activity
20072026
most citedRecurrent Interactions in Spiking Networks with Arbitrary Topology

77 citations · 330 across the 17 of their papers we have counts for

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11 papers · 1 filter

q-bio.NC2026

Rewiring of adult neural networks - learning from structural plasticity across multiple scales

Michael Fauth, Han Lu, Jannik Luboeinski +36

Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology…

q-bio.NC2020★ 2 cited

Spike Train Cumulants for Linear-Nonlinear Poisson Cascade Models

Michael Kordovan, Stefan Rotter

Spiking activity in cortical networks is nonlinear in nature. The linear-nonlinear cascade model, some versions of which are also known as point-process generalized linear model, c…

q-bio.NC2018

Bifurcation analysis of the dynamics of interacting populations of spiking networks

Fereshteh Lagzi, Fatihcan M. Atay, Stefan Rotter

We analyze the collective dynamics of hierarchically structured networks of densely connected spiking neurons. These networks of sub-networks may represent interactions between cel…

q-bio.NC2017★ 24 cited

From Correlation to Causation: Estimation of Effective Connectivity from Continuous Brain Signals based on Zero-Lag Covariance

Jonathan Schiefer, Alexander Niederbühl, Volker Pernice +4

Knowing brain connectivity is of great importance both in basic research and for clinical applications. We are proposing a method to infer directed connectivity from zero-lag covar…

q-bio.NC2017★ 49 cited

Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks

Júlia V Gallinaro, Stefan Rotter

Correlation-based Hebbian plasticity is thought to shape neuronal connectivity during development and learning, whereas homeostatic plasticity would stabilize network activity. Her…

q-bio.NC2016★ 2 cited

Joint Statistics of Strongly Correlated Neurons via Dimensional Reduction

Taskin Deniz, Stefan Rotter

The relative timing of action potentials in neurons recorded from local cortical networks often shows a non-trivial dependence, which is then quantified by cross-correlation functi…