Dr Ian Daly

Jin, J., Xiao, W., Daly, I., Weijie, C., Xinjie, H., Xingyu, W. and Andrzej, C., (2024). Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials. IEEE Internet of Things Journal, 1-1

Jin, J., Zhao, X., Daly, I., Li, S., Wang, X. and Cichocki, A., (2024). A Growing Bubble Speller Paradigm for Brain-Computer Interface Based on Event-related Potentials. IEEE Transactions on Biomedical Engineering, 1-12

Liang, W., Jin, J., Daly, I., Sun, H., Wang, X. and Cichocki, A., (2023). Novel channel selection model based on graph convolutional network for motor imagery. Cognitive Neurodynamics. 17 (5), 1283-1296

Daly, I., (2023). Neural decoding of music from the EEG. Scientific Reports. 13 (1), 624-

Wu, R., Jin, J., Daly, I., Wang, X. and Cichocki, A., (2023). Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31, 3075-3085

Sun, H., Jin, J., Daly, I., Huang, Y., Zhao, X., Wang, X. and Cichocki, A., (2023). Feature learning framework based on EEG graph self-attention networks for motor imagery BCI systems. Journal of Neuroscience Methods. 339, 109969-109969

Xie, X., Zhang, D., Yu, T., Duan, Y., Daly, I. and He, S., (2023). Editorial: Explainable and advanced intelligent processing in the brain-machine interaction. Frontiers in Human Neuroscience. 17, 1280281-

Li, S., Jin, J., Daly, I., Liu, C. and Cichocki, A., (2022). Feature selection method based on Menger curvature and LDA theory for a P300 brain–computer interface. Journal of Neural Engineering. 18 (6), 066050-066050

Jin, J., Sun, H., Daly, I., Li, S., Liu, C., Wang, X. and Cichocki, A., (2022). A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery based Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, 20-29

Rybář, M. and Daly, I., (2022). Neural decoding of semantic concepts: A systematic literature review.. Journal of Neural Engineering. 19 (2), 021002-021002

Liu, C., Jin, J., Daly, I., Sun, H., Huang, Y., Wang, X. and Cichocki, A., (2022). Bispectrum-based hybrid neural network for motor imagery classification. Journal of Neuroscience Methods. 375, 109593-109593

Liu, C., Jin, J., Daly, I., Li, S., Sun, H., Huang, Y., Wang, X. and Cichocki, A., (2022). SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, 540-549

Al-Taie, I., Di Giuseppantonio Di Franco, P., Tymkiw, M., Williams, D. and Daly, I., (2022). Sonic enhancement of virtual exhibits. PLoS One. 17 (8), e0269370-e0269370

Fang, H., Jin, J., Daly, I. and Wang, X., (2022). Feature Extraction Method Based on Filter Banks and Riemannian Tangent Space in Motor-Imagery BCI.. IEEE Journal of Biomedical and Health Informatics. 26 (6), 2504-2514

Daly, I., (2021). Neural component analysis: A spatial filter for electroencephalogram analysis. Journal of Neuroscience Methods. 348, 108987-108987

Miao, Y., Jin, J., Daly, I., Zuo, C., Wang, X., Cichocki, A. and Jung, T-P., (2021). Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29, 699-707

Li, S., Jin, J., Daly, I., Wang, X., Lam, H-K. and Cichocki, A., (2021). Enhancing P300 based character recognition performance using a combination of ensemble classifiers and a fuzzy fusion method. Journal of Neuroscience Methods. 362, 109300-109300

Daly, I., (2021). Removal of physiological artifacts from simultaneous EEG and fMRI recordings. Clinical Neurophysiology. 132 (10), 2371-2383

Daly, I., Matran-Fernandez, A., Valeriani, D., Lebedev, M. and Kübler, A., (2021). Editorial: Datasets for Brain-Computer Interface Applications. Frontiers in Neuroscience. 15, 732165-

Jin, J., Xiao, R., Daly, I., Miao, Y., Wang, X. and Cichocki, A., (2021). Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory. IEEE Transactions on Neural Networks and Learning Systems. 32 (11), 4814-4825

Jin, J., Fang, H., Daly, I., Xiao, R., Miao, Y., Wang, X. and Cichocki, A., (2021). Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI. International Journal of Neural Systems. 31 (07), 2150030-2150030

Ramírez Torres, JA. and Daly, I., (2021). How to build a fast and accurate code-modulated brain-computer interface. Journal of Neural Engineering. 18 (4), 046052-046052

Rybář, M., Poli, R. and Daly, I., (2021). Decoding of semantic categories of imagined concepts of animals and tools in fNIRS. Journal of Neural Engineering. 18 (4), 046035-046035

Daly, I., Williams, D., Malik, A., Weaver, J., Kirke, A., Hwang, F., Miranda, E. and Nasuto, SJ., (2020). Personalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing. IEEE Transactions on Affective Computing. 11 (1), 111-124

Li, S., Jin, J., Daly, I., Zuo, C., Wang, X. and Cichocki, A., (2020). Comparison of the ERP-Based BCI Performance Among Chromatic (RGB) Semitransparent Face Patterns. Frontiers in Neuroscience. 14, 54-

Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., (2020). Neural and physiological data from participants listening to affective music. Scientific Data. 7 (1), 177-

Chen, Z., Jin, J., Daly, I., Zuo, C., Wang, X. and Cichocki, A., (2020). Effects of Visual Attention on Tactile P300 BCI.. Computational Intelligence and Neuroscience. 2020, 1-11

Miao, Y., Chen, S., Zhang, X., Jin, J., Xu, R., Daly, I., Jia, J., Wang, X., Cichocki, A. and Jung, T-P., (2020). BCI-Based Rehabilitation on the Stroke in Sequela Stage.. Neural Plasticity. 2020, 1-10

Jin, J., Li, S., Daly, I., Miao, Y., Liu, C., Wang, X. and Cichocki, A., (2020). The Study of Generic Model Set for Reducing Calibration Time in P300-Based Brain-Computer Interface.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28 (1), 3-12

Jin, J., Liu, C., Daly, I., Miao, Y., Li, S., Wang, X. and Cichocki, A., (2020). Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28 (10), 2153-2163

Daly, I., Bourgaize, J. and Vernitski, A., (2019). Mathematical mindsets increase student motivation: Evidence from the EEG. Trends in Neuroscience and Education. 15, 18-28

Feng, JK., Jin, J., Daly, I., Zhou, J., Niu, Y., Wang, X. and Cichocki, A., (2019). An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System. Computational Intelligence and Neuroscience. 2019, 1-10

Daly, I., Williams, D., Hwang, F., Kirke, A., Miranda, ER. and Nasuto, SJ., (2019). Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal behaviour while listening to music. Scientific Reports. 9 (1), 9415-

Jin, J., Miao, Y., Daly, I., Zuo, C., Hu, D. and Cichocki, A., (2019). Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Networks. 118, 262-270

Cheng, J., Jin, J., Daly, I., Zhang, Y., Wang, B., Wang, X. and Cichocki, A., (2018). Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling. Biomedical Engineering / Biomedizinische Technik. 0 (0), 29-38

Feng, J., Yin, E., Jin, J., Saab, R., Daly, I., Wang, X., Hu, D. and Cichocki, A., (2018). Towards correlation-based time window selection method for motor imagery BCIs. Neural Networks. 102, 87-95

Williams, NJ., Daly, I. and Nasuto, SJ., (2018). Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data. Frontiers in Computational Neuroscience. 12, 76-

Daly, I., Blanchard, C. and Holmes, NP., (2018). Cortical excitability correlates with the event-related desynchronization during brain-computer interface control. Journal of Neural Engineering. 15 (2), 026022-026022

Jin, J., Zhang, H., Daly, I., Wang, X. and Cichocki, A., (2017). An improved P300 pattern in BCI to catch user’s attention. Journal of Neural Engineering. 14 (3), 036001-036001

Williams, D., Kirke, A., Miranda, E., Daly, I., Hwang, F., Weaver, J. and Nasuto, S., (2017). Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System. ACM Transactions on Applied Perception. 14 (3), 1-13

Nicolaou, N., Malik, A., Daly, I., Weaver, J., Hwang, F., Kirke, A., Roesch, EB., Williams, D., Miranda, ER. and Nasuto, SJ., (2017). Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo. Frontiers in Human Neuroscience. 11, 502-

Daly, I., Williams, D., Kirke, A., Weaver, J., Malik, A., Hwang, F., Miranda, E. and Nasuto, SJ., (2016). Affective brain–computer music interfacing. Journal of Neural Engineering. 13 (4), 046022-046022

Zhou, S., Jin, J., Daly, I., Wang, X. and Cichocki, A., (2016). Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm. Frontiers in Neuroscience. 10 (OCT), 444-

Chen, L., Jin, J., Daly, I., Zhang, Y., Wang, X. and Cichocki, A., (2016). Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs. Frontiers in Computational Neuroscience. 10 (JAN), 5-

Huang, M., Daly, I., Jin, J., Zhang, Y., Wang, X. and Cichocki, A., (2016). An exploration of spatial auditory BCI paradigms with different sounds: music notes versus beeps.. Cognitive Neurodynamics. 10 (3), 201-209

Daly, I., Chen, L., Zhou, S. and Jin, J., (2016). An investigation into the use of six facially encoded emotions in brain-computer interfacing. Brain-Computer Interfaces. 3 (1), 59-73

Daly, I., Scherer, R., Billinger, M. and Müller-Putz, G., (2015). FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 23 (5), 725-736

Williams, D., Kirke, A., Miranda, ER., Roesch, E., Daly, I. and Nasuto, S., (2015). Investigating affect in algorithmic composition systems. Psychology of Music. 43 (6), 831-854

Daly, I., Hwang, F., Kirke, A., Malik, A., Weaver, J., Williams, D., Miranda, E. and Nasuto, SJ., (2015). Automated identification of neural correlates of continuous variables.. Journal of Neuroscience Methods. 242, 65-71

Daly, I., Williams, D., Hallowell, J., Hwang, F., Kirke, A., Malik, A., Weaver, J., Miranda, E. and Nasuto, SJ., (2015). Music-induced emotions can be predicted from a combination of brain activity and acoustic features.. Brain and Cognition. 101, 1-11

Wang, M., Daly, I., Allison, BZ., Jin, J., Zhang, Y., Chen, L. and Wang, X., (2015). A new hybrid BCI paradigm based on P300 and SSVEP.. Journal of Neuroscience Methods. 244, 16-25

Williams, D., Kirke, A., Miranda, E., Daly, I., Hallowell, J., Weaver, J., Malik, A., Roesch, E., Hwang, F. and Nasuto, S., (2015). Investigating Perceived Emotional Correlates of Rhythmic Density in Algorithmic Music Composition. ACM Transactions on Applied Perception. 12 (3), 1-21

Daly, I., Williams, D., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Miranda, E. and Nasuto, SJ., (2014). Investigating music tempo as a feedback mechanism for closed-loop BCI control. Brain-Computer Interfaces. 1 (3-4), 158-169

Bauernfeind, G., Wriessnegger, SC., Daly, I. and Müller-Putz, GR., (2014). Separating heart and brain: on the reduction of physiological noise from multichannel functional near-infrared spectroscopy (fNIRS) signals.. Journal of Neural Engineering. 11 (5), 056010-056010

Daly, I., Faller, J., Scherer, R., Sweeney-Reed, CM., Nasuto, SJ., Billinger, M. and Müller-Putz, GR., (2014). Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control.. Frontiers in Neuroengineering. 7 (JUL), 20-

Daly, I., Malik, A., Hwang, F., Roesch, E., Weaver, J., Kirke, A., Williams, D., Miranda, E. and Nasuto, SJ., (2014). Neural correlates of emotional responses to music: an EEG study.. Neuroscience Letters. 573, 52-57

Müller-Putz, GR., Daly, I. and Kaiser, V., (2014). Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain-computer interface accuracy.. Journal of Neural Engineering. 11 (3), 035011-035011

Jin, J., Daly, I., Zhang, Y., Wang, X. and Cichocki, A., (2014). An optimized ERP brain-computer interface based on facial expression changes.. Journal of Neural Engineering. 11 (3), 036004-036004

Daly, I., Billinger, M., Scherer, R. and Muller-Putz, G., (2013). On the Automated Removal of Artifacts Related to Head Movement From the EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21 (3), 427-434

Jin, J., Sellers, EW., Zhang, Y., Daly, I., Wang, X. and Cichocki, A., (2013). Whether generic model works for rapid ERP-based BCI calibration. Journal of Neuroscience Methods. 212 (1), 94-99

Chen, X., Bin, G., Daly, I. and Gao, X., (2013). Event-related desynchronization (ERD) in the alpha band during a hand mental rotation task. Neuroscience Letters. 541, 238-242

Daly, I., Nicolaou, N., Nasuto, SJ. and Warwick, K., (2013). Automated artifact removal from the electroencephalogram: a comparative study.. Clinical EEG and Neuroscience. 44 (4), 291-306

Daly, I., Billinger, M., Laparra-Hernández, J., Aloise, F., García, ML., Faller, J., Scherer, R. and Müller-Putz, G., (2013). On the control of brain-computer interfaces by users with cerebral palsy.. Clinical Neurophysiology. 124 (9), 1787-1797

Daly, I., Sweeney-Reed, CM. and Nasuto, SJ., (2013). Testing for significance of phase synchronisation dynamics in the EEG.. Journal of Computational Neuroscience. 34 (3), 411-432

Scherer, R., Moitzi, G., Daly, I. and Muller-Putz, GR., (2013). On the Use of Games for Noninvasive EEG-Based Functional Brain Mapping. IEEE Transactions on Computational Intelligence and AI in Games. 5 (2), 155-163

Kaiser, V., Daly, I., Pichiorri, F., Mattia, D., Müller-Putz, GR. and Neuper, C., (2012). Relationship Between Electrical Brain Responses to Motor Imagery and Motor Impairment in Stroke. Stroke. 43 (10), 2735-2740

Breitwieser, C., Daly, I., Neuper, C. and Muller-Putz, GR., (2012). Proposing a Standardized Protocol for Raw Biosignal Transmission. IEEE Transactions on Biomedical Engineering. 59 (3), 852-859

Daly, I., Pichiorri, F., Faller, J., Kaiser, V., Kreilinger, A., Scherer, R. and Muller-Putz, G., (2012). What does clean EEG look like?. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2012, 3963-3966

Daly, I., Nasuto, SJ. and Warwick, K., (2012). Brain computer interface control via functional connectivity dynamics. Pattern Recognition. 45 (6), 2123-2136

Pfurtscheller, G., Daly, I., Bauernfeind, G. and Müller-Putz, GR., (2012). Coupling between intrinsic prefrontal HbO2 and central EEG beta power oscillations in the resting brain.. PLoS One. 7 (8), e43640-e43640

Daly, I., Nasuto, SJ. and Warwick, K., (2011). Single tap identification for fast BCI control. Cognitive Neurodynamics. 5 (1), 21-30

Daly, I., Roesch, E., Weaver, J. and Nasuto, S., (2014). Machine learning to identify neural correlates of music and emotions. In: Guide to Brain-Computer Music Interfacing. Editors: Miranda, E., . Springer. 89- 103. 978-1-4471-6583-5

Billinger, M., Daly, I., Kaiser, V., Jin, J., Allison, B., Mueller-Putz, G. and Brunner, C., (2012). Is it Significant? Guidelines for Reporting BCI Performance. In: Biological and Medical Physics, Biomedical Engineering. Springer. 333- 354. 978-3-642-29745-8

Daly, I., Williams, D., Kirke, A., Weaver, J., Mailk, A., Hwang, F., Miranda, E. and Nasuto, S., An Affective Brain-Computer Music Interface

Wairagkar, M., Daly, I., Hayashi, Y. and Nasuto, S., Autocorrelation based EEG Dynamics depicting Motor Intention

Williams, D., Kirke, A., Eaton, J., Miranda, E., Daly, I., Weaver, J., Roesch, E., Hwang, F. and Nasuto, S., Dynamic game soundtrack generation in response to a continuously varying emotional trajectory

Daly, I., Jin, J., Huang, M., Zhang, Y. and Wang, X., An optimized auditory P300 BCI based on spatially distributed sound in different voices

Daly, I., Williams, D., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Miranda, E. and Nasuto, S., Brain-computer music interfacing for continuous control of musical tempo

Wairagkar, M., Daly, I., Hayashi, Y. and Nasuto, S., Novel single trial movement classification based on temporal dynamics of EEG

Bauernfeind, G., Wriessnegger, S., Daly, I. and Mueller-Putz, G., Physiological noise reduction from multichannel functional near-infrared spectroscopy (fNIRS) signals

Daly, I., Aloise, F., Arico, P., Belda, J., Billinger, M., Bolinger, E., Cincotti, F., Hettich, D., Iosa, M., Laparra-Hernandez, J., Scherer, R. and Mueller-Putz, G., Rapid prototyping for hBCI users with Cerebral palsy

Daly, I., Grissmann, S., Brunner, C., Allison, B. and Mueller-Putz, G., Hybrid BCI classification via dynamic re-weighting

Bauernfeind, G., Daly, I. and Mueller-Putz, G., On the removal of physiological artifacts from fNIRS

Portelli, A., Daly, I., Spencer, M. and Nasuto, S., Low Cost Brain Computer Interface First Results

Williams, N., Daly, I., Nasuto, S., Saddy, D. and Warwick, K., ERP classification using Empirical mode decomposition

Daly, I., Nastuo, S. and Warwick, K., Phase resetting as a mechanism of ERP generation: evidence from the power spectrum

Tates, A., Matran-Fernandez, A., Halder, S. and Daly, I., Wavelet packet decomposition to extract frequency features from speech imagery

Wang, Z., Daly, I. and Li, J., (2023). An Evaluation of Hybrid Deep Learning Models for Classifying Multiple Lower Limb Actions

Armani, F., Daly, I., Vernitski, A., Gillmeister, H. and Scherer, R., (2023). Maths Anxiety and cognitive state monitoring for neuroadaptive learning systems using electroencephalography

Wang, Z., Li, J., Daly, I. and Li, J., (2022). Machine Learning for Multi-Action Classification of Lower Limbs for BCI

Williams, D. and Daly, I., (2021). Neuro-curation

Daly, I. and Rybar, M., (2020). Neural component analysis: source localisation for motor imagery classification

Rybar, M., Daly, I. and Poli, R., (2020). Potential pitfalls of widely used implementations of common spatial patterns

Daly, I., Malik, A., Weaver, J., Hwang, F., Nasuto, SJ., Williams, D., Kirke, A. and Miranda, E., (2015). Identifying music-induced emotions from EEG for use in brain-computer music interfacing

Daly, I., Malik, A., Weaver, J., Hwang, F., Nasuto, SJ., Williams, D., Kirke, A. and Miranda, E., (2015). Towards human-computer music interaction: Evaluation of an affectively-driven music generator via galvanic skin response measures

Jin, J., Zhang, Y., Wang, X., Daly, I. and Cichocki, A., (2014). Decreasing the interference of visual-based P300 BCI using facial expression changes

Daly, I., Hallowell, J., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Williams, D., Miranda, E. and Nasuto, SJ., (2014). Changes in music tempo entrain movement related brain activity.

Williams, D., Kirke, A., Miranda, E., Daly, I., Roesch, EB., Weaver, JCE. and Nasuto, SJ., (2014). Evaluating perceptual separation in a pilot system for affective composition

Daly, I., Billinger, M., Scherer, R. and Müller-Putz, G., (2013). Brain-Computer Interfacing for Users with Cerebral Palsy, Challenges and Opportunities

Daly, I., Scherer, R. and Müller-Putz, G., (2013). A Population Search Algorithm for Clustered Multivariate Solutions: Application to EEG Connectivity

Daly, I., Williams, N., Nasuto, SJ., Warwick, K. and Saddy, D., (2010). Single trial BCI operation via Wackermann parameters

Daly, I., Nasuto, SJ. and Warwick, K., (2008). Towards natural human computer interaction in BCI

Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., An EEG dataset recorded during affective music listening

Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., A dataset recorded during development of a tempo-based brain-computer music interface