All Stories

  1. NEuroMOrphic Neural-Response Decoding System for Adaptive and Personalized Neuro-Prosthetics’ Control

    Article • Biomimetics, August 2025, MDPI AG

    Dr Petia Koprinkova-Hristova

  2. A Web Service-Based Application for Processing EEG Experimental Data Generated in Response to Visual Stimuli

    Article • International Journal of Online and Biomedical Engineering (iJOE), April 2025, International Association of Online Engineering (IAOE)

    Dr Petia Koprinkova-Hristova

  3. Brain-inspired models and their applications

    Article • Mathematics and Education in Mathematics, March 2025, Institute of Mathematics and Informatics Bulgarian Academy of Sciences

    Dr Petia Koprinkova-Hristova

  4. Decoding Brain Signals in a Neuromorphic Framework for a Personalized Adaptive Control of Human Prosthetics

    Article • Biomimetics, March 2025, MDPI AG

    Dr Petia Koprinkova-Hristova

  5. Artificial Intelligence: Methodology, Systems, and Applications

    Article • January 2025, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  6. From MRI to 3D-SNN brain models

    Article • January 2025, American Institute of Physics

    Dr Petia Koprinkova-Hristova

  7. Reinforcement Learning Control of Cart Pole System with Spike Timing Neural Network Actor-Critic Architecture

    Article • January 2025, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  8. Investigation of Conscious Visual Perception via Visual Stimulus Propagation through a 3D-SNN Brain Model

    Article • September 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  9. Echo state network for features extraction and segmentation of tomography images

    Article • Computer Science and Information Systems, January 2024, National Library of Serbia

    Dr Petia Koprinkova-Hristova

  10. Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform

    Article • January 2024, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  11. On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN

    Article • June 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  12. Simulation Investigations of Pyramidal Cells Layer Effect on Conscious Visual Perception

    Article • January 2023, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  13. Reservoir Computing Approach for Gray Images Segmentation

    Article • August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  14. Special issue: Innovations in Intelligent Systems and Applications

    Article • Journal of Information and Telecommunication, January 2022, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  15. In-silico Investigation of Human Visual System

    Article • January 2022, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  16. HPC parallel implementation combining NEST Simulator and Python modules

    Article • Cluster Computing, November 2021, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  17. Data modelling and data processing generated by human eye movements

    Article • International Journal of Electrical and Computer Engineering (IJECE), October 2021, Institute of Advanced Engineering and Science

    Dr Petia Koprinkova-Hristova

  18. Research on Artificial Neural Networks in Bulgarian Academy of Sciences

    Article • January 2021, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  19. Preface

    Article • Cybernetics and Information Technologies, December 2020, De Gruyter

    Dr Petia Koprinkova-Hristova

  20. A Reservoir Computing Approach to Word Sense Disambiguation

    Article • Cognitive Computation, September 2020, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  21. STDP Training of Hierarchical Spike Timing Model of Visual Information Processing

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  22. Brain-Inspired Spike Timing Model of Dynamic Visual Information Perception and Decision Making with STDP and Reinforcement Learning

    Article • January 2020, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  23. STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing

    Article • January 2020, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  24. Features extraction from human eye movements via echo state network

    Article • Neural Computing and Applications, July 2019, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  25. Word Embeddings Improvement via Echo State Networks

    Article • July 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  26. Genetic Algorithms vs. Knowledge-Based Control of PHB Production

    Article • Cybernetics and Information Technologies, June 2019, De Gruyter

    Dr Petia Koprinkova-Hristova

  27. Spike Timing Neural Model of Motion Perception and Decision Making

    Article • Frontiers in Computational Neuroscience, April 2019, Frontiers

    Dr Petia Koprinkova-Hristova

  28. Echo State vs. LSTM Networks for Word Sense Disambiguation

    Article • January 2019, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  29. An Analysis of a Web Service based Approach for Experimental Data Sharing

    Article • International Journal of Online Engineering (iJOE), September 2018, International Association of Online Engineering (IAOE)

    Dr Petia Koprinkova-Hristova

  30. Orientation Selectivity Tuning of a Spike Timing Neural Network Model of the First Layer of the Human Visual Cortex

    Article • September 2018, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  31. Investigation of Feedback Connections Effect of a Spike Timing Neural Network Model of Early Visual System

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  32. Design and Analysis of a Relational Database for Behavioral Experiments Data Processing

    Article • International Journal of Online Engineering (iJOE), February 2018, International Association of Online Engineering (IAOE)

    Dr Petia Koprinkova-Hristova

  33. Echo State Network for Classification of Human Eye Movements During Decision Making

    Article • January 2018, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  34. Echo State Network for Word Sense Disambiguation

    Article • January 2018, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  35. Intuitionistic fuzzy radial basis functions network for modeling of nonlinear dynamics

    Article • June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  36. Adaptive control of distillation column using adaptive critic design

    Article • June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  37. Genetic algorithm for system modelling

    Article • June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  38. Reservoir computing for emotion valence discrimination from EEG signals

    Article • Neurocomputing, March 2017, Elsevier

    Dr Petia Koprinkova-Hristova

  39. Microphone Array for Non-contact Monitoring of Rolling Bearings

    Article • January 2017, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  40. Neuro-fuzzy tuning of Kalman filter

    Article • September 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  41. Fuzzy merging of MEMS accelerometers and gyroscopes measurements

    Article • August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  42. Learning to decode human emotions with Echo State Networks

    Article • Neural Networks, June 2016, Elsevier

    Dr Petia Koprinkova-Hristova

  43. A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming

    Article • January 2016, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  44. Multi-dimensional Data Clustering and Visualization via Echo State Networks

    Article • January 2016, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  45. Smart Feature Extraction from Acoustic Camera Multi-sensor Measurements

    Article • January 2016, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  46. Three Approaches to Train Echo State Network Actors of Adaptive Critic Design

    Article • January 2016, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  47. New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming

    Article • January 2016, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  48. Investigation of some parameters of a neuro-fuzzy approach for dynamic sound fields visualization

    Article • September 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  49. On effects of IP improvement of ESN reservoirs for reflecting of data structure

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  50. 3D Visualization of Sound Fields Perceived by an Acoustic Camera

    Article • Cybernetics and Information Technologies, January 2015, De Gruyter

    Dr Kiril K Alexiev, Dr Petia Koprinkova-Hristova

  51. Artificial Neural Networks

    Article • January 2015, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  52. ACD with ESN for Tuning of MEMS Kalman Filter

    Article • January 2015, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  53. Echo State Networks for Feature Selection in Affective Computing

    Article • January 2015, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  54. Hebbian Versus Gradient Training of ESN Actors in Closed-Loop ACD

    Article • January 2015, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  55. New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming

    Article • January 2015, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  56. Algorithms for lineaments detection in processing of multispectral images

    Article • October 2014, SPIE

    Dr Petia Koprinkova-Hristova

  57. Sound fields clusterization via neural networks

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  58. Modeling Of Alcohol Fermentation In Brewing – Carbonyl Compounds Synthesis And Reduction

    Article • May 2014, European Council for Modeling and Simulation

    DSc Georgi Kostov, Dr Petia Koprinkova-Hristova

  59. Learning of embodied interaction dynamics with recurrent neural networks: some exploratory experiments

    Article • Journal of Neural Engineering, March 2014, Institute of Physics Publishing

    Dr Petia Koprinkova-Hristova

  60. Innovations in Intelligent Machines-5

    Article • January 2014, Springer Science + Business Media

    Professor Valentina Emilia Balas, Dr Petia Koprinkova-Hristova

  61. Adaptive Critic Design and Heuristic Search for Optimization

    Article • January 2014, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  62. Artificial Neural Networks and Machine Learning – ICANN 2014

    Article • January 2014, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  63. On-line Training of ESN and IP Tuning Effect

    Article • January 2014, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  64. New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects

    Article • January 2014, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  65. Dynamic Sound Fields Clusterization Using Neuro-Fuzzy Approach

    Article • January 2014, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  66. Recurrent neural networks for automatic clustering of multispectral satellite images

    Article • October 2013, SPIE

    Dr Petia Koprinkova-Hristova

  67. Age-related changes in sensitivity to global speed.

    Article • Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, September 2013, American Psychological Association (APA)

    Dr Petia Koprinkova-Hristova

  68. Working regimes classification for predictive maintenance of mill fan systems

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  69. Clustering of spectral images using Echo state networks

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  70. Two approaches to multi-criteria optimisation of steel alloys for crankshafts production

    Article • International Journal of Reasoning-based Intelligent Systems, January 2013, Inderscience Publishers

    Dr Petia Koprinkova-Hristova

  71. Artificial Neural Networks and Machine Learning – ICANN 2013

    Article • January 2013, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  72. Echo State Networks in Dynamic Data Clustering

    Article • January 2013, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  73. Gap Filling of Daily Sea Levels by Artificial Neural Networks

    Article • TransNav the International Journal on Marine Navigation and Safety of Sea Transportation, January 2013, Faculty of Navigation

    Dr Petia Koprinkova-Hristova

  74. Reinforcement Learning for Predictive Maintenance of Industrial Plants

    Article • Information Technologies and Control, January 2013, De Gruyter

    Dr Petia Koprinkova-Hristova

  75. Heuristic dynamic programming using echo state network as online trainable adaptive critic

    Article • International Journal of Adaptive Control and Signal Processing, November 2012, Wiley

    Dr Petia Koprinkova-Hristova

  76. Intelligent diagnostic on mill fan system

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  77. Multi-criteria optimization of steel alloys for crankshafts production

    Article • July 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  78. Modeling of Batch Alcohol Fermentation with Free and Immobilized YeastsSaccharomyces Cerevisiae46 EVD

    Article • Biotechnology & Biotechnological Equipment, January 2012, Taylor & Francis

    DSc Georgi Kostov, Dr Petia Koprinkova-Hristova, Jehad Alzabut

  79. Echo State Networks for Multi-dimensional Data Clustering

    Article • January 2012, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  80. Bio-ethanol production optimization using ACD with ESN critic

    Article • June 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  81. Neural network model of mill-fan system elements vibration for predictive maintenance

    Article • June 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  82. Recurrent Neural Networks for Predictive Maintenance of Mill Fan Systems

    Article • International Journal of Electronics and Telecommunications, January 2011, De Gruyter

    Dr Petia Koprinkova-Hristova

  83. ESN Intrinsic Plasticity versus Reservoir Stability

    Article • January 2011, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  84. Neural Networks Approach to Optimization of Steel Alloys Composition

    Article • January 2011, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  85. Adaptive Critic Design with Echo State Network

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  86. BACKPROPAGATION THROUGH TIME TRAINING OF A NEURO-FUZZY CONTROLLER

    Article • International Journal of Neural Systems, October 2010, World Scientific Pub Co Pte Lt

    Dr Petia Koprinkova-Hristova

  87. Intelligent optimisation of batch fermentations' initial conditions

    Article • International Journal of Reasoning-based Intelligent Systems, January 2010, Inderscience Publishers

    Dr Petia Koprinkova-Hristova

  88. Adaptive Critic Design with ESN Critic for Bioprocess Optimization

    Article • January 2010, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  89. Modeling Of Oxygen Effect On Kinetics Of Batch Fermentation Process For Yogurt Starter Culture Formation

    Article • June 2009, European Council for Modeling and Simulation

    DSc Georgi Kostov, Dr Petia Koprinkova-Hristova

  90. ACD approach to optimal control of mixed culture cultivation for PHB production process — sugar’s time profile synthesis

    Article • September 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  91. NEURAL NETWORK SOFTWARE SENSORS DESIGN FOR LYSINE FERMENTATION PROCESS

    Article • Applied Artificial Intelligence, March 2008, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  92. Knowledge-Based Approach to Control of Mixed Culture Cultivation for PHB Production Process

    Article • Biotechnology & Biotechnological Equipment, January 2008, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  93. Neural network modelling of continuous microbial cultivation accounting for the memory effects

    Article • International Journal of Systems Science, April 2006, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  94. Visual Analysis of Changes of Motion in Reaction-Time Tasks

    Article • Perception, March 2005, SAGE Publications

    Dr Petia Koprinkova-Hristova

  95. Memory effects description by neural networks with delayed feedback connections

    Article • International Journal of Intelligent Systems, January 2004, Wiley

    Dr Petia Koprinkova-Hristova

  96. Neural network based biomass and growth rate estimation aimed to control of a chemostat microbial cultivation

    Article • Applied Artificial Intelligence, April 2003, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  97. Mechanisms of simple and choice reaction to changes in direction of visual motion

    Article • Vision Research, October 2000, Elsevier

    Dr Petia Koprinkova-Hristova

  98. MEMBERSHIP FUNCTIONS SHAPE AND ITS INFLUENCE ON THE STABILITY OF FUZZY CONTROL SYSTEMS

    Article • Cybernetics & Systems, June 2000, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  99. MEMBERSHIP FUNCTIONS SHAPE AND ITS INFLUENCE ON THE DYNAMICAL BEHAVIOUR OF FUZZY LOGIC CONTROLLER

    Article • Cybernetics & Systems, March 2000, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  100. The discrimination of abrupt changes in speed and direction of visual motion

    Article • Vision Research, February 2000, Elsevier

    Dr Petia Koprinkova-Hristova

  101. Data-scaling problems in neural-network training

    Article • Engineering Applications of Artificial Intelligence, June 1999, Elsevier

    Dr Petia Koprinkova-Hristova

  102. Dynamical Behavior of Fuzzy Logic Based Velocity Control Autopilot with Respect to Changes in Linguistic Variables Membership Functions Shape

    Article • Information & Security An International Journal, January 1999, Procon, Ltd.

    Dr Petia Koprinkova-Hristova

  103. NEURAL NETWORK MODELING OF FERMENTATION PROCESSES: SPECIFIC KINETIC RATE MODELS

    Article • Cybernetics & Systems, April 1998, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  104. Neural network modelling of fermentation processes

    Article • Bioprocess Engineering, January 1998, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  105. Neural network modelling of fermentation processes. Microorganisms cultivation model

    Article • Bioprocess Engineering, January 1997, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  106. Neural Network Modelling of Fermentation Taking into Account Culture Memory

    Article • January 1995, Springer Science + Business Media

    Dr Petia Koprinkova-Hristova

  107. Neural Model Taking into Account “Culture Memory”

    Article • Biotechnology & Biotechnological Equipment, January 1994, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  108. Neural Network Models of S. Carlsbergensis Batch Cultivation

    Article • Biotechnology & Biotechnological Equipment, January 1994, Taylor & Francis

    Dr Petia Koprinkova-Hristova

  109. Memory effects description by neural networks with delayed feedback connections

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  110. Preface

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova

  111. Fuzzy operations' parameters versus membership functions' parameters influence on fuzzy control systems properties

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Dr Petia Koprinkova-Hristova