Detail Project and Funding

Abstract: Electrically excitable cells are present in many multicellular organisms, especially in brains of animals, but they are also present in lower animals lacking central nervous system as sponges or in animals having excitable epithelia, which can conduct signals (neuroid conduction). Conducted electrical events serve for translation of environmental parameters and cues, obtained via sensory systems, into biological information and processes. Living organism uses electric signal to encode sensory information and prepare it for further processing what results with a specific actions (behaviour) or with memory storage in cellular network. Understanding of physical basis of information processing in living organism is an important aim of the modern neuroscience. The most common way for uncovering the response organization is observation of cell cultures under particular conditions. Such conditions can refer to different type of environmental stimuli, like chemicals, temperature, light intensity including gravity. The main aim of the project is the study of, through the model systems, the ability of living organisms to adapt to a new environment in terms of a proper information processing of external stimuli and memory processes.

The Scientific Results:
1) Spatiotemporal dynamics of the electrical network activity in the root apex
2) Control of transient synchronization with external stimuli
3) Spike synchronization of chaotic oscillators as a phase transition
4) Predict-prevent control method for perturbed excitable systems
5) Chaotic spiking and incomplete homoclinic scenarios in semiconductor lasers with optoelectronic feedback
6) Stochastic incoherence in the response of rebound bursters
7) Excitability of periodic and chaotic attractors in semiconductor lasers with optoelectronic feedback
8) Synaptic plasticity modulates autonomous transitions between waking and sleep states: Insights from a Morris-Lecar model
9) Optoelectronic Feedback in Semiconductor Light Sources: Optimization of Network Components for Synchronization
10) Mixed-mode oscillations via canard explosions in light-emitting diodes with optoelectronic feedback
11) Swarming Behavior in Plant Roots
12) Chaotic and mixed mode oscillation scenarios in semiconductor devices: Generation and synchronization
13) Control of chaos in driven Fitzhugh-Nagumo circuit by means of filtered feedback