210 citations · 965 across the 21 of their papers we have counts for
3 papers · 1 filter
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
Jasper Albers, Jari Pronold, Anno Christopher Kurth +9
Modern computational neuroscience strives to develop complex network models to explain dynamics and function of brains in health and disease. This process goes hand in hand with ad…
Sequence learning, prediction, and replay in networks of spiking neurons
Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann +1
Sequence learning, prediction and replay have been proposed to constitute the universal computations performed by the neocortex. The Hierarchical Temporal Memory (HTM) algorithm re…
Prominent characteristics of recurrent neuronal networks are robust against low synaptic weight resolution
Stefan Dasbach, Tom Tetzlaff, Markus Diesmann +1
The representation of the natural-density, heterogeneous connectivity of neuronal network models at relevant spatial scales remains a challenge for Computational Neuroscience and N…