ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.03618
  4. Cited By
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

8 November 2018
Youjie Li
Akos F. Kungl
Eric Müller
Andreas Hartel
Yannik Stradmann
Syed Ahmed Aamir
Andreas Grübl
Arthur Heimbrecht
Korbinian Schreiber
David Stöckel
Christian Pehle
Sebastian Billaudelle
Gerd Kiene
Christian Mauch
Alex Schwing
K. Meier
Mihai A. Petrovici
ArXivPDFHTML

Papers citing "Demonstrating Advantages of Neuromorphic Computation: A Pilot Study"

25 / 25 papers shown
Title
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
Ahmed Faisal Abdelrahman
Matias Valdenegro-Toro
Maren Bennewitz
Paul G. Plöger
44
0
0
08 Apr 2024
Backpropagation through space, time, and the brain
Backpropagation through space, time, and the brain
B. Ellenberger
Paul Haider
Jakob Jordan
Kevin Max
Ismael Jaras
Laura Kriener
Federico Benitez
Mihai A. Petrovici
133
8
0
25 Mar 2024
Emulating insect brains for neuromorphic navigation
Emulating insect brains for neuromorphic navigation
Korbinian Schreiber
Timo C. Wunderlich
Philipp Spilger
Sebastian Billaudelle
Benjamin Cramer
...
Christian Pehle
Eric Müller
Mihai A. Petrovici
Johannes Schemmel
Karlheinz Meier
37
0
0
31 Dec 2023
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
Achref Jaziri
Sina Ditzel
Iuliia Pliushch
Visvanathan Ramesh
SSL
49
1
0
22 Nov 2023
Addressing the speed-accuracy simulation trade-off for adaptive spiking
  neurons
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Luke Taylor
Andrew J. King
N. Harper
35
6
0
19 Nov 2023
Phenomenological modeling of diverse and heterogeneous synaptic dynamics
  at natural density
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
Agnes Korcsak-Gorzo
C. Linssen
Jasper Albers
Stefan Dasbach
Renato Duarte
...
Johanna Senk
J. Stapmanns
Tom Tetzlaff
M. Diesmann
Sacha Jennifer van Albada
10
1
0
10 Dec 2022
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays
Peng Zhou
Jason K. Eshraghian
Dong-Uk Choi
Wei D. Lu
S. Kang
19
16
0
26 Jun 2022
Relational representation learning with spike trains
Relational representation learning with spike trains
Dominik Dold
20
4
0
18 May 2022
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
35
20
0
21 Mar 2022
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
32
129
0
26 Jan 2022
Latent Equilibrium: A unified learning theory for arbitrarily fast
  computation with arbitrarily slow neurons
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider
B. Ellenberger
Laura Kriener
Jakob Jordan
Walter Senn
Mihai A. Petrovici
27
24
0
27 Oct 2021
Learning through structure: towards deep neuromorphic knowledge graph
  embeddings
Learning through structure: towards deep neuromorphic knowledge graph embeddings
Victor Caceres Chian
Marcel Hildebrandt
Thomas Runkler
Dominik Dold
GNN
21
7
0
21 Sep 2021
Noise-Robust Deep Spiking Neural Networks with Temporal Information
Noise-Robust Deep Spiking Neural Networks with Temporal Information
Seongsik Park
Dongjin Lee
Sungroh Yoon
25
14
0
22 Apr 2021
Local plasticity rules can learn deep representations using
  self-supervised contrastive predictions
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing
Jean-Paul Ventura
G. Bellec
W. Gerstner
SSL
DRL
59
70
0
16 Oct 2020
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
38
117
0
17 Sep 2020
Neuromorphic Computing for Content-based Image Retrieval
Neuromorphic Computing for Content-based Image Retrieval
Te-Yuan Liu
A. Mahjoubfar
Daniel Prusinski
Luis Stevens
VLM
24
11
0
04 Aug 2020
Spiking neuromorphic chip learns entangled quantum states
Spiking neuromorphic chip learns entangled quantum states
Stefanie Czischek
A. Baumbach
Sebastian Billaudelle
Benjamin Cramer
Lukas Kades
...
M. Oberthaler
Johannes Schemmel
Mihai A. Petrovici
T. Gasenzer
M. Gärttner
44
12
0
03 Aug 2020
hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic
  Hardware
hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
Philipp Spilger
Eric Müller
Arne Emmel
Aron Leibfried
Christian Mauch
...
Sebastian Billaudelle
Sebastian Schmitt
Timo C. Wunderlich
Yannik Stradmann
Johannes Schemmel
29
12
0
23 Jun 2020
Extending BrainScaleS OS for BrainScaleS-2
Extending BrainScaleS OS for BrainScaleS-2
Eric Müller
Christian Mauch
Philipp Spilger
O. Breitwieser
Johann Klähn
David Stöckel
Timo C. Wunderlich
Johannes Schemmel
36
24
0
30 Mar 2020
Verification and Design Methods for the BrainScaleS Neuromorphic
  Hardware System
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
Andreas Grübl
Sebastian Billaudelle
Benjamin Cramer
V. Karasenko
Johannes Schemmel
24
33
0
25 Mar 2020
Minimal spiking neuron for solving multi-label classification tasks
Minimal spiking neuron for solving multi-label classification tasks
Jakub Fil
Dominique F. Chu
LRM
39
9
0
05 Mar 2020
Versatile emulation of spiking neural networks on an accelerated
  neuromorphic substrate
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
Sebastian Billaudelle
Yannik Stradmann
Korbinian Schreiber
Benjamin Cramer
A. Baumbach
...
V. Karasenko
Walter Senn
Mihai A. Petrovici
Johannes Schemmel
K. Meier
28
45
0
30 Dec 2019
Structural plasticity on an accelerated analog neuromorphic hardware
  system
Structural plasticity on an accelerated analog neuromorphic hardware system
Sebastian Billaudelle
Benjamin Cramer
Mihai A. Petrovici
Korbinian Schreiber
David Kappel
Johannes Schemmel
K. Meier
29
21
0
27 Dec 2019
Fast and energy-efficient neuromorphic deep learning with first-spike
  times
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Goltz
Laura Kriener
A. Baumbach
Sebastian Billaudelle
O. Breitwieser
...
Á. F. Kungl
Walter Senn
Johannes Schemmel
K. Meier
Mihai A. Petrovici
40
126
0
24 Dec 2019
Accelerated physical emulation of Bayesian inference in spiking neural
  networks
Accelerated physical emulation of Bayesian inference in spiking neural networks
Á. F. Kungl
Sebastian Schmitt
Johann Klähn
Paul Müller
A. Baumbach
...
V. Karasenko
Andreas Grübl
Johannes Schemmel
K. Meier
Mihai A. Petrovici
23
35
0
06 Jul 2018
1