142 citations · 173 across the 6 of their papers we have counts for
6 papers
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
Stefano Zorzi, Shabab Bazrafkan, Stefan Habenschuss +1
While most state-of-the-art instance segmentation methods produce binary segmentation masks, geographic and cartographic applications typically require precise vector polygons of e…
A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition
Robert Legenstein, Zeno Jonke, Stefan Habenschuss +1
Previous theoretical studies on the interaction of excitatory and inhibitory neurons proposed to model this cortical microcircuit motif as a so-called Winner-Take-All (WTA) circuit…
Feedback inhibition shapes emergent computational properties of cortical microcircuit motifs
Zeno Jonke, Robert Legenstein, Stefan Habenschuss +1
Cortical microcircuits are very complex networks, but they are composed of a relatively small number of stereotypical motifs. Hence one strategy for throwing light on the computati…
A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning
David Kappel, Robert Legenstein, Stefan Habenschuss +2
Synaptic connections between neurons in the brain are dynamic because of continuously ongoing spine dynamics, axonal sprouting, and other processes. In fact, it was recently shown…
Network Plasticity as Bayesian Inference
David Kappel, Stefan Habenschuss, Robert Legenstein +1
General results from statistical learning theory suggest to understand not only brain computations, but also brain plasticity as probabilistic inference. But a model for that has b…
A theoretical basis for efficient computations with noisy spiking neurons
Zeno Jonke, Stefan Habenschuss, Wolfgang Maass
Network of neurons in the brain apply - unlike processors in our current generation of computer hardware - an event-based processing strategy, where short pulses (spikes) are emitt…