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researcher

Eric Müller

European Institute for Neuromorphic Computing, Heidelberg University

35 papers hereh-index 151.3k citations50 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author29

Across the 33 of 35 papers where every author was matched, so the position is known.

fields
  • cs.NE20
  • q-bio.NC6
  • cs.AR4
  • eess.SP3
  • cs.ET1
  • q-bio.QM1
affiliations
  • European Institute for Neuromorphic Computing, Heidelberg University
  • Kirchhoff Institute for Physics, Heidelberg University
same name
  • Eric Müller — 3 papers, h 5
  • Eric Müller — 1 paper, h 0
  • Eric Müller — 1 paper, h 1
  • Eric Müller — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedSix networks on a universal neuromorphic computing substrate

189 citations · 733 across the 35 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2023★ 17 cited

Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

Elias Arnold, Georg Böcherer, Florian Strasser +7

Neuromorphic computing implementing spiking neural networks (SNN) is a promising technology for reducing the footprint of optical transceivers, as required by the fast-paced growth…

eess.SP2022★ 4 cited

Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication

Elias Arnold, Georg Böcherer, Eric Müller +4

A spiking neural network (SNN) non-linear equalizer model is implemented on the mixed-signal neuromorphic hardware system BrainScaleS-2 and evaluated for an IM/DD link. The BER 2e-…

eess.SP2022★ 1 cited

Spiking Neural Network Equalization for IM/DD Optical Communication

Elias Arnold, Georg Böcherer, Eric Müller +4

A spiking neural network (SNN) equalizer model suitable for electronic neuromorphic hardware is designed for an IM/DD link. The SNN achieves the same bit-error-rate as an artificia…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.