NEUROPHOTONICS: BRAIN PHYSICS. FROM PHYSIOLOGY TO COMPUTING AND COMPLEX SYSTEMS
Preliminary program
Co-chairs:
- Oxana V. Semyachkina-Glushkovskaya, Saratov State University, Russia
- Jurgen Kurths, Physics Department, Humboldt University and Potsdam Institute for Climate Impact Research, Germany
- Thomas Penzel, Interdisciplinary Center of Sleep Medicine in Charité – Universitätsmedizin, Germany
- Valery V. Tuchin, Saratov State University, Russia; Tomsk State University, Russia; Institute of Precision Mechanics and Control of the RAS, Russia
Secretary:
- Ekaterina Borisova, Institute of Electronics, Bulgarian Academy of Sciences, Bulgaria; Saratov State University, Russia
- Andrey V. Slepnev, Saratov State University, Russia
Program Committee:
Denis Bragin, University of New Mexico, Albuquerque, USA
Vyacheslav Kalchenko, Weizmann Institute of Science, Israel
Qingming Luo, Huazhong Univ. of Sci. and Technol., China
Teemu Myllylä, University of Oulu, Oulu, Finland
Alexey Pavlov, Saratov State Technical University, Russia
Dmitry E. Postnov, Saratov State University, Russia
Edik Rafailov, Aston Institute of Photonic Technologies, UK
Andrey V. Slepnev, Saratov State University, Russia
Sergey Sokolovsky, Aston Institute of Photonic Technologies, UK
Tatyana Yakusheva, Washington University, USA
Dan Zhu, Huazhong Univ. of Sci. and Technol., China
The main goal - Session “Neurophotonics” will cover advances in optical technology applicable to study of the brain and their impact on the basic and clinical neuroscience applications with the special focus on the development of breakthrough optical technologies of transcranial photostimulation of the lymphatic system of the brain and his meninges:
- Cerebral blood flow
- Cerebral lymphatics
- Blood-brain barrier
- Brain oncology
- Brain trauma
- Neurodegenerative diseases
- Stroke
Topics:
The scientific program of the conference covers, but is not limited to, the following:
- New trends in neurophotonics
- Sleep and Brain health
- Mathematical methods and modeling of patho- and physiology of cerebral vessels;
- Photoacoustic imaging and in vivo cytometry
- Multiphoton imaging
- Optogenetics
- Raman, NIR, MIR and THz imaging of brain tumor margins
- Nonlinear analysis of electrical activity of brain
- Modeling of photostimulation of lymphatic drainage function of the brain
- Machine learning for the analysis of brain
