activity
20122026
most citedDecorrelation of neural-network activity by inhibitory feedback

210 citations · 965 across the 21 of their papers we have counts for

collaborators

21 papers

q-bio.NC2026

Learning sequence timing and control of replay speed in networks of spiking neurons

Melissa Lober, Younes Bouhadjar, Markus Diesmann +1

Processing sequential inputs is a fundamental brain function, underlying tasks such as sensory perception, language, and motor control. A challenge in sequence processing is to rep…

cs.PF2025★ 3 cited

Constructive community race: full-density spiking neural network model drives neuromorphic computing

Johanna Senk, Anno C. Kurth, Steve Furber +18

The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a mo…

cs.IR2024★ 3 cited

Metadata practices for simulation workflows

José Villamar, Matthias Kelbling, Heather L. More +4

Computer simulations are an essential pillar of knowledge generation in science. Exploring, understanding, reproducing, and sharing the results of simulations relies on tracking an…

q-bio.NC2022★ 1 cited

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density

Agnes Korcsak-Gorzo, Charl Linssen, Jasper Albers +9

This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for em…

cs.NE2022

Sequence learning in a spiking neuronal network with memristive synapses

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff +3

Brain-inspired computing proposes a set of algorithmic principles that hold promise for advancing artificial intelligence. They endow systems with self learning capabilities, effic…

q-bio.NC2022★ 4 cited

Coherent noise enables probabilistic sequence replay in spiking neuronal networks

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann +1

Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending on the context, decisions may be biased towards events that were most frequentl…