8
Publications
417
Citations
8
H-Index
2019
Active since
Affiliations
Ákos F. Kungl is an author at Heidelberg University specializing in computational neuroscience, social sciences, and neuroscience.
Top concepts
NeuroscienceSocial SciencesComputational NeuroscienceEngineeringComputer ScienceNeuromorphic ComputingNeuromorphic EngineeringCognitive ScienceEnergy ConsumptionComputer Engineering
Publications per year
2019–2023
8
8
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
Timo C. Wunderlich, Ákos F. Kungl, Eric Müller et al. · Frontiers in Neuroscience · 2019 · 136 citations · Full text
Fast and energy-efficient neuromorphic deep learning with first-spike\n times
Julian Göltz, Laura Kriener, Andreas Baumbach et al. · arXiv (Cornell University) · 2019 · 127 citations · Full text
Stochasticity from function — Why the Bayesian brain may need no noise
Dominik Dold, Ilja Bytschok, Ákos F. Kungl et al. · Neural Networks · 2019 · 32 citations · Full text
Fast and deep neuromorphic learning with first-spike coding
Julian Göltz, Andreas Baumbach, Sebastian Billaudelle et al. · 2020 · 23 citations
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