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Scientific Research Institute of Neuroscience

The Neuroscience Research Institute is a university structure that translocates scientific knowledge into digital neurotechnologies, and then into high—tech developments for practical healthcare and neuro education.

The Institute's staff includes leading Russian and foreign neuroscience researchers.

We invite you to cooperate!

Zakharov, Alexander Vladimirovich

Director of the Research Institute, Candidate of Medical Sciences, Associate Professor

Contacts

443079, Samara, Gagarin St., 18

+7 846 374-10-04 ext. 4548

a.v.zaharov@samsmu.ru

The Research Institute was established on 02/01/2021 by the Order of the Rector of SamSMU No. 25 dated 01/28/2021 on the basis of the Decision of the Academic Council of SamSMU on 11/27/2020.

The Research Institute of Neuroscience includes:

Director

Kazantsev Victor Borisovich
Head of the Laboratory, Head of the Department of Neurotechnology at Lobachevsky University (Nizhny Novgorod), Doctor of Physico-Mathematical Sciences, Associate Professor.

Laboratory staff

The laboratory's mission

Development of neural network mathematical models that simulate the work of neural systems of the brain.

A scientific hypothesis solved by the laboratory

The realization of information functions in the brain is associated with the formation and maintenance of spatiotemporal activation patterns of neural networks of a certain configuration. The dynamic mechanisms of these processes are related both to the processes of synaptic plasticity and to the activity of slow glial and matrix structures involved in tuning networks to a specific function.

Scientific directions
  • Spike neural networks in learning and memory modeling tasks;
  • Mathematical modeling of neuron-glia-matrix interactions in the brain;
  • Neural network dynamic models of epidemic spread.
Research methods

Development of computing complexes and simulators that calculate mathematical models.

Modeling of neurosystems through the construction of multidimensional systems of ordinary differential equations;

Methods of nonlinear dynamics and bifurcation analysis for the study of dynamic modes of network operation;

Director

Vasily Fyodorovich Pyatin
Head of the Laboratory, Doctor of Medical Sciences, Professor, Honored Scientist of the Samara region

Laboratory staff

The laboratory's mission

The study of the multilevel functional organization of the central nervous system and the transfer of acquired knowledge to various fields of medicine.

A scientific hypothesis solved by the laboratory

Activation of neuroplasticity through stimulation of various sensory systems. The study of the multilevel functional organization of the motor system in order to identify significant ways of its activation or restoration in various pathologies.

Research directions
  • The study of effective sensory modulation for sensorimotor activation of various levels of the motor system in normal and pathological conditions.
  • The study of the fundamental aspects and practical application of sensory immersion in VR.
  • NCI in the pathology of the visual analyzer, methods of correcting visual impairments at various levels of damage.
Research methods

Neurophysiological research methods: EEG, multimodal VP, TMS, BIC spectroscopy; neuroimaging methods: fMRI.

Director

Igor Viktorovich Shirolapov — Head of the laboratory, Candidate of Medical Sciences, Associate Professor.

The laboratory's mission

The laboratory's mission is to develop innovative methods for the diagnosis, treatment and prevention of diseases based on personalized medicine and translational research.

A scientific hypothesis solved by the laboratory

The scientific hypothesis being solved by the Laboratory of Translational Research and Personalized Medicine may be related to the assumption that a personalized approach to medicine based on patient data can significantly improve the results of treatment and prevention of socially significant diseases.

Research directions

The study of genetic, metabolic, immunological and other patient data to determine the most effective approach to the treatment of neurodegenerative diseases and the prevention of cognitive age-related changes. Analysis of multimodal big data using machine learning and AI.

Research methods

Bioinformatic approaches to the early diagnosis of neurodegenerative diseases using the results of neuropsychological testing, functional (EEG, fBICS) and neuroimaging (MRI) methods.

Director

Romanchuk Natalia Petrovna — Head of the laboratory, Candidate of Medical Sciences, Associate Professor.

The laboratory's mission

Development of neuromorphic systems through interdisciplinary collaboration, innovation, reverse engineering, and ethical evaluation.

A scientific hypothesis solved by the laboratory

Effective emulation of biological neural networks in neuromorphic systems is transforming computer technology, having a transformative impact on the future of artificial intelligence, robotics, and cognitive computing.

Research directions
  • understanding the principles governing the functioning of biological neural systems and their application in the design and development of neuromorphic systems;
  • Eliminating computational limitations by developing new neuromorphic hardware and software architectures that perform cognitive tasks more efficiently than traditional computational approaches.;
  • research and development of neuromorphic systems in artificial intelligence, robotics and other fields where imitation of human cognitive abilities can lead to significant progress;
  • consideration and elimination of ethical consequences related to the development and application of neuromorphic systems.
Research methods

Benchmarking and comparative performance studies of neuromorphic systems with traditional architectures.

Neuroscience design research for the development of neuromorphic architectures;

creating an infrastructure for interdisciplinary collaboration in order to create a holistic approach to the development of neuromorphic systems;

experimental validation;

mathematical modeling;

investigation of the ethical and social consequences of the introduction of neuromorphic technologies;

creating an infrastructure for continuous learning in neuromorphic systems;

Research Institute projects

Direction: Digital neurorehabilitation with neurosystems for assessing the quality of life of people with disabilities (neurointerfaces and neurotechnologies, clinical biomechanics, neurosociology and neuromarketing)

Stages:

  • TMS-EEG study of working memory function;
  • TMS-EEG study of cognitive characteristics of patients with neurodegenerative diseases;
  • Neural mechanisms of social behavior and cognitive functions in immersive environments;
  • Neuromarketing of distance education products;
  • Neural mechanisms of social behavior in immersive environments;
  • Neuromarketing of distance education products;
  • Clinical recommendations for the activation of working memory in the treatment of cognitive disorders of various origins;
  • Technology of diagnosis and development of empathy.
Direction: New neurotechnologies for restoring the functions of local parts of the human motor system (bionic prosthesis, neuro-repair)

Stages:

  • Search for promising biomarkers of the main pathological processes;
  • Formation of technical capabilities for obtaining mesenchymal stem cells;
  • Obtaining a protocol for the integrated use of cellular technologies and neuromodulation;
  • Creating a "phantom brush map";
  • The "Exteroception modulator";
  • APC "BP+modulator of exteroception";
  • Creation of a technology for the combined use of cellular technologies and neuromodulation.
Direction: Breakthrough neurotechnology of 3D control of motor function of persons with disabilities based on artificial intelligence

Stages:

  • AI in the assessment of CNS pathology;
  • AI for determining the functional state of the central nervous system;
  • «EMGSTIM», «EMGSTIM2»;
  • Muscular synergies of the arms and shoulder girdle;
  • EEG correlates of motor acts.

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