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researcher

Á. F. Kungl

7 papers hereh-index 9513 citations18 works total

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

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.NE4
  • q-bio.NC3

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedBrain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network

5 citations · 5 across the 1 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.NE2018

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…

q-bio.NC2018

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

Dominik Dold, Ilja Bytschok, Akos F. Kungl +6

An increasing body of evidence suggests that the trial-to-trial variability of spiking activity in the brain is not mere noise, but rather the reflection of a sampling-based encodi…

cs.NE2018

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…

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