Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. - Denise Taylor; Nathan Matthew Scott; Nikola K. Kasabov; Elisa Capecci; Enmei Tu; Nicola Saywell; Yixiong Chen; Jin Hu; Zeng-Guang Hou (IJCNN, 2014)

Using a Portable Device for Online Single-Trial MRCP Detection and Classification. - Ali Hassan 001; Usman Ghani; Farhan Riaz; Saad Rehman; Mads Jochumsen; Denise Taylor; Imran Khan Niazi (IDEAL, 2015)

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. - Nikola K. Kasabov; Nathan Matthew Scott; Enmei Tu; Stefan Marks; Neelava Sengupta; Elisa Capecci; Muhaini Othman; Maryam Gholami Doborjeh; Norhanifah Murli; Reggio N. Hartono; Josafath Israel Espinosa Ramos; Lei Zhou 003; et al. (Neural Networks, 2016)

Universal Matched-Filter Template Versus Individualized Template for Single Trial Detection of Movement Intentions of Different Tasks. - Muhammad Akmal; Mads Jochumsen; Muhammad Samran Navid; Muhammad Shafique; Syed Muhammad Tahir Zaidi; Denise Taylor; Imran Khan Niazi (Advances in Neural Networks, 2016)

FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory. - Kaushalya Kumarasinghe; Mahonri Owen; Denise Taylor; Nikola K. Kasabov; Chi Kit (ICRA, 2018)

An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299. - Usman Rashid; Imran Khan Niazi; Nada Signal; Denise Taylor (Sensors, 2018)

eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces. - Kaushalya Kumarasinghe; Denise Taylor; Nikola K. Kasabov (IJCNN, 2019)

Gait Event Anomaly Detection and Correction During a Split-Belt Treadmill Task. - Usman Rashid; Nitika Kumari; Denise Taylor; Tim David; Nada Signal (IEEE Access, 2019)

Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces. - Kaushalya Kumarasinghe; Nikola K. Kasabov; Denise Taylor (Neural Networks, 2020)

Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis. - Gemma Alder; Nada Signal; Usman Rashid; Sharon Olsen; Imran Khan Niazi; Denise Taylor (Sensors, 2020)

Mobile Pulmonary Rehabilitation: Feasibility of Delivery by a Mobile Phone-Based Program. - Robyn Whittaker; Rosie Dobson; Sarah Candy; Taria Tane; Kelly Burrowes; Julie Reeve; Merryn H. Tawhai; Denise Taylor; Trina Robertson; Jeffrey Garrett; Gayl Humphrey; Tamzin Brott; et al. (Frontiers Comput. Sci., 2021)

Validity and Reliability of a Smartphone App for Gait and Balance Assessment. - Usman Rashid; David Barbado; Sharon Olsen; Gemma Alder; Jose L. L. Elvira; Sue Lord; Imran Khan Niazi; Denise Taylor (Sensors, 2022)

Exploring the Potential of Machine Learning for the Diagnosis of Balance Disorders Based on Centre of Pressure Analyses. - Fredy Rojas; Imran Khan Niazi; Patricio Maturana-Russel; Denise Taylor (Sensors, 2022)