| Development of a self-regulating evolving spiking neural network for classification problem S Dora, K Subramanian, S Suresh, N Sundararajan Neurocomputing 171, 1216-1229, 2016 | 100 | 2016 |
| Towards a unified view on pathways and functions of neural recurrent processing CMA Pennartz, S Dora, L Muckli, JAM Lorteije Trends in neurosciences 42 (9), 589-603, 2019 | 75 | 2019 |
| An interclass margin maximization learning algorithm for evolving spiking neural network S Dora, S Sundaram, N Sundararajan IEEE transactions on cybernetics 49 (3), 989-999, 2018 | 39 | 2018 |
| Spiking neural networks for computational intelligence: an overview S Dora, N Kasabov Big Data and Cognitive Computing 5 (4), 67, 2021 | 37 | 2021 |
| A two stage learning algorithm for a growing-pruning spiking neural network for pattern classification problems S Dora, S Sundaram, N Sundararajan 2015 international joint conference on neural networks (IJCNN), 1-7, 2015 | 37 | 2015 |
| MIEEG-GAN: generating artificial motor imagery electroencephalography signals S Roy, S Dora, K McCreadie, G Prasad 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 29 | 2020 |
| Multimodal representation learning for place recognition using deep Hebbian predictive coding MJ Pearson, S Dora, O Struckmeier, TC Knowles, B Mitchinson, K Tiwari, ... Frontiers in Robotics and AI 8, 732023, 2021 | 24 | 2021 |
| State-of-the-art sensors for remote care of people with dementia during a pandemic: A systematic review CK Behera, J Condell, S Dora, DS Gibson, G Leavey Sensors 21 (14), 4688, 2021 | 23 | 2021 |
| Online meta-neuron based learning algorithm for a spiking neural classifier S Dora, S Suresh, N Sundararajan Information Sciences 414, 19-32, 2017 | 21 | 2017 |
| A sequential learning algorithm for a spiking neural classifier S Dora, S Suresh, N Sundararajan Applied Soft Computing 36, 255-268, 2015 | 21 | 2015 |
| Deep gated Hebbian predictive coding accounts for emergence of complex neural response properties along the visual cortical hierarchy S Dora, SM Bohte, CMA Pennartz Frontiers in Computational Neuroscience 15, 666131, 2021 | 18 | 2021 |
| A deep predictive coding network for inferring hierarchical causes underlying sensory inputs S Dora, C Pennartz, S Bohte Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 17 | 2018 |
| A basis coupled evolving spiking neural network with afferent input neurons D Shirin, R Savitha, S Suresh The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 17 | 2013 |
| Self-regulated learning algorithm for distributed coding based spiking neural classifier P Machingal, M Thousif, S Dora, S Sundaram 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 14 | 2020 |
| A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier S Dora, S Suresh, N Sundararajan 2014 International Joint Conference on Neural Networks (IJCNN), 2415-2421, 2014 | 12 | 2014 |
| Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization R Ganotra, S Dora, S Gupta International Journal of Imaging Systems and Technology, 2020 | 7 | 2020 |
| A Deep Predictive Coding Network for Learning Latent Representations S Dora, C Pennartz, S Bohte biorxiv, 2018 | 6 | 2018 |
| DOB-SNN: a new neuron assembly-inspired spiking neural network for pattern classification V Saranirad, TM McGinnity, S Dora, D Coyle 2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021 | 5 | 2021 |
| Predictive coding with spiking neurons and feedforward gist signaling K Lee, S Dora, JF Mejias, SM Bohte, CMA Pennartz Frontiers in Computational Neuroscience 18, 1338280, 2024 | 4 | 2024 |
| Sharing lifelong reinforcement learning knowledge via modulating masks S Nath, C Peridis, E Ben-Iwhiwhu, X Liu, S Dora, C Liu, S Kolouri, ... Conference on Lifelong Learning Agents, 936-960, 2023 | 4 | 2023 |
Suresh SundaramProfessor, Department of Aerospace Engineering, Indian Institute of ScienceZweryfikowany adres z iisc.ac.in
