A Discrete Heuristics Approach to Predictive Evaluation of Semi-Custom IC Layouts. - Ali A. Minai; Ronald D. Williams; F. W. Blake (DAC, 1987)

Back-propagation heuristics: a study of the extended delta-bar-delta algorithm. - Ali A. Minai; Ronald D. Williams (IJCNN, 1990)

Predicting Complex Behavior in Sparse Asymmetric Networks. - Ali A. Minai; William B. Levy (NIPS, 1992)

The dynamics of sparse random networks. - Ali A. Minai; William B. Levy (Biol. Cybern., 1993)

On the derivatives of the sigmoid. - Ali A. Minai; Ronald D. Williams (Neural Networks, 1993)

Setting the Activity Level in Sparse Random Networks. - Ali A. Minai; William B. Levy (Neural Comput., 1994)

Perturbation response in feedforward networks. - Ali A. Minai; Ronald D. Williams (Neural Networks, 1994)

Using hysteresis to improve performance in synchronous networks. - Tirunelveli Anand; Ali A. Minai (ICNN, 1997)

Covariance Learning of Correlated Patterns in Competitive Networks. - Ali A. Minai (Neural Comput., 1997)

Stimulus-induced bifurcations in discrete-time neural oscillators. - Ali A. Minai; Tirunelveli Anand (Biol. Cybern., 1998)

Generating smooth context-dependent neural representations. - Simona Doboli; Ali A. Minai; Phillip J. Best (IJCNN, 1999)

A latent attractors model of context selection in the dentate gyrus-hilus system. - Simona Doboli; Ali A. Minai; Phillip J. Best (Neurocomputing, 1999)

Small-World Model of Associative Memory. - Jason W. Bohland; Ali A. Minai (IJCNN (5), 2000)

Network Capacity for Latent Attractor Computation. - Simona Doboli; Ali A. Minai (IJCNN (1), 2000)

A comparison of context-dependent hippocampal place codes in 1-layer and 2-layer recurrent networks. - Simona Doboli; Ali A. Minai; Phillip J. Best (Neurocomputing, 2000)

Latent Attractors: A Model for Context-Dependent Place Representations in the Hippocampus. - Simona Doboli; Ali A. Minai; Phillip J. Best (Neural Comput., 2000)

Efficient associative memory using small-world architecture. - Jason W. Bohland; Ali A. Minai (Neurocomputing, 2001)

An attractor model for hippocampal place cell hysteresis. - Simona Doboli; Ali A. Minai; Phillip J. Best; Aaron M. White (Neurocomputing, 2001)

Analysis of opportunistic method for cooperative search by mobile agents. - Yanli Yang; Ali A. Minai; Marios M. Polycarpou (CDC, 2002)

Data Integration Using Data Mining Techniques. - Karen C. Davis; Krishnamoorthy Janakiraman; Ali A. Minai; Robert B. Davis (FLAIRS, 2002)

Cooperative real-time search and task allocation in UAV teams. - Yan Jin; Ali A. Minai; Marios M. Polycarpou (CDC, 2003)

Latent attractor selection for variable length episodic context stimuli with distractors. - Simona Doboli; Ali A. Minai (IJCNN, 2003)

A computational model of the interaction between external and internal cues for the control of hippocampal place cells. - Simona Doboli; Ali A. Minai; Phillip J. Best (Neurocomputing, 2003)

Decentralized cooperative search by networked UAVs in an uncertain environment. - Yanli Yang; Ali A. Minai; Marios M. Polycarpou (ACC, 2004)

Balancing search and target response in cooperative UAV teams. - Yan Jin; Yan Liao; Marios M. Polycarpou; Ali A. Minai (CDC, 2004)

Using latent attractors to discern temporal order. - Simona Doboli; Ali A. Minai (IJCNN, 2004)

Effect of noise on the performance of the temporally-sequenced intelligent block-matching and motion-segmentation algorithm. - Xiaofu Zhang; Ali A. Minai (IJCNN, 2004)

Guest Editorial Special Issue on Temporal Coding for Neural Information Processing. - Deliang Wang; Walter J. Freeman; Robert Kozma 001; Andrzej Lozowski; Ali A. Minai (IEEE Trans. Neural Networks, 2004)

Temporally sequenced intelligent block-matching and motion-segmentation using locally coupled networks. - Xiaofu Zhang; Ali A. Minai (IEEE Trans. Neural Networks, 2004)

Impact of System Design Parameters on Performance of Cooperative Agent Teams. - Yan Jin; Yan Liao; Ali A. Minai; Marios M. Polycarpou (ISIC, 2005)

Evidential map-building approaches for multi-UAV cooperative search. - Yanli Yang; Ali A. Minai; Marios M. Polycarpou (ACC, 2005)

Information Sharing in Cooperative Unmanned Aerial Vehicle Teams. - Yan Liao; Yan Jin; Ali A. Minai; Marios M. Polycarpou (CDC/ECC, 2005)

Sporadic pairwise synchronization for decentralized decision-making in mobile agent teams. - Yan Liao; Yan Jin; Ali A. Minai; Marios M. Polycarpou (ACC, 2006)

Discovering Adaptive Heuristics for Ad-Hoc Sensor Networks by Mining Evolved Optimal Configurations. - Prasanna Ranganathan; Aravind Ranganathan; Kenneth A. Berman; Ali A. Minai (IEEE Congress on Evolutionary Computation, 2006)

Impact of Heterogeneity on Coverage and Broadcast Reachability in Wireless Sensor Networks. - Yun Wang 001; Xiaodong Wang 009; Dharma P. Agrawal; Ali A. Minai (ICCCN, 2006)

Balancing search and target response in cooperative unmanned aerial vehicle (UAV) teams. - Yan Jin; Yan Liao; Ali A. Minai; Marios M. Polycarpou (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation. - Simona Doboli; Ali A. Minai; Vincent R. Brown (IJCNN, 2007)

Self-Organized Hebbian Inference of Environment Topology by Distributed Sensor Networks. - Payal Shah; Hemant Ramaswami; Ali A. Minai (IJCNN, 2007)

Latent Attractors: A General Paradigm for Context-Dependent Neural Computation. - Simona Doboli; Ali A. Minai (Trends in Neural Computation, 2007)

On the varying benefit of communication between mobile agents in a decentralized team. - Yan Liao; Ali A. Minai; Marios M. Polycarpou (CCA/ISIC, 2009)

Graded Attractors: Configuring Context-Dependent Workspaces for Ideation. - Ali A. Minai; Laxmi R. Iyer; Divyachapan Padur; Simona Doboli; Vincent R. Brown (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Learning Complex Population-Coded Sequences. - Kiran V. Byadarhaly; Mithun Perdoor; Suresh Vasa; Emmanuel Fernandez; Ali A. Minai (ICANN (1), 2009)

A conceptual neural model of idea generation. - Simona Doboli; Vincent R. Brown; Ali A. Minai (IJCNN, 2009)

Effects of relevant and irrelevant primes on idea generation: A computational model. - Laxmi R. Iyer; Ali A. Minai; Vincent R. Brown; Paul B. Paulus; Simona Doboli (IJCNN, 2009)

A dynamical connectionist model of idea generation. - Ali A. Minai; Laxmi R. Iyer; Divyachapan Padur; Simona Doboli (IJCNN, 2009)

Stable-yet-switchable (SyS) attractor networks. - Subramoniam Perumal; Ali A. Minai (IJCNN, 2009)

Neural dynamics of idea generation and the effects of priming. - Laxmi R. Iyer; Simona Doboli; Ali A. Minai; Vincent R. Brown; Daniel S. Levine 001; Paul B. Paulus (Neural Networks, 2009)

A multi-agent model for the co-evolution of ideas and communities. - Amer G. Ghanem; Ali A. Minai; James G. Uber (IEEE Congress on Evolutionary Computation, 2010)

A spiking neural model for the spatial coding of cognitive response sequences. - Suresh Vasa; Tao Ma; Kiran V. Byadarhaly; Mithun Perdoor; Ali A. Minai (ICDL, 2010)

Neurocognitive spotlights: Configuring domains for ideation. - Laxmi R. Iyer; Vaidehi Venkatesan; Ali A. Minai (IJCNN, 2010)

A synergistic view of autonomous cognitive systems. - Ali A. Minai; Mithun Perdoor; Kiran V. Byadarhaly; Suresh Vasa; Laxmi R. Iyer (IJCNN, 2010)

Synergistic organization of action: A computational model. - Kiran V. Byadarhaly; Mithun Perdoor; Ali A. Minai (IJCNN, 2011)

Semantic knowledge inference from online news media using an LDA-NLP approach. - Sarjoun Doumit; Ali A. Minai (IJCNN, 2011)

A neurodynamical model of context-dependent category learning. - Laxmi R. Iyer; Ali A. Minai (IJCNN, 2011)

Connectivity and creativity in semantic neural networks. - Nagendra Marupaka; Ali A. Minai (IJCNN, 2011)

Agents of influence in social networks. - Amer G. Ghanem; Srinivasa Vedanarayanan; Ali A. Minai (AAMAS, 2012)

Topic Identification and Analysis in Large News Corpora. - Sarjoun Doumit; Ali A. Minai (MAICS, 2012)

2011 International Joint Conference on Neural Networks (IJCNN 2011) [Conference Reports]. - Ali A. Minai (IEEE Comput. Intell. Mag., 2012)

A modular neural model of motor synergies. - Kiran V. Byadarhaly; Mithun Perdoor; Ali A. Minai (Neural Networks, 2012)

Connectivity and thought: The influence of semantic network structure in a neurodynamical model of thinking. - Nagendra Marupaka; Laxmi R. Iyer; Ali A. Minai (Neural Networks, 2012)

A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. - Jean-Philippe Thivierge; Ali A. Minai; Hava T. Siegelmann; Cesare Alippi; Michael Georgiopoulos (Neural Networks, 2012)

A hierarchical model of synergistic motor control. - Kiran V. Byadarhaly; Ali A. Minai (IJCNN, 2013)

Modeling the effect of hint timing on the idea generation process. - Simona Doboli; Matthew Jacques; Ali A. Minai; Paul B. Paulus; Runa M. Korde; Alex Doboli (IJCNN, 2013)

Thinking in prose and poetry: A semantic neural model. - Sarjoun Doumit; Nagendra Marupaka; Ali A. Minai (IJCNN, 2013)

Chunks of thought: Finding salient semantic structures in texts. - Mei Mei; Aashay Vanarase; Ali A. Minai (IJCNN, 2014)

ANSWER: An unsupervised attractor network method for detecting salient words in text corpora. - Madhavun Candadai; Aashay Vanarase; Mei Mei; Ali A. Minai (IJCNN, 2015)

Effect of associative rules on the dynamics of conceptual combination in a neurodynamical model. - Sarjoun Doumit; Ali A. Minai (IJCNN, 2015)

Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction. - Ye Chen; Lawrence J. Mazlack; Ali A. Minai; Long J. Lu (Appl. Soft Comput., 2015)

Computational Models of Cognitive and Motor Control. - Ali A. Minai (Handbook of Computational Intelligence, 2015)

Reliable storage and recall of aperiodic spatiotemporal activity patterns using scaffolded attractors. - M. Furqan Afzal; Ali A. Minai (IJCNN, 2016)

Divergent thinking in a neurodynamical model of ideation. - Mei Mei; Ali A. Minai (IJCNN, 2016)

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. - Haibo He; Nitesh V. Chawla; Huanhuan Chen; Yoonsuck Choe; Andries P. Engelbrecht; Jaya deva; Lyle N. Long; Ali A. Minai; Feiping Nie 001; Umut Ozertem; Barak A. Pearlmutter; Ling Shao 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 2016)

Behavioral Dynamics and Action Selection in a Joint Action Pick-and-Place Task. - Maurice Lamb; Tamara Lorenz; Stephen J. Harrison; Rachel Kallen; Ali A. Minai; Michael J. Richardson (CogSci, 2017)

PAPAc: A Pick and Place Agent Based on Human Behavioral Dynamics. - Maurice Lamb; Tamara Lorenz; Stephen J. Harrison; Rachel Kallen; Ali A. Minai; Michael J. Richardson (HAI, 2017)

Feature selection using multiple auto-encoders. - Xinyu Guo; Ali A. Minai; Long J. Lu (IJCNN, 2017)

Self-Organized Circle Formation around an Unknown Target by a Multi-Robot Swarm using a Local Communication Strategy. - Aditya Milind Deshpande; Rumit Kumar; Mohammadreza Radmanesh; Nalini Veerabhadrappa; Manish Kumar 006; Ali A. Minai (ACC, 2018)

The Paths We Pick Together: A Behavioral Dynamics Algorithm for an HRI Pick-and-Place Task. - Maurice Lamb; Riley Mayr; Tamara Lorenz; Ali A. Minai; Michael J. Richardson (HRI (Companion), 2018)

Using Semantic Clustering And Autoencoders For Detecting Novelty In Corpora Of Short Texts. - Mei Mei; Xinyu Guo; Belinda C. Williams; Simona Doboli; Jared B. Kenworthy; Paul B. Paulus; Ali A. Minai (IJCNN, 2018)

What's in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches. - Ulya Bayram; John Pestian; Daniel Santel; Ali A. Minai (IJCNN, 2019)

A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human-Agent Pick-and-Place Interactions. - Maurice Lamb; Patrick Nalepka; Rachel W. Kallen; Tamara Lorenz; Steven J. Harrison; Ali A. Minai; Michael J. Richardson (Complex., 2019)

The Effect of Well-informed Minorities and Meritocratic Learning in Social Networks. - Marwa Shekfeh; Ali A. Minai (ICAART (1), 2020)

One Shot Spatial Learning through Replay in a Hippocampus-Inspired Reinforcement Learning Model. - Adedapo Alabi; Ali A. Minai; Dieter Vanderelst (IJCNN, 2020)

A cognitive inspired method for assessing novelty of short-text ideas. - Simona Doboli; Jared B. Kenworthy; Paul B. Paulus; Ali A. Minai; Alex Doboli (IJCNN, 2020)

One-Shot Recognition of Manufacturing Defects in Steel Surfaces. - Aditya Milind Deshpande; Ali A. Minai; Manish Kumar 006 (CoRR, 2020)

Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors. - Aditya Milind Deshpande; Rumit Kumar; Ali A. Minai; Manish Kumar 006 (CoRR, 2020)

Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer. - Jaswanth K. Yella; Chao Zhang 050; Sergei Petrov; Yu Huang 017; Xiaoye Qian; Ali A. Minai; Sthitie Bom (IEEE BigData, 2021)

A Comparative Study of Methods for Visualizable Semantic Embedding of Small Text Corpora. - Rishabh Choudhary; Simona Doboli; Ali A. Minai (IJCNN, 2021)

Robust Deep Reinforcement Learning for Quadcopter Control. - Aditya Milind Deshpande; Ali A. Minai; Manish Kumar 006 (CoRR, 2021)

Context-Dependent Spatial Representations in the Hippocampus using Place Cell Dendritic Computation. - Adedapo Alabi; Dieter Vanderelst; Ali A. Minai (IJCNN, 2022)

Building Semantic Cognitive Maps with Text Embedding and Clustering. - Rishabh Choudhary; Omar Alsayed; Simona Doboli; Ali A. Minai (IJCNN, 2022)

A Real-Time Semantic Model for Relevance and Novelty Detection from Group Messages. - David Fisher; Rishabh Choudhary; Omar Alsayed; Simona Doboli; Ali A. Minai (IJCNN, 2022)

A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation. - Deven M. Mistry; Ali A. Minai (ICANN (10), 2023)

Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields. - Adedapo Alabi; Dieter Vanderelst; Ali A. Minai (Neural Networks, 2023)

DeepCPG Policies for Robot Locomotion. - Aditya Milind Deshpande; Eric Hurd; Ali A. Minai; Manish Kumar 006 (IEEE Trans. Cogn. Dev. Syst., 2023)

Inferring Interpretable Semantic Cognitive Maps from Noisy Document Corpora. - Yahya Emara; Tristan Weger; Ryan Rubadue; Rishabh Choudhary; Simona Doboli; Ali A. Minai (ICAART (3), 2024)

Deep Intelligence: What AI Should Learn from Nature's Imagination. - Ali A. Minai (Cogn. Comput., 2024)

Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories. - Asim Roy; Ali A. Minai; Jean-Philippe Thivierge; Tsvi Achler; Juyang Weng (Cogn. Comput., 2024)

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents. - Ali A. Minai (CoRR, 2025)