296 citations · 1.7k across the 65 of their papers we have counts for
3 papers · 1 filter
Stochastic inference with deterministic spiking neurons
Mihai A. Petrovici, Johannes Bill, Ilja Bytschok +2
The seemingly stochastic transient dynamics of neocortical circuits observed in vivo have been hypothesized to represent a signature of ongoing stochastic inference. In vitro neuro…
Neuromorphic Learning towards Nano Second Precision
Thomas Pfeil, Anne-Christine Scherzer, Johannes Schemmel +1
Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especiall…
Reward-based learning under hardware constraints - Using a RISC processor embedded in a neuromorphic substrate
Simon Friedmann, Nicolas Frémaux, Johannes Schemmel +2
In this study, we propose and analyze in simulations a new, highly flexible method of implementing synaptic plasticity in a wafer-scale, accelerated neuromorphic hardware system. T…