Domain structured dynamics introduces a way for analysis of chaos in fractals, neural
networks and random processes. It starts with newly invented abstract similarity sets and …

This is the first time that the method for the investigation of unpredictable solutions of
differential equations has been extended to unpredictable oscillations of neural networks …

Resonance of both subthreshold and suprathreshold membrane potentials has been found
in brain or motor neurons involving in the information processing or locomotion control via …

We systematically investigate the response of neurons to oscillatory currents and synaptic-
like inputs and we extend our investigation to non-structured synaptic-like spiking inputs with …

Neocortical interneurons provide inhibition responsible for organizing neuronal activity into
brain oscillations that subserve cognitive functions such as memory, attention, or prediction …

Covalent modification cycles (CMCs) are basic units of signaling systems and their
properties are well understood. However, their behavior has been mostly characterized in …

The interaction between synaptic and intrinsic dynamics can efficiently shape neuronal input–
output relationships in response to temporally structured spike trains. We use a neuron …

The communication of oscillatory activity between neurons in a network result from the
interplay of the subthreshold oscillatory properties of the participating neurons, when they …

El modelo de dínamo magnetohidrodinámico (MHD) es el más aceptado para describir el
origen de los campos magnéticos celestes. Cualitativamente, el mismo propone que en una …

In der vorliegenden Dissertation werden partiell passivierte, dreidimensionale
Nanohohlnadeln zur elektrischen Kontaktierung des Zytosoma entwickelt und evaluiert. Die …