Witali L. Dunin-Barkowski

发表

A neural ensemble model of the respiratory central pattern generator: properties of the minimal model

Witali L. Dunin-Barkowski, Andrew T. Lovering, John M. Orem, 2002, Neurocomputing.

Models of Innate Neural Attractors and Their Applications for Neural Information Processing

Witali L. Dunin-Barkowski, Ksenia P. Solovyeva, Iakov M. Karandashev, 2015, Frontiers in Systems Neuroscience.

An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity

Witali L. Dunin-Barkowski, Iakov M. Karandashev, Dmitrii Negrov, 2015, Neurocomputing.

Find a Needle in a Haystack - Sorting arXiv Articles by Your Criteria

Witali L. Dunin-Barkowski, Vladimir V. Shakirov, Vladislav P. Dorofeev, 2021 .

Super Intelligence to Solve COVID-19 Problem

Witali L. Dunin-Barkowski, Vladimir V. Shakirov, Vladislav P. Dorofeev, 2020 .

Modeling Study With Coordinated In Vivo Experiments Reconfiguration of the Pontomedullary Respiratory Network: A Computational

Witali L. Dunin-Barkowski, Andrew T. Lovering, Ilya A. Rybak, 2014 .

A Plausible Memristor Implementation of Deep Learning Neural Networks pdf

Witali L. Dunin-Barkowski, I. M. Karandashev, V. V. Shakirov, 2015, ArXiv.

Stability Properties of Cerebellar Neural Networks: The Purkinje Cell — Climbing Fiber Dynamic Module

Witali L. Dunin-Barkowski, Donald C. Wunsch, Serge L. Shishkin, 1999, Neural Processing Letters.

Modulation and reconfiguration of the pontomedullary respiratory network: A computational modeling study

Witali L. Dunin-Barkowski, Ilya A. Rybak, Russell O'Connor, 2007 .

Phase-based Storage of Information in Cerebellum: A Case of Stationary Random Inputs

Witali L. Dunin-Barkowski, Donald C. Wunsch, Serge L. Shishkin, 1998 .

The Large-Scale Symmetry Learning Applying Pavlov Principle

Witali L. Dunin-Barkowski, Alexander E. Lebedev, Kseniya P. Solovyeva, 2019 .

Phase-based storage of information in the cerebellum

Witali L. Dunin-Barkowski, Donald C. Wunsch, D. Wunsch, 1999, Neurocomputing.

The first RNNS/IEEE symposium on neuroinformatics and Neurocomputers: Rostov-on-Don, Russia, 7–10 October 1992

Witali L. Dunin-Barkowski, W. Dunin-Barkowski, 1993 .

Hebb-Hopfield neural networks based on one-dimensional sets of neuron states

Witali L. Dunin-Barkowski, Natali B. Osovets, N. B. Osovets, 1995, Neural Processing Letters.

Data Formats in Multineuronal Systems and Brain Reverse Engineering

Witali L. Dunin-Barkowski, W. Dunin-Barkowski, 2011, BICA.

L-plotting - A method for visual analysis of physiological experimental and modeling multi-component data

Witali L. Dunin-Barkowski, Andrew T. Lovering, John M. Orem, 2010, Neurocomputing.

Pavlov principle and brain reverse engineering

Witali L. Dunin-Barkowski, Ksenia Solovyeva, W. Dunin-Barkowski, 2018, 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).