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most citedRevealing Network Connectivity From Dynamics

343 citations · 5.3k across the 112 of their papers we have counts for

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8 papers · 1 filter

q-bio.NC2023

Volatile Memory Motifs: Minimal Spiking Neural Networks

Fabio Schittler Neves, Marc Timme

How spiking neuronal networks encode memories in their different time and spatial scales constitute a fundamental topic in neuroscience and neuro-inspired engineering. Much attenti…

q-bio.NC2021★ 1 cited

Stochastic facilitation in heteroclinic communication channels

Giovanni Sirio Carmantini, Fabio Schittler Neves, Marc Timme +1

Biological neural systems encode and transmit information as patterns of activity tracing complex trajectories in high-dimensional state-spaces, inspiring alternative paradigms of…

q-bio.NC2018★ 36 cited

Inferring network connectivity from event timing patterns

Jose Casadiego, Dimitra Maoutsa, Marc Timme

Reconstructing network connectivity from the collective dynamics of a system typically requires access to its complete continuous-time evolution although these are often experiment…

q-bio.NC2013★ 14 cited

Guiding synchrony through random networks

Sven Jahnke, Marc Timme, Raoul-Martin Memmesheimer

Sparse random networks contain structures that can be considered as diluted feed-forward networks. Modeling of cortical circuits has shown that feed-forward structures, if strongly…

q-bio.NC2008★ 45 cited

Sequential Desynchronization in Networks of Spiking Neurons with Partial Reset

Christoph Kirst, Theo Geisel, Marc Timme

The response of a neuron to synaptic input strongly depends on whether or not it has just emitted a spike. We propose a neuron model that after spike emission exhibits a partial re…

q-bio.NC2006★ 44 cited

Designing Complex Networks

Raoul-Martin Memmesheimer, Marc Timme

We suggest a new perspective of research towards understanding the relations between structure and dynamics of a complex network: Can we design a network, e.g. by modifying the fea…