Dmitrii Zendrikov

The vitals for steady nucleation maps of spontaneous spiking coherence in autonomous two-dimensional neuronal networks

The paper shows that the number, location, and activity of spontaneous spiking nucleation sites in neuronal networks depend on three distributions and can be suppressed by blocking non-pacemaker neurons.

Brain-inspired methods for achieving robust computation inheterogeneous mixed-signal neuromorphic processing systems

The paper presents brain-inspired strategies to improve reliability and robustness in neuromorphic systems by leveraging biological constraints and neural coding strategies.

Emergent population activity in metric-free and metric networks of neurons with stochastic spontaneous spikes and dynamic synapses

The paper shows that networks of neurons with stochastic spiking and dynamic synapses can produce spontaneous population spikes, mimicking respiratory rhythm without stochastic resonance.

Capturing remote activation of epilepsy source?

The paper presents a generative model of neuronal networks to investigate whether epileptic foci are internally or externally activated, showing that remote activation is possible.

A spatially resolved network spike in model neuronal cultures reveals nucleation centers, circular traveling waves and drifting spiral waves

The paper shows that spatially structured neuronal networks exhibit nucleation centers and specific wave patterns, which are absent in randomly connected networks.