665 citations · 1.4k across the 12 of their papers we have counts for
9 papers · 1 filter
Bringing Anatomical Information into Neuronal Network Models
Sacha Jennifer van Albada, Aitor Morales-Gregorio, Timo Dickscheid +6
For constructing neuronal network models computational neuroscientists have access to wide-ranging anatomical data that nevertheless tend to cover only a fraction of the parameters…
Full-density multi-scale account of structure and dynamics of macaque visual cortex
Maximilian Schmidt, Rembrandt Bakker, Kelly Shen +4
We present a multi-scale spiking network model of all vision-related areas of macaque cortex that represents each area by a full-scale microcircuit with area-specific architecture.…
A predictive structural model of the primate connectome
Sarah F. Beul, Helen Barbas, Claus C. Hilgetag
Anatomical connectivity imposes strong constraints on brain function, but there is no general agreement about principles that govern its organization. Based on extensive quantitati…
Perspective: network-guided pattern formation of neural dynamics
Marc-Thorsten Huett, Marcus Kaiser, Claus C. Hilgetag
The understanding of neural activity patterns is fundamentally linked to an understanding of how the brain's network architecture shapes dynamical processes. Established approaches…
Topological determinants of self-sustained activity in a simple model of excitable dynamics on graphs
C. Fretter, A. Lesne, C. C. Hilgetag +1
Models of simple excitable dynamics on graphs are an efficient framework for studying the interplay between network topology and dynamics. This subject is a topic of practical rele…
A simple rule for axon outgrowth and synaptic competition generates realistic connection lengths and filling fractions
Marcus Kaiser, Claus C. Hilgetag, Arjen van Ooyen
Neural connectivity at the cellular and mesoscopic level appears very specific and is presumed to arise from highly specific developmental mechanisms. However, there are general sh…
Criticality of spreading dynamics in hierarchical cluster networks without inhibition
Marcus Kaiser, Matthias Goerner, Claus C. Hilgetag
An essential requirement for the representation of functional patterns in complex neural networks, such as the mammalian cerebral cortex, is the existence of stable network activat…
Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems
Marcus Kaiser, Claus C. Hilgetag
It has been suggested that neural systems across several scales of organization show optimal component placement, in which any spatial rearrangement of the components would lead to…
Edge vulnerability in neural and metabolic networks
Marcus Kaiser, Claus C. Hilgetag
Biological networks, such as cellular metabolic pathways or networks of corticocortical connections in the brain, are intricately organized, yet remarkably robust toward structural…