49 citations · 167 across the 22 of their papers we have counts for
5 papers · 1 filter
Synchronization in STDP-driven memristive neural networks with time-varying topology
Marius E. Yamakou, Mathieu Desroches, Serafim Rodrigues
Synchronization is a widespread phenomenon in the brain. Despite numerous studies, the specific parameter configurations of the synaptic network structure and learning rules needed…
Combined effects of STDP and homeostatic structural plasticity on coherence resonance
Marius E. Yamakou, Christian Kuehn
Efficient processing and transfer of information in neurons have been linked to noise-induced resonance phenomena such as coherence resonance (CR), and adaptive rules in neural net…
Quantifying and maximizing the information flux in recurrent neural networks
Claus Metzner, Marius E. Yamakou, Dennis Voelkl +2
Free-running Recurrent Neural Networks (RNNs), especially probabilistic models, generate an ongoing information flux that can be quantified with the mutual information $I\left[\vec…
Coherence resonance and stochastic synchronization in a small-world neural network: An interplay in the presence of spike-timing-dependent plasticity
Marius E. Yamakou, Estelle M. Inack
Coherence resonance (CR), stochastic synchronization (SS), and spike-timing-dependent plasticity (STDP) are ubiquitous dynamical processes in biological neural networks. Whether th…
Optimal self-induced stochastic resonance in multiplex neural networks: electrical versus chemical synapses
Marius E. Yamakou, Poul G. Hjorth, Erik A. Martens
Electrical and chemical synapses shape the dynamics of neural networks and their functional roles in information processing have been a longstanding question in neurobiology. In th…