Reconfiguration of the pontomedullary respiratory network: a computational modeling study with coordinated in vivo experiments IA Rybak, R O'connor, A Ross, NA Shevtsova, SC Nuding, LS Segers, ... Journal of neurophysiology 100 (4), 1770-1799, 2008 | 116 | 2008 |
Tonic activity in the respiratory system in wakefulness, NREM and REM sleep J Orem, AT Lovering, W Dunin-Barkowski, EH Vidruk Sleep 25 (5), 488-496, 2002 | 63 | 2002 |
Endogenous excitatory drive to the respiratory system in rapid eye movement sleep in cats J Orem, AT Lovering, W Dunin‐Barkowski, EH Vidruk The Journal of Physiology 527 (2), 365-376, 2000 | 60 | 2000 |
An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity D Negrov, I Karandashev, V Shakirov, Y Matveyev, W Dunin-Barkowski, ... Neurocomputing 237, 193-199, 2017 | 52 | 2017 |
Hypocapnia decreases the amount of rapid eye movement sleep in cats AT Lovering, JJ Fraigne, DB Witali L, EH Vidruk, JM Orem Sleep 26 (8), 961-967, 2003 | 37 | 2003 |
Ventilatory response of the cat to hypoxia in sleep and wakefulness AT Lovering, WL Dunin-Barkowski, EH Vidruk, JM Orem Journal of Applied Physiology 95 (2), 545-554, 2003 | 33 | 2003 |
Effect of hypercapnia on sleep and breathing in unanesthetized cats JJ Fraigne, WL Dunin-Barkowski, JM Orem Sleep 31 (7), 1025-1033, 2008 | 32 | 2008 |
Information processes in neural structures WL Dunin-Barkowski Moscow: Nauka, 1978 | 32 | 1978 |
Review of state-of-the-art in deep learning artificial intelligence VV Shakirov, KP Solovyeva, WL Dunin-Barkowski Optical memory and neural networks 27 (2), 65-80, 2018 | 31 | 2018 |
Respiratory pattern generator model using Ca++-induced Ca++ release in neurons shows both pacemaker and reciprocal network properties WL Dunin-Barkowski, AL Escobar, AT Lovering, JM Orem Biological cybernetics 89, 274-288, 2003 | 25 | 2003 |
Computer simulation of a cerebellar cortex compartment: I. General principles and properties of a neural net WL Dunin-Barkowski, NP Larionova Biological cybernetics 51 (6), 399-406, 1985 | 25 | 1985 |
Models of innate neural attractors and their applications for neural information processing KP Solovyeva, IM Karandashev, A Zhavoronkov, WL Dunin-Barkowski Frontiers in Systems Neuroscience 9, 178, 2016 | 19 | 2016 |
Hebb-Hopfield neural networks based on one-dimensional sets of neuron states WL Dunin-Barkowski, NB Osovets Neural Processing Letters 2, 28-31, 1995 | 18 | 1995 |
Suppression of diaphragmatic activity during spontaneous ponto-geniculo-occipital waves in cat WL Dunin-Barkowski, JM Orem Sleep 21 (7), 671-675, 1998 | 16 | 1998 |
Analysis of output of all Purkinje cells controlled by one climbing fiber cell WL Dunin-Barkowski Neurocomputing 44, 391-400, 2002 | 12 | 2002 |
Pavlov principle and brain reverse engineering W Dunin-Barkowski, K Solovyeva 2018 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2018 | 9 | 2018 |
Advances in neural computation, machine learning, and cognitive research B Kryzhanovsky, W Dunin-Barkowski, V Redko Neuroinformatics 736, 173-179, 2017 | 9 | 2017 |
Phase-based storage of information in the cerebellum WL Dunin-Barkowski, DC Wunsch Neurocomputing 26, 677-685, 1999 | 9 | 1999 |
Super intelligence to solve COVID-19 problem VP Dorofeev, AE Lebedev, VV Shakirov, WL Dunin-Barkowski Advances in Neural Computation, Machine Learning, and Cognitive Research IV …, 2021 | 8 | 2021 |
L-plotting—A method for visual analysis of physiological experimental and modeling multi-component data WL Dunin-Barkowski, AT Lovering, JM Orem, DM Baekey, TE Dick, ... Neurocomputing 74 (1-3), 328-336, 2010 | 8 | 2010 |