Items where Author is "McGinnity, TM"

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Number of items: 27.

Journal article

KERR, E., MCGINNITY, T.M. and COLEMAN, S., 2017. Material recognition using tactile sensing. Expert Systems with Applications. ISSN 0957-4174

VANCE, P.J., DAS, G.P., KERR, D., COLEMAN, S.A., MCGINNITY, T.M., GOLLISCH, T. and LIU, J.K., 2017. Bioinspired approach to modeling retinal ganglion cells using system identification techniques. IEEE Transactions on Neural Networks and Learning Systems, PP (99). ISSN 2162-237X

HERMAN, P.A., PRASAD, G. and MCGINNITY, T.M., 2017. Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain–Computer Interface Classification of Motor Imagery Induced EEG Patterns. IEEE Transactions on Fuzzy Systems, 25 (1), pp. 29-42. ISSN 1063-6706

JOSHI, A., YOUSSOFZADEH, V., VEMANA, V., MCGINNITY, T.M., PRASAD, G. and WONG-LIN, K., 2017. An integrated modelling framework for neural circuits with multiple neuromodulators. Journal of The Royal Society Interface, 14 (126), p. 20160902. ISSN 1742-5689

WANG, J., BELATRECHE, A., MAGUIRE, L.P. and MCGINNITY, T.M., 2017. SpikeTemp: an enhanced rank-order-based learning approach for spiking neural networks with adaptive structure. IEEE Transactions on Neural Networks and Learning Systems, 28 (1), pp. 30-43. ISSN 2162-237X

CAO, Y., LI, Y., COLEMAN, S., BELATRECHE, A. and MCGINNITY, T.M., 2016. Detecting wash trade in financial market using digraphs and dynamic programming. IEEE Transactions on Neural Networks and Learning Systems, 27 (11), pp. 2351-2363. ISSN 2162-237X

SHYNKEVICH, Y., MCGINNITY, T.M., COLEMAN, S.A. and BELATRECHE, A., 2016. Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning. Decision Support Systems, 85 (May), pp. 74-83. ISSN 0167-9236

CAO, Y., LI, Y., COLEMAN, S., BELATRECHE, A. and MCGINNITY, T.M., 2015. Adaptive hidden Markov model With anomaly states for price manipulation detection. IEEE Transactions on Neural Networks and Learning Systems, 26 (2), pp. 318-330. ISSN 2162-237X

GANDHI, V., PRASAD, G., COYLE, D., BEHERA, L. and MCGINNITY, T.M., 2015. Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques. Neurocomputing, 170, pp. 161-167. ISSN 0925-2312

LI, X., KEHOE, E.G., MCGINNITY, T.M., COYLE, D. and BODKE, A.L.W., 2015. Modulation of effective connectivity in the default mode network at rest and during a memory task. Brain Connectivity, 5 (1), pp. 60-67. ISSN 2158-0022

AMATO, G., BACCIU, D., BROXVALL, M., CHESSA, S., COLEMAN, S., DI ROCCO, M., DRAGONE, M., GALLICCHIO, C., GENNARO, C., LOZANO, H., MCGINNITY, T.M., MICHELI, A., RAY, A.K., RENTERIA, A., SAFFIOTTI, A., SWORDS, D., VAIRO, C. and VANCE, P., 2015. Robotic ubiquitous cognitive ecology for smart homes. Journal of Intelligent & Robotic Systems. ISSN 0921-0296

KERR, D., MCGINNITY, T.M., COLEMAN, S. and CLOGENSON, M., 2015. A biologically inspired spiking model of visual processing for image feature detection. Neurocomputing, 158, pp. 268-280. ISSN 0925-2312

GANDHI, V., PRASAD, G., COYLE, D., BEHERA, L. and MCGINNITY, T.M., 2014. EEG-based mobile robot control through an adaptive brain–robot interface. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44 (9), pp. 1278-1285. ISSN 2168-2216

JALEWA, J., WONG-LIN, K., MCGINNITY, T.M., PRASAD, G. and HÖLSCHER, C., 2014. Increased number of orexin/hypocretin neurons with high and prolonged external stress-induced depression. Behavioural Brain Research, 272, pp. 196-204. ISSN 0166-4328

HE, H., MCGINNITY, T.M., COLEMAN, S. and GARDINER, B., 2014. Linguistic decision making for robot route learning. IEEE Transactions on Neural Networks and Learning Systems, 25 (1), pp. 203-215. ISSN 2162-237X

JALEWA, J., JOSHI, A., MCGINNITY, T.M., PRASAD, G., WONG-LIN, K. and HÖLSCHER, C., 2014. Neural circuit interactions between the dorsal raphe nucleus and the lateral hypothalamus: an experimental and computational study. PLoS ONE, 9 (2). ISSN 1932-6203

GANDHI, V., PRASAD, G., COYLE, D., BEHERA, L. and MCGINNITY, T.M., 2014. Quantum neural network-based EEG filtering for a brain-computer interface. IEEE Transactions on Neural Networks and Learning Systems, 25 (2), pp. 278-288. ISSN 2162-237X

JING, M., MCGINNITY, T.M., COLEMAN, S., FUCHS, A. and KELSO, J., 2014. Temporal changes of diffusion patterns in mild traumatic brain injury via group based semi-blind source separation. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194

DAS, G.P., MCGINNITY, T.M., COLEMAN, S.A. and BEHERA, L., 2014. A distributed task allocation algorithm for a multi-robot system in healthcare facilities. Journal of Intelligent & Robotic Systems. ISSN 1573-0409

WANG, J., BELATRECHE, A., MAGUIRE, L. and MCGINNITY, T.M., 2014. An online supervised learning method for spiking neural networks with adaptive structure. Neurocomputing, 144, pp. 526-536. ISSN 0925-2312

MCGOVERN, D.P., ROUDAIA, E., STAPLETON, J., MCGINNITY, T.M. and NEWELL, F.N., 2014. The sound-induced flash illusion reveals dissociable age-related effects in multisensory integration. Frontiers in Aging Neuroscience, 6. ISSN 1663-4365

Chapter in book

APPIAH, K., MACHADO, P., COSTALAGO MERUELO, A. and MCGINNITY, T.M., 2016. C. elegans behavioural response germane to hardware modelling. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 4743-4750. ISBN 9781509006205

COSTALAGO MERUELO, A., MACHADO, P., APPIAH, K. and MCGINNITY, T.M., 2016. Challenges in clustering C. elegans neurons using computational approaches. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 4775-4781. ISBN 9781509006205

MACHADO, P., COSTALAGO MERUELO, A., PETRUSHIN, A., FERRARA, L., LAMA, N., ADAMA, D., APPIAH, K., BLAU, A. and MCGINNITY, T.M., 2016. Si elegans: evaluation of an innovative optical synaptic connectivity method for C. elegans phototaxis using FPGAs. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 185-191. ISBN 9781509006205

MACHADO, P., WADE, J. and MCGINNITY, T.M., 2015. Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS. In: A.R. LONDRAL and P. ENCARNAÇÃO, eds., Advances in Neurotechnology, Electronics and Informatics. Biosystems & biorobotics, 12 . Cham, Switzerland: Springer International Publishing, pp. 31-45. ISBN 9783319262406

Conference contribution

COSTALAGO MERUELO, A., MACHADO, P., APPIAH, K. and MCGINNITY, T.M., 2015. Si elegans: a computational model of C. elegans muscle response to light. In: 3rd International Congress on Neurotechnology, Electronics and Informatics, Lisbon, Portugal, 2015.

MACHADO, P., WADE, J., APPIAH, K. and MCGINNITY, T.M., 2015. Si elegans: hardware architecture and communications protocol. In: 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 12-17 July 2015.

This list was generated on Tue Nov 21 13:37:54 2017 UTC.