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Mark Schöne

TU Dresden, Highly-Parallel VLSI-Systems and Neuromorphic Circuits

8 papers hereh-index 5167 citations9 works total

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

author position
  • first author2
  • middle author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV1
  • cs.ET1
  • cs.NE1
affiliations
  • TU Dresden, Highly-Parallel VLSI-Systems and Neuromorphic Circuits
ORCID 0000-0003-0148-3764
same name
  • Mark Schöne — 1 paper, h 0

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
20222025
most citedSpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

18 citations · 37 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

cs.LG2025

Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation

Sirine Arfa, Bernhard Vogginger, Chen Liu +3

Spiking Neural Networks (SNNs) are highly energy-efficient during inference, making them particularly suitable for deployment on neuromorphic hardware. Their ability to process eve…

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