Journal Articles
Thousif, M,
Dora, S, Sundaram, S (2024)
A Particle Swarm Optimization-Based Interpretable Spiking Neural Classifier with Time-Varying Weights,
Mathematics, 12(18), pp.2846-2846, DOI:
10.3390/math12182846.
Lee, K,
Dora, S, Mejias, JF, Bohte, SM, Pennartz, CMA (2024)
Predictive coding with spiking neurons and feedforward gist signaling,
Frontiers in Computational Neuroscience, 18, 1338280, DOI:
10.3389/fncom.2024.1338280.
Ganotra, R, Gupta, S,
Dora, S (2024)
A joint autoencoder and classifier deep neural network for AD and MCI classification,
International Journal of Imaging Systems and Technology, 34(2), e23054, ISSN: 0899-9457. DOI:
10.1002/ima.23054.
Saranirad, V,
Dora, S, McGinnity, TM, Coyle, D (2024)
CDNA-SNN: A new spiking neural network for pattern classification using neuronal assemblies,
IEEE Transactions on Neural Networks and Learning Systems, ISSN: 2162-237X. DOI:
10.1109/TNNLS.2024.3353571.
Singh, OD, Gupta, S,
Dora, S (2023)
Segmentation technique for the detection of Micro cracks in solar cell using support vector machine,
Multimedia Tools and Applications, 82(21), pp.32091-32116, ISSN: 1380-7501. DOI:
10.1007/s11042-023-14509-8.
Pearson, MJ,
Dora, S, Struckmeier, O, Knowles, TC, Mitchinson, B, Tiwari, K, Kyrki, V, Bohte, S, Pennartz, CMA (2021)
Multimodal representation learning for place recognition using deep hebbian predictive coding,
Frontiers in Robotics and AI, 8, 732023, DOI:
10.3389/frobt.2021.732023.
Dora, S and Kasabov, N (2021)
Spiking neural networks for computational intelligence: an overview,
Big Data and Cognitive Computing, 5(4), 67, DOI:
10.3390/bdcc5040067.
Dora, S, Bohte, SM, Pennartz, CMA (2021)
Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy,
Frontiers in Computational Neuroscience, 15, DOI:
10.3389/fncom.2021.666131.
Behera, CK, Condell, J,
Dora, S, Gibson, DS, Leavey, G (2021)
State-of-the-art sensors for remote care of people with dementia during a pandemic: A systematic review,
Sensors, 21(14), 4688, ISSN: 1424-8220. DOI:
10.3390/s21144688.
Ganotra, R,
Dora, S, Gupta, S (2021)
Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization,
International Journal of Imaging Systems and Technology, 31(1), pp.106-117, ISSN: 0899-9457. DOI:
10.1002/ima.22458.
Singh, OD, Malik, A, Yadav, V, Gupta, S,
Dora, S (2021)
Deep Segmenter system for recognition of micro cracks in solar cell,
Multimedia Tools and Applications, 80(5), pp.6509-6533, ISSN: 1380-7501. DOI:
10.1007/s11042-020-09915-1.
Dora, S, Bohte, SM, Pennartz, CMA (2020)
Deep predictive coding accounts for emergence of complex neural response properties along the visual cortical hierarchy, DOI:
10.1101/2020.02.07.937292.
Sharma, G, Chawla, R, Gupta, S,
Dora, S (2019)
A publicly verifiable watermarking scheme based on quantum chaos and DWT–DCT,
SN Applied Sciences, 1(12), DOI:
10.1007/s42452-019-1769-5.
Pennartz, CMA,
Dora, S, Muckli, L, Lorteije, JAM (2019)
Towards a Unified View on Pathways and Functions of Neural Recurrent Processing,
Trends in Neurosciences, 42(9), pp.589-603, ISSN: 0166-2236. DOI:
10.1016/j.tins.2019.07.005.
Dora, S, Sundaram, S, Sundararajan, N (2019)
An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network,
IEEE Transactions on Cybernetics, 49(3), pp.989-999, ISSN: 2168-2267. DOI:
10.1109/tcyb.2018.2791282.
Dora, S, Suresh, S, Sundararajan, N (2017)
Online Meta-neuron based Learning Algorithm for a spiking neural classifier,
Information Sciences, 414, pp.19-32, ISSN: 0020-0255. DOI:
10.1016/j.ins.2017.05.050.
Dora, S, Subramanian, K, Suresh, S, Sundararajan, N (2016)
Development of a Self-Regulating Evolving Spiking Neural Network for classification problem,
Neurocomputing, 171, pp.1216-1229, ISSN: 0925-2312. DOI:
10.1016/j.neucom.2015.07.086.
Dora, S, Suresh, S, Sundararajan, N (2015)
A sequential learning algorithm for a spiking neural classifier,
Applied Soft Computing, 36, pp.255-268, ISSN: 1568-4946. DOI:
10.1016/j.asoc.2015.06.062.
Conferences
Xing, R, Li, B,
Dora, S, Michael, W, Mathie, J (2024)
Stacking ensemble machine learning modelling for milk yield prediction based on biological characteristics and feeding strategies. In Ganzha, M, Maciaszek, L, Paprzycki, M, Ślęzak, D (ed)
Conference on Computer Science and Intelligence Systems (FedCSIS); Preproceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Belgrade, Serbia.
Thousif, PM, Sundaram Suresh, V,
Dora, S (2024)
A Gaussian Mixture Synapse Model for Time Varying Weight Spiking Neural Classifier. In
, Proceedings of the International Joint Conference on Neural Networks. DOI:
10.1109/IJCNN60899.2024.10650399.
Xing, R, Li, B,
Dora, S, Whittaker, M, Mathie, J (2023)
A stacking ensemble approach for milk yield prediction on dairy cattle. In
International Conference on Computer Science, Machine Learning and Big Data; International Conference on Computer Science, Machine Learning and Big Data, Beijing.
Nath, S, Peridis, C, Ben-Iwhiwhu, E, Liu, X,
Dora, S, Liu, C, Kolouri, S, Soltoggio, A (2023)
Sharing lifelong reinforcement learning knowledge via modulating masks. In Chandar, S, Pascanu, R, Sedghi, H, Precup, D (ed)
Second Conference on Lifelong Learning Agents (CoLLAs 2023); Proceedings of the 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Canada, pp.936-960.
MacHingal, P, Thousif,
Dora, S, Sundaram, S, Meng, Q (2023)
Learning to Classify Faster Using Spiking Neural Networks. In
, Proceedings of the International Joint Conference on Neural Networks. DOI:
10.1109/IJCNN54540.2023.10191334.
Samanta, K, Roy, S, Marchand-Pauvert, V,
Dora, S, Duguez, S, Singh, M, Prasad, G, Bhattacharyya, S (2023)
An Automated Detection of Amyotrophic Lateral Sclerosis from Resting-State MEG Data Using 3D Deep Convolutional Neural Network. In
, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp.3337-3342, DOI:
10.1109/SMC53992.2023.10393987.
Saranirad, V,
Dora, S, McGinnity, M, Coyle, D (2022)
Assembly-based STDP: a new learning rule for spiking neural networks inspired by biological assemblies. In
2022 International Joint Conference on Neural Networks (IJCNN); 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy,ISBN: 9781728186719. DOI:
10.1109/IJCNN55064.2022.9891925.
Jing, L, Wang, Y, Chen, T,
Dora, S, Ji, Z, Fang, H (2022)
Towards more efficient few-shot learning based human gesture recognition via dynamic vision sensors. In
33rd British Machine Vision Conference 2022 (BMVC 2022); Proceedings of the British Machine Vision Conference 2022, London, UK.
Zhang, Y,
Dora, S, Martinez-Garcia, M, Bhattacharyaand, S (2022)
Machine Hearing for Industrial Acoustic Monitoring using Cochleagram and Spiking Neural Network. In
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). DOI:
10.1109/aim52237.2022.9863412.
Saranirad, V, McGinnity, TM,
Dora, S, Coyle, D (2021)
DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification. In
, Proceedings of the International Joint Conference on Neural Networks. DOI:
10.1109/IJCNN52387.2021.9534283.
Machingal, P, Thousif, M,
Dora, S, Sundaram, S (2020)
Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. In
2020 International Joint Conference on Neural Networks (IJCNN), pp.1-7, DOI:
10.1109/ijcnn48605.2020.9207620.
Roy, S,
Dora, S, McCreadie, K, Prasad, G (2020)
MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals. In
2020 International Joint Conference on Neural Networks (IJCNN), pp.1-8, DOI:
10.1109/ijcnn48605.2020.9206942.
Dora, S, Pennartz, C, Bohte, S (2018)
A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs. In
, pp.457-467, ISBN: 9783030014230. DOI:
10.1007/978-3-030-01424-7_45.
Dora, S, Rangarajan, B, Subramanian, K, Suresh, S (2015)
Automatic seizure detection in multichannel EEG using McCIT2FIS approach. In
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp.1-8, DOI:
10.1109/fuzz-ieee.2015.7338085.
Dora, S, Sundaram, S, Sundararajan, N (2015)
A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems. In
2015 International Joint Conference on Neural Networks (IJCNN), pp.1-7, DOI:
10.1109/ijcnn.2015.7280592.
Dora, S, Suresh, S, Sundararajan, N (2014)
A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. In
2014 International Joint Conference on Neural Networks (IJCNN), pp.2415-2421, DOI:
10.1109/ijcnn.2014.6889775.
Shirin, D, Savitha, R, Suresh, S (2013)
A basis coupled evolving spiking neural network with afferent input neurons. In
, Proceedings of the International Joint Conference on Neural Networks. DOI:
10.1109/IJCNN.2013.6706964.
