MiS Preprint Repository

We have decided to discontinue the publication of preprints on our preprint server as of 1 March 2024. The publication culture within mathematics has changed so much due to the rise of repositories such as ArXiV ( that we are encouraging all institute members to make their preprints available there. An institute's repository in its previous form is, therefore, unnecessary. The preprints published to date will remain available here, but we will not add any new preprints here.

MiS Preprint

Hopf bifurcation in the evolution of STDP-driven networks

Quansheng Ren, Kiran M. Kolwankar, Areejit Samal and Jürgen Jost


We study the interplay of topology and dynamics in a neural network connected with spike-timing-dependent plasticity (STDP) synapses. Stimulated with periodic spike trains, the STDP-driven network undergoes a synaptic pruning process and evolves to a residual network. We examine the variation of topological and dynamical properties of the residual network by varying two key parameters of STDP: Synaptic delay and the ratio between potentiation and depression. Our extensive numerical simulations of the Leaky Integrate-and-Fire model show that there exists two regions in the parameter space. The first corresponds to fixed point configurations, where the distribution of peak synaptic conductances and the firing rate of neurons remain constant over time. The second corresponds to oscillating configurations, where both topological and dynamical properties vary periodically which is a result of a fixed point becoming a limit cycle via a Hopf bifurcation. This leads to interesting questions regarding the implications of these rhythms in the topology and dynamics of the network for learning and cognitive processing.


Related publications

2012 Repository Open Access
Quansheng Ren, Kiran Murlidhar Kolwankar, Areejit Samal and Jürgen Jost

Hopf bifurcation in the evolution of networks driven by spike-timing-dependent plasticity

In: Physical review / E, 86 (2012) 5, p. 056103