activity
20122018
most citedAutomated point-neuron simplification of data-driven microcircuit models

28 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.NC2018

Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

Michael Schmuker, Rüdiger Kupper, Ad Aertsen +2

In studies of the visual system as well as in computer vision, the focus is often on contrast edges. However, the primate visual system contains a large number of cells that are in…

q-bio.NC2016★ 28 cited

Automated point-neuron simplification of data-driven microcircuit models

Christian Rössert, Christian Pozzorini, Giuseppe Chindemi +13

A method is presented for the reduction of morphologically detailed microcircuit models to a point-neuron representation without human intervention. The simplification occurs in a…

q-bio.NC2015

A sparse reformulation of the Green's function formalism allows efficient simulations of partial differential equations on tree graphs

Willem A. M. Wybo, Daniele Boccalini, Benjamin Torben-Nielsen +1

We prove that when a class of partial differential equations, generalized from the cable equation, is defined on tree graphs, and when the inputs are restricted to a spatially disc…

q-bio.NC2013★ 1 cited

Self-sustained activity, bursts, and variability in recurrent networks

Marc-Oliver Gewaltig

There is consensus in the current literature that stable states of asynchronous irregular spiking activity require (i) large networks of 10 000 or more neurons and (ii) external ba…

q-bio.NC2012

Current practice in software development for computational neuroscience and how to improve it

Marc-Oliver Gewaltig, Robert Cannon

Almost all research work in computational neuroscience involves software. As researchers try to understand ever more complex systems, there is a continual need for software with ne…