activity
20142026
most citedA probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition

23 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition

Ivaxi Sheth, Zeno Jonke, Amin Mantrach +1

As large language models are increasingly deployed across diverse real-world applications, extending automated evaluation beyond English has become a critical challenge. Existing e…

cs.CL2025

Multilingual Self-Taught Faithfulness Evaluators

Carlo Alfano, Aymen Al Marjani, Zeno Jonke +3

The growing use of large language models (LLMs) has increased the need for automatic evaluation systems, particularly to address the challenge of information hallucination. Althoug…

q-bio.NC2017★ 23 cited

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…

q-bio.NC2017★ 1 cited

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…

cs.NE2014★ 4 cited

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…