Journal Articles

Qiu, S, Bhattacharyya, S, Coyle, D, Dora, S (2025) Continual learning with a predictive coding based classifier, Applied Soft Computing, 186(Part D), 114265, ISSN: 1568-4946. DOI: 10.1016/j.asoc.2025.114265.

Xing, R, Li, B, Dora, S, Whittaker, M, Mathie, J (2025) Engineering-oriented explainable machine learning and digital twin framework for sustainable dairy production and environmental impact optimisation, Algorithms, 18(10), 670, DOI: 10.3390/a18100670.

Wierda, TS, Dora, S, Pennartz, CMA, Mejias, JF (2025) Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making, PLOS Computational Biology, 21(10), e1013559, ISSN: 1553-734X. DOI: 10.1371/journal.pcbi.1013559.

Fillingham, Z, Nevisi, H, Dora, S (2025) Optimisation of pulse waveforms for qubit gates using deep learning, Quantum Machine Intelligence, 7(69), ISSN: 2524-4906. DOI: 10.1007/s42484-025-00291-3.

Qiu, S, Bhattacharyyaa, S, Coyle, D, Dora, S (2025) Deep predictive coding with bi-directional propagation for classification and reconstruction, Neural Networks, 191, 107785, ISSN: 0893-6080. DOI: 10.1016/j.neunet.2025.107785.

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, 36(2), pp.2274-2287, 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

Nath, S, Peridis, C, Benjamin, E, Liu, X, Kolouri, S, Kinnell, P, Li, Z, Liu, C, Dora, S, Soltoggio, A (2025) Policy search, retrieval, and composition via task similarity in collaborative agentic systems. In The 40th Annual AAAI Conference on Artificial Intelligence, Singapore.

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 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.

Mishra, S, Dora, S, Sundaram, S (2024) Improved Imbalance Resilience in Continual Multi-Label Classification with Adaptive Margin Spiking Neural Networks. In , Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp.1592-1597, DOI: 10.1109/SMC54092.2024.10831419.

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, China.

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.

Chapters

Qiu, S, Bhattacharyya, S, Coyle, D, Dora, S (2024) Developing Variational Generative Models Using Predictive Coding. In Advances in Intelligent Systems and Computing, Springer Nature Switzerland, pp.20-31, ISBN: 9783031788567. DOI: 10.1007/978-3-031-78857-4_2.

Jeyasothy, A, Dora, S, Sundaram, S, Sundararajan, N (2022) Supervised learning using spiking neural networks. In Handbook on Computer Learning and Intelligence, pp.423-465, DOI: 10.1142/9789811247323_0010.