◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Schemmel

69 papers hereh-index 408k citations167 works total

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

author position
  • first author2
  • middle author44
  • last author21

Across the 67 of 69 papers where every author was matched, so the position is known.

fields
  • cs.NE28
  • q-bio.NC27
  • cs.AR4
  • cs.ET4
  • eess.SP3
  • cs.PF1

identity via Semantic Scholar / OpenAlex

activity
20092026
most citedThe Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

296 citations · 1.7k across the 65 of their papers we have counts for

collaborators
Showing 2018 · cs.NEShow all

3 papers · 2 filters

cs.NE2018★ 138 cited

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Timo Wunderlich, Akos F. Kungl, Eric Müller +14

Neuromorphic devices represent an attempt to mimic aspects of the brain's architecture and dynamics with the aim of replicating its hallmark functional capabilities in terms of com…

cs.NE2018★ 41 cited

Accelerated physical emulation of Bayesian inference in spiking neural networks

Akos F. Kungl, Sebastian Schmitt, Johann Klähn +21

The massively parallel nature of biological information processing plays an important role for its superiority to human-engineered computing devices. In particular, it may hold the…

cs.NE2018★ 1 cited

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain

Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs +12

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuro…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.