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hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling
  on BrainScaleS-2

hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2

23 December 2022
Philipp Spilger
E. Arnold
Luca Blessing
Christian Mauch
Christian Pehle
Eric Müller
Johannes Schemmel
ArXivPDFHTML

Papers citing "hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2"

5 / 5 papers shown
Title
Causal pieces: analysing and improving spiking neural networks piece by piece
Causal pieces: analysing and improving spiking neural networks piece by piece
Dominik Dold
Philipp Christian Petersen
CML
38
0
0
18 Apr 2025
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic
  Hardware
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
Eric Müller
Moritz Althaus
E. Arnold
Philipp Spilger
Christian Pehle
Johannes Schemmel
21
5
0
30 Jan 2024
Neuromorphic Intermediate Representation: A Unified Instruction Set for
  Interoperable Brain-Inspired Computing
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens Egholm Pedersen
Steven Abreu
Matthias Jobst
Gregor Lenz
Vittorio Fra
...
Gianvito Urgese
Sadasivan Shankar
Terrence C. Stewart
Jason Eshraghian
Sadique Sheik
29
30
0
24 Nov 2023
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
Eric Müller
E. Arnold
O. Breitwieser
Milena Czierlinski
Arne Emmel
...
V. Karasenko
Mitja Kleider
Aron Leibfried
Christian Pehle
Johannes Schemmel
29
20
0
21 Mar 2022
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
119
481
0
26 Mar 2018
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