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ORCIDLaxmi R. Iyer
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2020 – today
- 2022
[c12]Jyotibdha Acharya, Laxmi R. Iyer, Wenyu Jiang:
Low Precision Local Learning for Hardware-Friendly Neuromorphic Visual Recognition. ICASSP 2022: 8937-8941- 2020
- [c11]Adithya Gurunathan, Laxmi R. Iyer:
Spurious learning in networks with Spike Driven Synaptic Plasticity. ICONS 2020: 22:1-22:8 - [c10]Laxmi R. Iyer, Yansong Chua:
Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c9]Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying Neuromorphic Data Using a Deep Learning Framework for Image Classification. ICARCV 2018: 1520-1524 - [i2]Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying neuromorphic data using a deep learning framework for image classification. CoRR abs/1807.00578 (2018) - [i1]Laxmi R. Iyer, Yansong Chua, Haizhou Li:
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain. CoRR abs/1807.01013 (2018) - 2017
- [c8]Laxmi R. Iyer, Arindam Basu
:
Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity. IJCNN 2017: 1840-1846 - 2013
- [c7]Laxmi R. Iyer, Seng-Beng Ho:
Perception and prediction - A connectionist model. CIHLI 2013: 25-32 - 2012
- [j3]Nagendra Marupaka, Laxmi R. Iyer, Ali A. Minai:
Connectivity and thought: The influence of semantic network structure in a neurodynamical model of thinking. Neural Networks 32: 147-158 (2012) - 2011
- [c6]Laxmi R. Iyer, Ali A. Minai:
A neurodynamical model of context-dependent category learning. IJCNN 2011: 2975-2982 - 2010
- [c5]Laxmi R. Iyer, Vaidehi Venkatesan, Ali A. Minai:
Neurocognitive spotlights: Configuring domains for ideation. IJCNN 2010: 1-8 - [c4]Ali A. Minai, Mithun Perdoor, Kiran V. Byadarhaly, Suresh Vasa, Laxmi R. Iyer:
A synergistic view of autonomous cognitive systems. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j2]Laxmi R. Iyer, Simona Doboli, Ali A. Minai, Vincent R. Brown, Daniel S. Levine, Paul B. Paulus:
Neural dynamics of idea generation and the effects of priming. Neural Networks 22(5-6): 674-686 (2009) - [c3]Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli, Vincent R. Brown:
Graded Attractors: Configuring Context-Dependent Workspaces for Ideation. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2009 - [c2]Laxmi R. Iyer, Ali A. Minai, Vincent R. Brown, Paul B. Paulus, Simona Doboli:
Effects of relevant and irrelevant primes on idea generation: A computational model. IJCNN 2009: 1380-1387 - [c1]Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli:
A dynamical connectionist model of idea generation. IJCNN 2009: 2109-2116 - 2006
- [j1]Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Guan:
Multi-Learner Based Recursive Supervised Training. Int. J. Comput. Intell. Appl. 6(3): 429-449 (2006)
Coauthor Index
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