact Gradients for Spiking
  Neural Networks
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks
Timo C. Wunderlich
Christian Pehle
71
119
0
17 Sep 2020
Surrogate gradients for analog neuromorphic computing
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer
Sebastian Billaudelle
Simeon Kanya
Aron Leibfried
Andreas Grubl
...
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Johannes Schemmel
Friedemann Zenke
68
107
0
12 Jun 2020
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
87
1,234
0
28 Jan 2019
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