New employee publications

Спецвыпуск журнала "Биохимия"

Interplay between neural signaling and metabolic pathways: At the crossroads of brain health and disease

Тематика выпуска: биохимия, мозговая сигнализация может быть на любом уровне: гены, белки, медиаторы, сетевые изменения и пр.

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Laboratory of Mathematical Neurobiology of Learning

Laboratory of Mathematical Neurobiology of Learning specializes in multidisciplinary research in motor control, biomechanics, computational neurobiology, brain-computer interfaces. 

Key research areas

  • investigating the neurophysiological basis and clinical applications of brain-computer interfaces;
  • identifying markers of motor and cognitive function recovery during rehabilitation after stroke, traumatic brain injury, and cerebral palsy
  • studying markers of mirror illusion and phantom syndrome;
  • conducting invasive EEG studies and addressing specific challenges in invasive neurointerfaces;
  • examining mechanisms underlying movement synergies;
  • investigating hidden processes of planning and preparation for complex movement execution;
  • studying mechanisms of proprioceptive sensitivity and developing methods for its objective assessment in various pathologies;
  • investigating sensorimotor and cognitive function recovery during awakening from sleep;

Our partners

The laboratory has collaborations with Pirogov Russian National Research Medical University, Research Center of Neurology, Vladimirsky Moscow Regional Research and Clinical Institute, and National Medical Research Center for Treatment and Rehabilitation.

Research methods

Key methods used in the laboratory are electroencephalography (EEG), electromyography (EMG), near-infrared spectroscopy (NIRS,fNIRS), invasive EEG (in collaboration with clinical partners), motion capture using electromagnetic trackers and optical systems, video motion analysis. 

Key results

  • estimating informational capacity of neural networks capable of associative learning based on Hebbian plasticity;
  • developing methods of Boolean factor analysis, including those based on neural networks capable of unsupervised forming object representations based on statistical properties of input signals;
  • creating a neural network model for the acquisition of a spatial body scheme and estimating external space dimensionality through sensorimotor interaction;
  • development of a model of long-term potentiation and depression based on synaptic receptor phosphorylation, which explains why similar changes in neural activity lead to different consequences for synaptic plasticity in the hippocampus and cerebellum;
  • development of methods for describing movement in terms of individual joint angles of rotation around non-orthogonal axes defined by joint geometry;
  • characterization of motor synergies in high-precision hand movements as a function of motor skill acquisition level;
  • developing the concept of eigenmovements which describes motor synergies that nervous system can control independently and robustly even in the presence of significant delays in the sensorimotor feedback loop;
  • creation of instrumental methods for objective assessment of proprioceptive sensitivity impairments;
  • organization and participation in large-scale multidisciplinary inter-institutional projects for the application of neurointerfaces in motor rehabilitation, resulting in the creation of Russia's first rehabilitation complex incorporating a neurointerface, that received medical device registration
  • description of electrical and metabolic (hemodynamic response) brain activity patterns most specific for motor imagery tasks in neurointerface control in healthy subjects, post-stroke patients, and children diagnosed with cerebral palsy;
  • development of a neurointerface based on near-infrared spectroscopy and investigation of its clinical applications.

Brief history

The Laboratory of Mathematical Neurobiology of Learning was established in 1970, initially as a physiological cybernetics group. In 1978, the group obtained laboratory status, and in 1989 it received its current name. From 1972 to 2018, the laboratory was headed by its founder and intellectual inspirer, Dr.Sc., Ph.D., Professor Alexander Alekseevich Frolov (1943-2020).

Список сотрудников

Publication list

Papers

  • Frolov A.A., Husek D., Muraviev I.P., Polyakov P.Y. Boolean factor analysis by attractor neural network. IEEE Transactions on Neural Networks. 2007. V. 18. N. 3. P. 698-707. DOI: 10.1109/TNN.2007.891664
  • Lemak M.S., Bravarenko N.I., Bobrov P.D., Bezuglov V.V., Ierusalimsky V.N., Storozhuk M.V., Malyshev A.Y., Balaban P.M. Cannabinoid regulation in identified synapse of terrestrial snail. European Journal of Neuroscience. 2007. V. 26. N. 11. P. 3207-3214. DOI: 10.1111/j.1460-9568.2007.05945.x
  • Oknina L.B., Sharova E.V., Matushkina N.A., Kulikov M.A. WUAs in the dynamics of recovery of consciousness after a severe brain injury. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2006. V. 56. N. 6. P. 757-766.
  • Frolov A.A. Changes in the external morphology of shells of freshwater bivalves of the superfamily Pisidioidea depending on the geographic location of their habitats. Doklady Biological Sciences. 2006. V. 411. N. 1. P. 464-465. DOI: 10.1134/S0012496606060111
  • Frolov A.A., Prokopenko R.A., Dufosse M., Ouezdou F.B. Adjustment of the human arm viscoelastic properties to the direction of reaching. Biological Cybernetics. 2006. V. 94. N. 2. P. 97-109. DOI: 10.1007/s00422-005-0018-8
  • Khakhalin A.S., Frolov A.A. Joint application of independent component analysis and non-stationary fluctuation analysis for studying the mechanisms of the early phase of long-term potentiation in the rat hippocampus. Neuroscience and Behavioral Physiology. 2006. V. 36. N. 5. P. 429-439. DOI: 10.1007/s11055-006-0036-6
  • Sarkisova K.Y., Kulikov M.A. Behavioral characteristics of WAG/Rij rats susceptible and non-susceptible to audiogenic seizures. Behavioural Brain Research. 2006. V. 166. N. 1. P. 9-18. DOI: 10.1016/j.bbr.2005.07.024
  • Sidorova O.A., Kulikov M.A. Estimate of emotion recognition in normal conditions and under local brain pathology. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2005. V. 55. N. 5. P. 477-484.
  • Frolov A.A., Mikhailova E.S., Prokopenko R.A., Shevelev I.A., Slavutskaya A.V., Konyshev V.A. Role of filtration in localization of the evoked potential dipoles in the human brain: experiment and simulation. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2005. V. 55. N. 2. P. 262-271.
  • Khakhalin A.S., Frolov A.A. Joint application of the independent component analysis and the nonstationary fluctuation analysis for the investigation of early stages of long-term potentiation in the rat hippocampus. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2005. V. 55. N. 3. P. 293-304.
  • Alexandrov A.V., Frolov A.A., Horak F., Carlson-Kuhta P., Park S. Feedback equilibrium control during human standing. Biological Cybernetics. 2005. V. 93. N. 5. P. 309-322. DOI: 10.1007/s00422-005-0004-1
  • Roschin V.Y., Frolov A.A., Maier M., Burnod Y. Neural network model for working out a notion of ​​the three-dimensionality of the external world. Neurocomputers: development, application. 2004. N. 2-3. P. 101-121.
  • Safiulina V.F., Kasianov A.M., Murzina G.B., Skorinkin A.I., Kotov N.B., Ezrokhi V.L., Giniatullin R.A. Investigation of giant depolarization potentials in neonatal neurons of hippocampus. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2004. V. 54. N. 5. P. 648-654.
  • Carenzi F., Bendahan P., Gorce P., Maier M.A., Roschin V.Y., Frolov A.A. A GENERIC NEURAL NETWORK FOR MULTI-MODAL SENSORIMOTOR LEARNING. NEUROCOMPUTING. 2004. V. 58-60. P. 525-533. DOI: 10.1016/j.neucom.2004.01.090
  • Sarkisova K.Y., Midzyanovskaya I.S., Kulikov M.A. Depression-like behavioral alterations and c-fos expression in the dopaminergic brain regions in WAG/Rij rats with genetic absence epilepsy. Behavior and Brain Research. 2003. V. 144. N. 1-2. P. 211-226. DOI: 10.1016/S0166-4328(03)00090
  • Murzina G.B., Frolov A.A. Hysteresis of synaptic effectiveness - one of the possible mechanisms for associative learning?. Biofizika. 2002. V. 47. N. 1. P. 100-106.
  • Frolov A.A., Dufosse M.., Prokopenko R.A. Neural Network Model of Cortico-Cerebellar interaction during the choice of new visuomotor paradigm. Neyrokompjutery. 2002. V. 1. N. 2. P. 53-62.
  • Frolov A.A., Rashkovsky D.A., Husek D. On Informational Characteristics of Willshaw-Like Auto-Associative Memory. Neural Network World. 2002. V. 12. N. 2. P. 141-157.
  • Murzina G.B., Frolov A.A. Hysteresis of synaptic effectiveness--one of the possible mechanisms for associative learning?. Biofizika. 2001. V. 51. N. 6. P. 100-106.
  • Alexandrov A.V., Frolov A.A., Massion J. Biomechanical analysis of movement strategies in human forward trunk bending. II. Experimental study. Biological Cybernetics. 2001. V. 84. N. 6. P. 435-443. DOI: 10.1007/PL00007987
  • Alexandrov A.V., Frolov A.A., Massion J. Biomechanical analysis of movement strategies in human forward trunk bending. I. Modeling. Biological Cybernetics. 2001. V. 84. N. 6. P. 425-434. DOI: 10.1007/PL00007986
  • Prokopenko R.A., Frolov A.A., Biryukova E.V., Roby-Brami A. Assessment of the accuracy of a human arm model with seven degrees of freedom. Journal of Biomechanics. 2001. V. 34. N. 2. P. 177-185. DOI: 10.1016/S0021-9290(00)00179-2
  • Murzina G.B., Frolov A.A. Mathematical description of modifying synapses of hyppocampal pyramidal neurons. Biofizika. 2000. V. 45. N. 5. P. 915-921.
  • Frolov M.V., Sidorova O.A., Kulikov M.A. Simulation of emotions formula: subjective and objective characteristics. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2000. V. 50. N. 3. P. 410.
  • Sharova E.V., Novikova M.R., Mikheeva T.S., Shishkina L.V., Kulikov M.A. The effects of combined electrolytic stem-orbitofrontal and stem-hippocampal damage to rat brain. Patologicheskaja Fiziologija i Eksperimentalnaja Terapija. 2000. V. ??. N. 3. P. 5-9.
  • Biryukova E.V., Roby-Brami A., Frolov A.A., Mokhtari M. Kinematics of human arm reconstructed from spatial tracking system recordings. Journal of Biomechanics. 2000. V. 33. N. 8. P. 985-995. DOI: 10.1016/S0021-9290(00)00040-3
  • Biryukova E.V., Roby-Brami A., Frolov A.A., Mokhtari M. Kinematics of human arm reconstructed from spatial tracking system recordings. Journal of Biomechanics. 2000. V. 33. N. 8. P. 985-995. DOI: 10.1016/S0021-9290(00)00040-3
  • Frolov A.A., Dufosse M., Rizek S., Kaladjian A. On the possibility of linear modelling the human arm neuromuscular apparatus. Biological Cybernetics. 2000. V. 82. N. 6. P. 499-515. DOI: 10.1007/s004220050603
  • Bazhenov A.V., Murzina G.B., Kleschevnikov A.V. Modulation of the NMDA receptors by intracellular factors. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1999. V. 49. N. 5. P. 733-749.
  • Roschin V.Y., Frolov A.A., Roby-Brami A. ROLE OF VISUAL CORRECTION IN THE EARLY STAGES OF MOTION WHEN LEARNING A NEW VISUAL-MOTOR COORDINATION. Russian Journal of Biomechanics. 1999. V. 3. N. 2. P. 97-98.
  • Biryukova E.V., Roschin V.Y., Frolov A.A., Ioffe M.E., Massion J., Dufosse M. Forearm postural control during unloading: Anticipatory changes in elbow stiffness. Experimental Brain Research. 1999. V. 124. N. 1. P. 107-117. DOI: 10.1007/s002210050605
  • Husek D., Rezankov H., Frolov A.A. Neural Networks from Statistical Point of View. Acta Oeconomica Pragensia. 1999. V. 7. N. 4. P. 63-68.
  • Murzina G.B., Frolov A.A. Genesis of rhythmic activity in a neuronal net model. Biofizika. 1998. V. 43. N. 1. P. 159-164.
  • Frolov A.A., Boldyreva G.N., Koptelov I.M. A search for the sources of pathological alpha activity in the human EEG in limbic structure lesions. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1998. V. 48. N. 4. P. 687-696.
  • Boldyreva G.N., Manelis N.G., Skoryatina N.G., Frolov A.A. Cross-correlations of electrical processes in the human brain during involvement in pathological processes in the limbic structures. Fiziologiya Cheloveva. 1997. V. 23. N. 2. P. 42-49.
  • Silkis I.G., Murzina G.B. Model of postsynaptic neuron dendritic spike efficiency. Biofizika. 1997. V. 42. N. 3. P. 702-710.
  • Silkis I.G., Murzina G.B. About changes in the activity of protein kinases and protein phosphatases in dendritic spine (study using a mathematical model). Nejrokhimija. 1997. V. 14. N. 1. P. 48-61.
  • Silkis I.G., Murzina G.B. Study of prolonged potentiation and depression of excitatory transmission using mathematical modeling of postsynaptic processes. Doklady RAN. 1997. V. 352. N. 3. P. 420-423.
  • Fedotova I.R., Frolov A.A., Markevich V.A. The influence of hippocampal field CA1 on the theta activity during rat orienting behavior. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1997. V. 47. N. 1. P. 889-897.
  • Frolov A.A., Husek D., Muraviev I.P. Informational capacity and recall quality in sparsely encoded Hopfield-like neural network: Analytical approaches and computer simulation. Neural Networks. 1997. V. 10. N. 5. P. 845-855. DOI: 10.1016/S0893-6080(96)00122-0
  • Silkis I.G., Murzina G.B. Contrasting synaptic signals as a result of simultaneous modification of excitatory and inhibitory inputs. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1996. V. 46. N. 6. P. 1076-1087.
  • Silkis I.G., Murzina G.B. Investigation of long-term potentiation and depression of inhibitory transmission using mathematical modeling of postsynaptic processes. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1996. V. 46. N. 5. P. 917-928.
  • Silkis I.G., Murzina G.B. Mathematical modeling of Ca2 + -dependent postsynaptic processes in the hypocampus (induction of prolonged potentiation and depression). Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1996. V. 46. N. 4. P. 674-688.
  • Roschin V.Y., Frolov A.A. MULTIDIMENSIONAL DYNAMIC DIFFERENTIAL NEUROCONTROL. NEURAL NETWORK WORLD. 1996. V. 6. N. 3. P. 355-361.
  • Rezvova I.R., Frolov A.A., Markevich V.A. An investigation of hippocampal theta rhythm of rats as a nonlinear dynamic process. Neuroscience and Behavioral Physiology. 1995. V. 25. N. 5. P. 419-426. DOI: 10.1007/BF02359599
  • Roschin V.Y., Frolov A.A. DIFFERENTIAL NEUROCONTROL FOR LINEAR INERTIAL PLANT. // 1995 RNNS/IEEE 2ND INTERNATIONAL SYMPOSIUM ON NEUROINFORMATICS AND NEUROCOMPUTERS. 1995. P. 39-45.
  • Rezhova I.R., Frolov A.A., Markevich V.A. The theta rhythm of the rat hippocampus as a nonlinear dynamic process. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1994. V. 44. N. 4-5. P. 721-730.
  • Markevich V.A., Zosimovsky V.A., Korshunov V.A., Murzina G.B., Ezrokhi V.L. Identification of a latent state arising in the hippocampus following the cessation of long-term potentiation. Neuroscience and Behavioral Physiology. 1994. V. 24. N. 5. P. 394-399. DOI: 10.1007/BF02359790
  • Markevich V.A., Zosimovsky V.A., Korshunov V.A., Murzina G.B., Ezrokhi V.L. The detection of a latent state occurring in the hippocampus after the cessation of long-term potentiation. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1993. V. 43. N. 4. P. 770-777.
  • Markevich V.A., Zosimovsky V.A., Korshunov V.A., Murzina G.B., Ezrokhi V.L. Identification of the latent state that occurs in the hippocampus after termination of prolonged potentiation. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 1993. V. 43. N. 4. P. 770-777.