18 results on '"Gafurov, Oleg"'
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2. The role of the meningeal lymphatic system in local meningeal inflammation and trigeminal nociception
3. Double-Binding Botulinum Molecule with Reduced Muscle Paralysis: Evaluation in In Vitro and In Vivo Models of Migraine
4. Testing the Role of Glutamate NMDA Receptors in Peripheral Trigeminal Nociception Implicated in Migraine Pain
5. Recognition and Identification by Timbre of a Living Creature's Voice Based on Trainable Neural Networks in Real-Time Mode and Their Implementation in the Intelligent System «Neurocyber»
6. Antidromic Spike Propagation and Dissimilar Expression of P2X, 5-HT, and TRPV1 Channels in Peripheral vs. Central Sensory Axons in Meninges
7. Double-binding botulinum molecule with reduced muscle paralysis: Evaluation in in vitro and in vivo models of migraine
8. Method of Creation of 'Core-Gisseismic Attributes' Dependences With Use of Trainable Neural Networks
9. Double-Binding Botulinum Molecule with Reduced Muscle Paralysis: Evaluation in In Vitro and In Vivo Models of Migraine
10. Modeling a Nociceptive Neuro-Immune Synapse Activated by ATP and 5-HT in Meninges: Novel Clues on Transduction of Chemical Signals Into Persistent or Rhythmic Neuronal Firing
11. The role of the meningeal lymphatic system in local inflammation and trigeminal nociception implicated in migraine pain
12. Mechanosensitive receptors in meningeal nociception and pulsatile migraine pain
13. Meningeal Mast Cells Contribute to ATP-Induced Nociceptive Firing in Trigeminal Nerve Terminals: Direct and Indirect Purinergic Mechanisms Triggering Migraine Pain
14. Mechanosensitive meningeal nociception via Piezo channels: Implications for pulsatile pain in migraine?
15. Material support organization of the units of National Guard of Ukraine
16. Improvement of the mechanism for material supply for the units of the National guard of Ukraine
17. Development and Practical Application of Neural Information Technologies, Patterns
18. METHOD OF CREATION OF "CORE-GISSEISMIC ATTRIBUTES" DEPENDENCES WITH USE OF TRAINABLE NEURAL NETWORKS.
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