David McAlpine

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 12

Top Topics

Network Analysis

Reinforcement Learning

Top Venues

Neural Networks

IEEE J. Biomed. Health Informatics

Publications

Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR (2024)
Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine
Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data. Neural Networks 163 (2023)
Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Chenglong Dai, Jia Wu, Jessica J. M. Monaghan, Guanghui Li, Hao Peng, Stefanie I. Becker, David McAlpine
Semi-Supervised EEG Clustering With Multiple Constraints. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine
Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285]. Neural Networks 164 (2023)
Zhe Liu, Yun Li, Lina Yao, Jessica J. M. Monaghan, David McAlpine
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis. CoRR (2022)
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis. CoRR (2022)
Matthieu Recugnat, Jaime A. Undurraga, David McAlpine
Spike-Rate Adaptation in a Computational Model of Human-Shaped Spiral Ganglion Neurons. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154 (2022)
Robert Luke, David McAlpine
A Spiking Neural Network Approach to Auditory Source Lateralisation. ICASSP (2019)
Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. CoRR (2019)
Nelli H. Salminen, Simon J. Jones, Gestur B. Christianson, Torsten Marquardt, David McAlpine
A common periodic representation of interaural time differences in mammalian cortex. NeuroImage 167 (2018)
Stefano Cosentino, Tiago H. Falk, David McAlpine, Torsten Marquardt
Cochlear Implant Filterbank Design and Optimization: A Simulation Study. IEEE ACM Trans. Audio Speech Lang. Process. 22 (2) (2014)
Nicolas Barascud, Timothy D. Griffiths, David McAlpine, Maria Chait
"Change Deafness" Arising from Inter-feature Masking within a Single Auditory Object. J. Cogn. Neurosci. 26 (3) (2014)
Stefano Cosentino, Tiago H. Falk, David McAlpine
Predicting the bilateral advantage in cochlear implantees using a non-intrusive speech intelligibility measure. INTERSPEECH (2013)
Maria Chait, Christian C. Ruff, Timothy D. Griffiths, David McAlpine
Cortical responses to changes in acoustic regularity are differentially modulated by attentional load. NeuroImage 59 (2) (2012)
Stefano Cosentino, Torsten Marquardt, David McAlpine, Tiago H. Falk
Towards objective measures of speech intelligibility for Cochlear Implant users in reverberant environments. ISSPA (2012)