The MOLECULAR AND CELLULAR NEUROSCIENCE section will bring together leading scientists and young researchers with a keen interest in the latest advances at the interface of molecular and cellular biology and imaging in neuroscience. The symposia will highlight recent discoveries in the development of the nervous system, synaptic function, brain imaging, molecular and cellular mechanisms of neurological diseases. This section presents excellent opportunities for discussion, and an insight into the latest molecular neuroscience trends and technologies. 


Biophotonics is a wide-range scientific discipline that studies the phenomena and methods associated with the interaction of biological objects and photons and using different light sources to obtain information about the condition of biological objects in normal and pathological states

This section accepts abstracts on the following topics and issues:

  • Biophotonics in basic research and clinical applications
  • Biophotonics in cancer and stem cells research
  • Optical bioimaging of animal and plant cells
  • Nanophotonics
  • Optogenetics
  • Agrophotonics
  • Development of laser-spectroscopic methods for biological molecules studies
  • Optical methods in food and processing industry
  • Mathematical modeling the processes of interaction between electromagnetic radiation and matter
  • Modern devices and software for biophotonics


The topic of the section “NEURODYNAMICS AND ARTIFICIAL INTELLIGENCE” relates to the study of neural oscillations and various dynamic modes of communication of neurons, neuronal ensembles and systems in relation to the development of theories and applications of artificial intelligence.
Section topics include, but are not limited to:

  • Artificial neural networks
  • Machine learning for neuroscience
  • Evolutionary computation for neuroscience
  • Neuroinformatics
  • Multi-scale analysis in neuroscience
  • Intelligent Robotics
  • AI based data processing methods
  • Artificial intelligence in statistics


COMPUTATIONAL NEUROSCIENCE is an interdisciplinary field for development, simulation, and analysis of multi-scale mathematical models to investigate brain function.
Section topics include, but are not limited to:

  • Dynamical systems in neuroscience
  • Single neuron modeling
  • Neuronal ensembles and synchronization
  • Synaptic plasticity
  • Spiking neural networks
  • Memory, cognition and learning in computational neuroscience
  • Information theory and neural coding
  • Applications of neurocomputing
  • Brain signal analysis: methods and applications


The section will be an international platform for the exchange of scientific, educational and technical ideas and achievements between specialists, especially young scientists, working in the field of studying cognitive neuroscience. The scope of the section is broad, including research on brain mechanisms underlying attention, memory, spatial cognition, executive function, and social behavior.

“Molecular mechanisms of aging” workshop

The workshop “Molecular Mechanisms of Aging” is organized to discuss advances in various fields of research related to the study of the molecular mechanisms of aging and age-related diseases. One of the topical issues is the relationship between healthy aging and age-related pathologies – cardiovascular, neurodegenerative, oncological and others. At the same time, even in the absence of age-related diseases, the unfavorable changes progressively accumulate in the elderly, also calling for elucidation and identification of the possible preventive and theurapevtic molecular targets. Given the amount of produced multi-omics data in the field and the complexity of aging itself, the progress is hardly possible without developing advanced methods of data analysis, including machine learning and AI. 
The workshop is envisaged as an interdisciplinary forum bringing together experts from different backgrounds to exchange opinions and ideas, building collaborations that would lead to improving our understanding and potentially control of the aging process.