Ian Daly
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Explore the profile of Ian Daly including associated specialties, affiliations and a list of published articles.
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72
Citations
683
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Recent Articles
1.
Daly I, Williams N, Nasuto S
J Neural Eng
. 2024 Dec;
21(6).
PMID: 39671798
Cognition is achieved through communication between brain regions. Consequently, there is considerable interest in measuring effective connectivity. A promising effective connectivity metric is transcranial magnetic stimulation (TMS) evoked potentials (TEPs),...
2.
Rybar M, Poli R, Daly I
Sci Rep
. 2024 Nov;
14(1):28003.
PMID: 39543314
Neuroimaging studies have reported the possibility of semantic neural decoding to identify specific semantic concepts from neural activity. This offers promise for brain-computer interfaces (BCIs) for communication. However, translating these...
3.
Jin J, Zhao X, Daly I, Li S, Wang X, Cichocki A, et al.
IEEE Trans Biomed Eng
. 2024 Nov;
72(3):1188-1199.
PMID: 39504274
Objective: Event-related potentials (ERPs) reflect electropotential changes within specific cortical regions in response to specific events or stimuli during cognitive processes. The P300 speller is an important application of ERP-based...
4.
Li S, Daly I, Guan C, Cichocki A, Jin J
Neural Netw
. 2024 Sep;
180:106655.
PMID: 39226850
A Brain-computer interface (BCI) system establishes a novel communication channel between the human brain and a computer. Most event related potential-based BCI applications make use of decoding models, which requires...
5.
Jin J, Xu R, Daly I, Zhao X, Wang X, Cichocki A
IEEE Trans Cybern
. 2024 May;
54(9):5565-5576.
PMID: 38713574
Event-related potentials (ERPs) reflect neurophysiological changes of the brain in response to external events and their associated underlying complex spatiotemporal feature information is governed by ongoing oscillatory activity within the...
6.
7.
Wang Z, Daly I, Li J
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38082609
Brain-computer Interfaces (BCIs) interpret electroencephalography (EEG) signals and translate them into control commands for operating external devices. The motor imagery (MI) paradigm is popular in this context. Recent research has...
8.
Liang W, Jin J, Daly I, Sun H, Wang X, Cichocki A
Cogn Neurodyn
. 2023 Oct;
17(5):1283-1296.
PMID: 37786654
Multi-channel electroencephalography (EEG) is used to capture features associated with motor imagery (MI) based brain-computer interface (BCI) with a wide spatial coverage across the scalp. However, redundant EEG channels are...
9.
Xie X, Zhang D, Yu T, Duan Y, Daly I, He S
Front Hum Neurosci
. 2023 Sep;
17:1280281.
PMID: 37771349
No abstract available.
10.
Sun H, Jin J, Daly I, Huang Y, Zhao X, Wang X, et al.
J Neurosci Methods
. 2023 Sep;
399:109969.
PMID: 37683772
Learning distinguishable features from raw EEG signals is crucial for accurate classification of motor imagery (MI) tasks. To incorporate spatial relationships between EEG sources, we developed a feature set based...