A decomposition approach for testing large analog networks. - Janusz A. Starzyk; Hong Dai (J. Electron. Test., 1992)

An organization of the test bus for analog and mixed-signal systems. - Janusz A. Starzyk; Zhi-Hong Liu; Jun Zou (VTS, 1994)

Hierarchical analysis of high frequency interconnect networks. - Janusz A. Starzyk (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1994)

A dynamically reconfigurable system-on-a-chip architecture for future mobile digital signal processing. - Ahmad Alsolaim; Jürgen Becker 001; Manfred Glesner; Janusz A. Starzyk (EUSIPCO, 2000)

Architecture and Application of a Dynamically Reconfigurable Hardware Array for Future Mobile Communication Systems. - Ahmad Alsolaim; Janusz A. Starzyk; Jürgen Becker 001; Manfred Glesner (FCCM, 2000)

Fault diagnosis in analog and mixed mode low testability system. - Janusz A. Starzyk; Jing Pang (ISCAS, 2000)

Fast Communication Mechanisms in Coarse-grained Dynamically Reconfigurable Array Architectures. - Jürgen Becker 001; Manfred Glesner; Ahmad Alsolaim; Janusz A. Starzyk (PDPTA, 2000)

A Mathematical Foundation for Improved Reduct Generation in Information Systems. - Janusz A. Starzyk; Dale E. Nelson; Kirk Sturtz (Knowl. Inf. Syst., 2000)

Multiple fault diagnosis of analog circuits by locating ambiguity groups of test equation. - Janusz A. Starzyk; Dong Liu (ISCAS (5), 2001)

Nonrandom quantization errors in timebases. - Gerard N. Stenbakken; Dong Liu; Janusz A. Starzyk; Bryan C. Waltrip (IEEE Trans. Instrum. Meas., 2001)

Locating stuck faults in analog circuits. - Janusz A. Starzyk; Dong Liu (ISCAS (3), 2002)

A decomposition method for analog fault location. - Janusz A. Starzyk; Dong Liu (ISCAS (3), 2002)

A generalized fault diagnosis method in dynamic analogue circuits. - Dong Liu; Janusz A. Starzyk (Int. J. Circuit Theory Appl., 2002)

Dynamically Self-Reconfigurable Machine Learning Structure for FPGA Implementation. - Janusz A. Starzyk; Yongtao Guo (Engineering of Reconfigurable Systems and Algorithms, 2003)

Real-time acquisition and tracking for GPS receivers. - Abdulqadir Alaqeeli; Janusz A. Starzyk; Frank van Graas (ISCAS (4), 2003)

Design of a Self-Organizing Learning Array system. - Janusz A. Starzyk; Tsun-Ho Liu (ISCAS (5), 2003)

Cost-oriented design of a 14-bit current steering DAC macrocell. - Janusz A. Starzyk; Russell P. Mohn (ISCAS (1), 2003)

Wavelet Transformation and Signal Discrimination for HRR Radar Target Recognition. - Dale E. Nelson; Janusz A. Starzyk; D. David Ensley (Multidimens. Syst. Signal Process., 2003)

Iterated wavelet transformation and signal discrimination for HRR radar target recognition. - Dale E. Nelson; Janusz A. Starzyk; D. David Ensley (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Dynamically Reconfigurable Neuron Architecture for the Implementation of Self-Organizing Learning Array. - Janusz A. Starzyk; Yongtao Guo; Zhineng Zhu (IPDPS, 2004)

A cost-effective approach to the design and layout of a 14-b current-steering DAC macrocell. - Janusz A. Starzyk; Russell P. Mohn; Liang Jing (IEEE Trans. Circuits Syst. I Regul. Pap., 2004)

Entropy-based optimum test points selection for analog fault dictionary techniques. - Janusz A. Starzyk; Dong Liu; Zhi-Hong Liu; Dale E. Nelson; Jerzy Rutkowski (IEEE Trans. Instrum. Meas., 2004)

Dynamic probability estimator for machine learning. - Janusz A. Starzyk; Feng Wang (IEEE Trans. Neural Networks, 2004)

Optimized Interconnections in Probabilistic Self-Organizing Learning. - Janusz A. Starzyk; Mingwei Ding; Haibo He (Artificial Intelligence and Applications, 2005)

Neural Network with Memory and Cognitive Functions. - Janusz A. Starzyk; Yue Li; David D. Vogel (ICANN (1), 2005)

Self-organizing learning array. - Janusz A. Starzyk; Zhen Zhu; Tsun-Ho Liu (IEEE Trans. Neural Networks, 2005)

Dynamically reconfigurable neuron architecture for the implementation of self-organising learning array. - Janusz A. Starzyk; Yongtao Guo; Zhineng Zhu (Int. J. Embed. Syst., 2006)

Associative Learning in Hierarchical Self-Organizing Learning Arrays. - Janusz A. Starzyk; Zhen Zhu; Yue Li (IEEE Trans. Neural Networks, 2006)

Optimizing number of hidden neurons in neural networks. - Yue Liu; Janusz A. Starzyk; Zhen Zhu (Artificial Intelligence and Applications, 2007)

Online Dynamic Value System for Machine Learning. - Haibo He; Janusz A. Starzyk (ISNN (1), 2007)

Hybrid Pipeline Structure for Self-Organizing Learning Array. - Janusz A. Starzyk; Mingwei Ding; Yinyin Liu (ISNN (2), 2007)

A Hierarchical Self-organizing Associative Memory for Machine Learning. - Janusz A. Starzyk; Haibo He; Yue Li (ISNN (1), 2007)

Sparse Coding in Sparse Winner Networks. - Janusz A. Starzyk; Yinyin Liu; David D. Vogel (ISNN (2), 2007)

Self-organizing learning array and its application to economic and financial problems. - Zhineng Zhu; Haibo He; Janusz A. Starzyk; C. Tseng (Inf. Sci., 2007)

Low-Power Tunable Analog Circuit Blocks Based on Nanoscale Double-Gate MOSFETs. - Savas Kaya; Hesham F. A. Hamed; Janusz A. Starzyk (IEEE Trans. Circuits Syst. II Express Briefs, 2007)

A Novel Low-Power Logic Circuit Design Scheme. - Janusz A. Starzyk; Haibo He (IEEE Trans. Circuits Syst. II Express Briefs, 2007)

Anticipation-Based Temporal Sequences Learning in Hierarchical Structure. - Janusz A. Starzyk; Haibo He (IEEE Trans. Neural Networks, 2007)

A hybrid self-organizing Neural Gas based network. - James T. Graham; Janusz A. Starzyk (IJCNN, 2008)

Optimized Approximation Algorithm in Neural Networks Without Overfitting. - Yinyin Liu; Janusz A. Starzyk; Zhen Zhu (IEEE Trans. Neural Networks, 2008)

Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization. - Janusz A. Starzyk; Haibo He (IEEE Trans. Neural Networks, 2009)

Spatio-temporal sequence learning of visual place cells for robotic navigation. - Vu Anh Nguyen; Janusz A. Starzyk; Alex Leng Phuan Tay; Wooi-Boon Goh (IJCNN, 2010)

Mental development and representation building through motivated learning. - Janusz A. Starzyk; Pawel Raif; Ah-Hwee Tan (IJCNN, 2010)

A self-organizing approach to episodic memory modeling. - Wenwen Wang 002; Budhitama Subagdja; Ah-Hwee Tan; Janusz A. Starzyk (IJCNN, 2010)

Motivated learning in autonomous systems. - Pawel Raif; Janusz A. Starzyk (IJCNN, 2011)

Mental saccades in control of cognitive process. - Janusz A. Starzyk (IJCNN, 2011)

A Question Answer Approach to Building Semantic Memory. - Basawaraj; Janusz A. Starzyk; Marek Jaszuk (ICAISC (2), 2012)

Opportunistic Motivated Learning Agents. - James T. Graham; Janusz A. Starzyk; Daniel Jachyra (ICAISC (2), 2012)

Sequence recognition with spatio-temporal long-term memory organization. - Vu Anh Nguyen; Janusz A. Starzyk; Wooi-Boon Goh (IJCNN, 2012)

A Biopsychically Inspired Cognitive System for Intelligent Agents in Aerospace Applications. - Xudan Xu; James T. Graham; Basawaraj; J. Jim Zhu; Janusz A. Starzyk; Ping Zhang (Infotech@Aerospace, 2012)

Motivated learning for the development of autonomous systems. - Janusz A. Starzyk; James T. Graham; Pawel Raif; Ah-Hwee Tan (Cogn. Syst. Res., 2012)

Fast Vanishing-Point Detection in Unstructured Environments. - Peyman Moghadam; Janusz A. Starzyk; W. Sardha Wijesoma (IEEE Trans. Image Process., 2012)

Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects. - Tingwen Huang; Chuandong Li 001; Shukai Duan 001; Janusz A. Starzyk (IEEE Trans. Neural Networks Learn. Syst., 2012)

Neural Network Structure for Spatio-Temporal Long-Term Memory. - Vu Anh Nguyen; Janusz A. Starzyk; Wooi-Boon Goh; Daniel Jachyra (IEEE Trans. Neural Networks Learn. Syst., 2012)

Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. - Wenwen Wang 002; Budhitama Subagdja; Ah-Hwee Tan; Janusz A. Starzyk (IEEE Trans. Neural Networks Learn. Syst., 2012)

Transitioning from motivated to cognitive agent model. - James T. Graham; Janusz A. Starzyk (CIHLI, 2013)

Cognitive agent and its implementation in the blender game engine environment. - Janusz A. Starzyk; Pawel Raif (CIHLI, 2013)

Simulation of a Motivated Learning Agent. - Janusz A. Starzyk; James T. Graham; Leszek Puzio (AIAI, 2013)

Comparison of Two Memristor Based Neural Network Learning Schemes for Crossbar Architecture. - Janusz A. Starzyk; Basawaraj (IWANN (1), 2013)

Building Internal Scene Representation in Cognitive Agents. - Marek Jaszuk; Janusz A. Starzyk (KICSS, 2013)

A spatio-temporal Long-term Memory approach for visual place recognition in mobile robotic navigation. - Vu Anh Nguyen; Janusz A. Starzyk; Wooi-Boon Goh (Robotics Auton. Syst., 2013)

Advancing motivated learning with goal creation. - James T. Graham; Janusz A. Starzyk; Zhen Ni; Haibo He (CIHLI, 2014)

Managing Machine's Motivations. - Janusz A. Starzyk; James T. Graham; Leszek Puzio (ICAISC (2), 2014)

Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game. - Teck-Hou Teng; Ah-Hwee Tan; Janusz A. Starzyk; Yuan-Sin Tan; Loo-Nin Teow (IJCNN, 2014)

Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning. - Teck-Hou Teng; Ah-Hwee Tan; Janusz A. Starzyk; Yuan-Sin Tan; Loo-Nin Teow (WI-IAT (3), 2014)

Memristor Crossbar Architecture for Synchronous Neural Networks. - Janusz A. Starzyk; Basawaraj (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Visual Saccades for Object Recognition. - Janusz A. Starzyk (ICAISC (1), 2015)

A comparative study between motivated learning and reinforcement learning. - James T. Graham; Janusz A. Starzyk; Zhen Ni; Haibo He; Teck-Hou Teng; Ah-Hwee Tan (IJCNN, 2015)

Opportunistic Behavior in Motivated Learning Agents. - James T. Graham; Janusz A. Starzyk; Daniel Jachyra (IEEE Trans. Neural Networks Learn. Syst., 2015)

Emergent creativity in declarative memories. - Adrian Horzyk; Janusz A. Starzyk; Basawaraj (SSCI, 2016)

Trust in motivated learning agents. - Janusz A. Starzyk; James T. Graham; Adrian Horzyk (SSCI, 2016)

Lumped mini-column associative knowledge graphs. - Basawaraj; Janusz A. Starzyk; Adrian Horzyk (SSCI, 2017)

Fast neural network adaptation with associative pulsing neurons. - Adrian Horzyk; Janusz A. Starzyk (SSCI, 2017)

MLECOG: Motivated Learning Embodied Cognitive Architecture. - Janusz A. Starzyk; James T. Graham (IEEE Syst. J., 2017)

Integration of Semantic and Episodic Memories. - Adrian Horzyk; Janusz A. Starzyk; James Graham (IEEE Trans. Neural Networks Learn. Syst., 2017)

Needs, Pains, and Motivations in Autonomous Agents. - Janusz A. Starzyk; James Graham; Leszek Puzio (IEEE Trans. Neural Networks Learn. Syst., 2017)

Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks. - Adrian Horzyk; Janusz A. Starzyk (IJCNN, 2018)

Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs. - Adrian Horzyk; Janusz A. Starzyk (SSCI, 2018)

Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks. - Patryk Orzechowski; Adrian Horzyk; Janusz A. Starzyk; Jason H. Moore (SSCI, 2018)

Temporal Coding of Neural Stimuli. - Adrian Horzyk; Krzysztof Goldon; Janusz A. Starzyk (ICANN (Workshop), 2019)

Associative Data Model in Search for Nearest Neighbors and Similar Patterns. - Adrian Horzyk; Janusz A. Starzyk (SSCI, 2019)

Feature Significance in Wide Neural Networks. - Janusz A. Starzyk; Rafal Niemiec; Adrian Horzyk (SSCI, 2019)

Episodic Memory in Minicolumn Associative Knowledge Graphs. - Basawaraj; Janusz A. Starzyk; Adrian Horzyk (IEEE Trans. Neural Networks Learn. Syst., 2019)

ASA-graphs for efficient data representation and processing. - Adrian Horzyk; Daniel Bulanda; Janusz A. Starzyk (Int. J. Appl. Math. Comput. Sci., 2020)

Associative Memories With Synaptic Delays. - Janusz A. Starzyk; Lukasz Maciura; Adrian Horzyk (IEEE Trans. Neural Networks Learn. Syst., 2020)

Concurrent Associative Memories With Synaptic Delays. - Janusz A. Starzyk; Marek Jaszuk; Lukasz Maciura; Adrian Horzyk (IEEE Trans. Neural Networks Learn. Syst., 2021)

Motivated Agent with Semantic Memory. - Janusz A. Starzyk; Marcin Kowalik; Adrian Horzyk (ECAI, 2023)

Explainable Sparse Associative Self-optimizing Neural Networks for Classification. - Adrian Horzyk; Jakub Kosno; Daniel Bulanda; Janusz A. Starzyk (ICONIP (9), 2023)

Structural Properties of Associative Knowledge Graphs. - Janusz A. Starzyk; Przemyslaw Stoklosa; Adrian Horzyk; Pawel Raif (ICONIP (4), 2023)

Construction and Training of Multi-Associative Graph Networks. - Adrian Horzyk; Daniel Bulanda; Janusz A. Starzyk (ECML/PKDD (3), 2023)

Associative knowledge graphs for efficient sequence storage and retrieval. - Przemyslaw Stoklosa; Janusz A. Starzyk; Pawel Raif; Adrian Horzyk; Marcin Kowalik (Comput. Methods Programs Biomed., 2025)

A Cellular Automata Approach to Donation Game. - Marcin Kowalik; Przemyslaw Stoklosa; Mateusz Grabowski; Janusz A. Starzyk; Pawel Raif (CoRR, 2025)