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Stochasticity from function -- why the Bayesian brain may need no noise
v1v2v3 (latest)

Stochasticity from function -- why the Bayesian brain may need no noise

21 September 2018
Dominik Dold
Ilja Bytschok
Á. F. Kungl
A. Baumbach
O. Breitwieser
Walter Senn
Johannes Schemmel
K. Meier
Mihai A. Petrovici
ArXiv (abs)PDFHTML

Papers citing "Stochasticity from function -- why the Bayesian brain may need no noise"

10 / 10 papers shown
Title
Is artificial consciousness achievable? Lessons from the human brain
Is artificial consciousness achievable? Lessons from the human brain
M. Farisco
K. Evers
J. Changeux
83
7
0
18 Apr 2024
Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons
Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons
Sidi Yaya Arnaud Yarga
Sean U. N. Wood
73
9
0
22 Jun 2023
Variational learning of quantum ground states on spiking neuromorphic
  hardware
Variational learning of quantum ground states on spiking neuromorphic hardware
Robert Klassert
A. Baumbach
Mihai A. Petrovici
M. Gärttner
59
7
0
30 Sep 2021
SpikE: spike-based embeddings for multi-relational graph data
SpikE: spike-based embeddings for multi-relational graph data
Dominik Dold
J. Garrido
GNN
61
10
0
27 Apr 2021
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
61
12
0
03 Aug 2020
Cortical oscillations implement a backbone for sampling-based
  computation in spiking neural networks
Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks
Agnes Korcsak-Gorzo
Michael G. Müller
A. Baumbach
Luziwei Leng
O. Breitwieser
Sacha Jennifer van Albada
Walter Senn
K. Meier
Robert Legenstein
Mihai A. Petrovici
28
11
0
19 Jun 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
83
46
0
30 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
161
132
0
24 Dec 2019
An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications
Hyeryung Jang
Osvaldo Simeone
Brian Gardner
André Grüning
52
2
0
10 Dec 2018
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
53
36
0
06 Jul 2018
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