Laxmi R. Iyer

According to our database1, Laxmi R. Iyer authored at least 16 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Low Precision Local Learning for Hardware-Friendly Neuromorphic Visual Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2020
Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Spurious learning in networks with Spike Driven Synaptic Plasticity.
Proceedings of the International Conference on Neuromorphic Systems, 2020

2018
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain.
CoRR, 2018

Classifying Neuromorphic Data Using a Deep Learning Framework for Image Classification.
Proceedings of the 15th International Conference on Control, 2018

2017
Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2013
Perception and prediction - A connectionist model.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2013

2012
Connectivity and thought: The influence of semantic network structure in a neurodynamical model of thinking.
Neural Networks, 2012

2011
A neurodynamical model of context-dependent category learning.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
A synergistic view of autonomous cognitive systems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Neurocognitive spotlights: Configuring domains for ideation.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Neural dynamics of idea generation and the effects of priming.
Neural Networks, 2009

A dynamical connectionist model of idea generation.
Proceedings of the International Joint Conference on Neural Networks, 2009

Effects of relevant and irrelevant primes on idea generation: A computational model.
Proceedings of the International Joint Conference on Neural Networks, 2009

Graded Attractors: Configuring Context-Dependent Workspaces for Ideation.
Proceedings of the Biologically Inspired Cognitive Architectures, 2009

2006
Multi-Learner Based Recursive Supervised Training.
Int. J. Comput. Intell. Appl., 2006


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