Hebb-Hopfield neural networks based on one-dimensional sets of neuron states. - Witali L. Dunin-Barkowski; Natali B. Osovets (Neural Process. Lett., 1995)

Detection of Influence of Brain-Stem Neurons and Intra-Cranial Field Potentials on the Diaphragm Activity. - Witali L. Dunin-Barkowski; John M. Orem; Donald C. Wunsch (CBMS, 1998)

Cerebellar learning: a possible phase switch in evolution. - Witali L. Dunin-Barkowski; Donald C. Wunsch (IJCNN, 1999)

Climbing fibre Purkinje cell twins are found. - Witali L. Dunin-Barkowski; Sergey N. Markin; Lubov N. Podladchikova; Donald C. Wunsch (IJCNN, 1999)

Phase-based storage of information in the cerebellum. - Witali L. Dunin-Barkowski; Donald C. Wunsch (Neurocomputing, 1999)

Stability Properties of Cerebellar Neural Networks: The {P}urkinje Cell Climbing Fiber Dynamic Module. - Witali L. Dunin-Barkowski; Serge L. Shishkin; Donald C. Wunsch (Neural Process. Lett., 1999)

Phase-based cerebellar learning of dynamic signals. - Witali L. Dunin-Barkowski; Donald C. Wunsch (Neurocomputing, 2000)

Analysis of output of all Purkinje cells controlled by one climbing fiber cell. - Witali L. Dunin-Barkowski (Neurocomputing, 2002)

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 (Neurocomputing, 2002)

Respiratory pattern generator model using Ca ++-induced Ca++ release in neurons shows both pacemaker and reciprocal network properties. - Witali L. Dunin-Barkowski; A. L. Escobar; Andrew T. Lovering; John M. Orem (Biol. Cybern., 2003)

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; David M. Baekey; Thomas E. Dick; Ilya A. Rybak; Kendall Francis Morris; Russell O'Connor; Sarah C. Nuding; Roger Shannon; Bruce G. Lindsey (Neurocomputing, 2010)

Data Formats in Multineuronal Systems and Brain Reverse Engineering. - Witali L. Dunin-Barkowski (BICA, 2011)

A Plausible Memristor Implementation of Deep Learning Neural Networks. - D. V. Negrov; I. M. Karandashev; V. V. Shakirov; Yu. A. Matveyev; Witali L. Dunin-Barkowski; A. V. Zenkevich (CoRR, 2015)

An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity. - D. V. Negrov; I. M. Karandashev; V. V. Shakirov; Yu. A. Matveyev; Witali L. Dunin-Barkowski; A. V. Zenkevich (Neurocomputing, 2017)

Pavlov principle and brain reverse engineering. - Witali L. Dunin-Barkowski; Ksenia Solovyeva (CIBCB, 2018)

Editorial: Toward and Beyond Human-Level AI. - Witali L. Dunin-Barkowski (Frontiers Neurorobotics, 2020)

Editorial: Toward and beyond human-level AI, volume II. - Witali L. Dunin-Barkowski; Alexander N. Gorban (Frontiers Neurorobotics, 2022)