| 2025 | IJCNN | A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory. | Laxmi R. Iyer, Ali A. Minai |
| 2022 | ICASSP | Low Precision Local Learning for Hardware-Friendly Neuromorphic Visual Recognition. | Jyotibdha Acharya, Laxmi R. Iyer, Wenyu Jiang |
| 2020 | IJCNN | Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity. | Laxmi R. Iyer, Yansong Chua |
| 2018 | ICARCV | Classifying Neuromorphic Data Using a Deep Learning Framework for Image Classification. | Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer |
| 2017 | IJCNN | Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity. | Laxmi R. Iyer, Arindam Basu |
| 2011 | IJCNN | A neurodynamical model of context-dependent category learning. | Laxmi R. Iyer, Ali A. Minai |
| 2010 | IJCNN | Neurocognitive spotlights: Configuring domains for ideation. | Laxmi R. Iyer, Vaidehi Venkatesan, Ali A. Minai |
| 2010 | IJCNN | A synergistic view of autonomous cognitive systems. | Ali A. Minai, Mithun Perdoor, Kiran V. Byadarhaly, Suresh Vasa, Laxmi R. Iyer |
| 2009 | IJCNN | 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 |
| 2009 | IJCNN | A dynamical connectionist model of idea generation. | Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli |