665 citations · 1.4k across the 12 of their papers we have counts for
13 papers
Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks
Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag
Echo State Networks (ESN) are versatile recurrent neural network models in which the hidden layer remains unaltered during training. Interactions among nodes of this static backbon…
Brain Modelling as a Service: The Virtual Brain on EBRAINS
Michael Schirner, Lia Domide, Dionysios Perdikis +41
The Virtual Brain (TVB) is now available as open-source cloud ecosystem on EBRAINS, a shared digital research platform for brain science. It offers services for constructing, simul…
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…