Brief release

SINN has established itself as a leading institution in research and training in methods based on natural neurostimulation. Since its founding, SINN has been committed to imparting in-depth knowledge and driving the consistent development of software and hardware under the name SINN. The institute is more than just an instructor—it is a dynamic ecosystem of innovation, community, and scientific progress. The SINN Institute collaborates with the RNU Research Center on studying the neurophysiological mechanisms underlying learning and cognition. Two long-term research directions - Cognitive-Adaptive Learning and APIN neurotherapy - are developed using the expertise of their scientists in neurophysiology, cognitive science, psychology, and biomedical engineering.

Natural neurostimulation refers to natural processes of physical interactions between the mother and fetus, stimulating the nervous system development during pregnancy. The concept was introduced by Research prof Igor Val Danilov in 2024, who provided evidence of the treatment effect of a complex impact of electromagnetic fields and acoustic waves together during a cognitive load. This position states that proper nervous system development in a child during gestation is facilitated by physical interactions with the mother, where the mother's heart plays a central role. Indeed, the environment of the fetus includes both physicochemical interactions with the mother's body and sounds of the mother's environment that can reach the auditory system of the fetus. The theory defines maternal physiological processes and the mother's ecology, which are fundamental factors in the healthy development of the child's nervous system. The most powerful physical forces are the low-frequency pulsed electromagnetic field and the complex acoustic wave of the mother's heart.

Given that the low-frequency pulsed electromagnetic field of the mother's heart and its complex acoustic wave contribute to the development of a balanced nervous system in fetuses during pregnancy, the scaled parameters of these natural forces can treat injured nervous systems in adults. The natural neurostimulation-based techniques exert their functions through natural sensory inputs. This method of neurostimulation enables gentle and safe neurological treatment. This neurostimulation causes vasodilatation of cerebral microvessels in patients, leading to increased oxygenation. At the cellular level, it induces mitochondrial activity, triggering adenosine triphosphate release. It promotes neuroplasticity in injured brain structures.

Our recent studies on chronic pain management provided evidence of the therapeutic potential of natural neurostimulation in patients with various conditions, including menstrual migraine, dysmenorrhea, phantom pain, and neurodegenerative disorders.

Since neurotherapy aims to heal without harm and implements systemic targeted delivery of an energy stimulus to alter neuronal activity, the knowledge about natural neurostimulation contributes to developing novel mechanisms of non-invasive neurotherapy. The study defines key physical parameters of natural neurostimulation in treating the injured nervous system that can provide insights into other non-invasive neurostimulation methods when determining radiation doses and targets. The theory of natural neurostimulation expands our understanding of morphogenesis, which may contribute to the development of different neurotherapeutic approaches: from monitoring natural processes of brain development during pregnancy to treating chronic pain and improving cognitive function during aging.

Recent articles:

Val Danilov I, Medne D, Mihailova S. (2025). Natural Neurostimulation for Chronic Pain Management: A Case Series of 3 Patients with Dysmenorrhea and Menstrual Migraine. OBM Neurobiology 2025; 9(3): 290; doi:10.21926/obm.neurobiol.2503290. https://www.lidsen.com/journals/neurobiology/neurobiology-09-03-290

Val Danilov, I., Medne, D., & Mihailova, S. (2025). Modulating neuroplasticity with acoustic photonic intellectual neurostimulation (APIN): a case study on neurodegenerative disorder. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, 18(1), 561. https://www.sciencedirect.com/science/article/pii/S1935861X24012002

Mihailova, S., Medne, D., & Val Danilov, I. (2025). Acoustic photonic intellectual neurostimulation (APIN) in dysmenorrhea management: a case study on an adolescent. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, 18(1), 510. https://www.sciencedirect.com/science/article/pii/S1935861X24010556

Medne, D., Val Danilov, I., & Mihailova, S. (2025). The effect of acoustic and photonic intervention combined with mental load on chronic headaches: a case study. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, 18(1), 542-543. https://www.sciencedirect.com/science/article/pii/S1935861X24011501

Val Danilov I, Mihailova S. (2025). Reflexes and Shared Intentionality in the Origins of Emotions Development: A Scoping Review of Studies on Blinking in Infants. OBM Neurobiology 2025; 9(1): 263; doi:10.21926/obm.neurobiol.2501263. https://www.lidsen.com/journals/neurobiology/neurobiology-09-01-263

Val Danilov I. (2024). The Origin of Natural Neurostimulation: A Narrative Review of Noninvasive Brain Stimulation Techniques. OBM Neurobiology 2024; 8(4): 260; doi:10.21926/obm.neurobiol.2404260. https://www.lidsen.com/journals/neurobiology/neurobiology-08-04-260

Val Danilov, I. (2024). Child Cognitive Development with the Maternal Heartbeat: A Mother-Fetus Neurocognitive Model and Architecture for Bioengineering Systems. In: Ben Ahmed, M., Boudhir, A.A., Abd El-hamid Attia, H.F., Eštoková, A., Zelenáková, M. (eds) Information Systems and Technological Advances for Sustainable Development. DATA 2024. Lecture Notes in Information Systems and Organisation, vol 71. Springer, Cham. https://doi.org/10.1007/978-3-031-75329-9_24 https://link.springer.com/chapter/10.1007/978-3-031-75329-9_24

Val Danilov I, Mihailova S. (2024). The Origin of Social Skills: Manipulating Shared Intentionality in Bioengineering Systems for Empathy Training. OBM Neurobiology 2024; 8(3): 243; doi:10.21926/obm.neurobiol.2403243. https://www.lidsen.com/journals/neurobiology/neurobiology-08-03-243

Val Danilov, I., Mihailova, S. (2024). An Algorithm for the Computer-Aided Method of Empathy Training by Modulating Shared Intentionality. In: Ragavendiran, S.D.P., Pavaloaia, V.D., Mekala, M.S., Cabezuelo, A.S. (eds) Innovations and Advances in Cognitive Systems. ICIACS 2024. Information Systems Enginee-ring and Management, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-031-69201-7_3

Val Danilov I. (2023). Shared Intentionality Before Birth: Emulating a Model of Mother-Fetus Communication for Developing Human-Machine Systems. In: Arai, K. (eds) Intelligent Systems and Applications. Intelli-Sys 2023. Lecture Notes in Networks and Systems, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-031-47715-7_5

Val Danilov, I. (2023). Low-Frequency Oscillations for Nonlocal Neuronal Coupling in Shared Intentionality Before and After Birth: Toward the Origin of Perception. OBM Neurobiology 2023; 7(4): 192; doi:10.21926/obm.neurobiol.2304192. https://www.lidsen.com/journals/neurobiology/neurobiology-07-04-192

Val Danilov I, Svajyan A, Mihailova S. (2023). A New Computer-Aided Method for Assessing Children's Cognition in Bioengineering Systems for Diagnosing Developmental Delay. OBM Neurobiology 2023; 7(4): 189; doi:10.21926/obm.neurobiol.2304189.

Val Danilov I. (2023). Shared Intentionality Modulation at the Cell Level: Low-Frequency Oscillations for Temporal Coordination in Bioengineering Systems. OBM Neurobiology 2023; 7(4): 185; doi:10.21926/obm.neurobiol.2304185. https://www.lidsen.com/journals/neurobiology/neurobiology-07-04-185

Val Danilov I, Mihailova S. Empirical Evidence of Shared Intentionality: Towards Bioengineering Systems Development. OBM Neurobiology 2023; 7(2): 167; doi:10.21926/obm.neurobiol.2302167. https://www.lidsen.com/journals/neurobiology/neurobiology-07-02-167

Val Danilov, I. (2022). A Bioengineering System for Assessing Children's Cognitive Development by Computerized Evaluation of Shared Intentionality. Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence (CSCI'22: December 14-16, 2022, Las Vegas, Nevada, USA); Publisher: IEEE Computer Society, Editors: Hamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, and Quoc-Nam Tran. ISBN-13: 979-8-3503-2028-2; IEEE Catalog Number: CFP2271X-USB, doi: 10.1109/CSCI58124.2022.00323. pp:1591-1598. https://american-cse.org/csci2022-ieee/pdfs/CSCI2022-2lPzsUSRQukMlxf8K2x89I/202800b591/202800b591.pdf , Online: https://ieeexplore.ieee.org/document/10216436?fbclid=IwAR22GYUVlz-Ym4_oFbAVuhqi5Erf28JUR3abSitMv4cVNYIuBqfo3MSHa7c

Val Danilov I. (2023). Theoretical Grounds of Shared Intentionality for Neuroscience in Developing Bioengineering Systems. OBM Neurobiology 2023; 7(1): 156; doi:10.21926/obm.neurobiol.2301156. https://www.lidsen.com/journals/neurobiology/neurobiology-07-01-156

Val Danilov I, Mihailova S, Svajyan A. (2022). Computerized Assessment of Cognitive Development in Neurotypical and Neurodivergent Children. OBM Neurobiology 2022;6(3):18; doi:10.21926/obm.neurobiol.2203137. https://www.lidsen.com/journals/neurobiology/neurobiology-06-03-137

Val Danilov Igor. (2022). Smartphone in Detecting Developmental Disability in Infancy: A Theoretical Approach to Shared Intentionality for Assessment Tool of Cognitive Decline and e-Learning. K. Arai (Ed.): Proceedings of the SAI 2022, LNNS 508, pp. 1–11, 2022. Springer Nature Switzerland AG 2022 DOI: https://doi.org/10.1007/978-3-031-10467-1_19 . https://link.springer.com/chapter/10.1007/978-3-031-10467-1_19