Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space

P Rajpura, H Cecotti, YK Meena - Journal of Neural Engineering, 2024 - iopscience.iop.org
Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …

State-sensitive convolutional sparse coding for potential biomarker identification in brain signals

P Wang, Y Qi, G Pan - Science China Information Sciences, 2024 - Springer
The identification of prototypical waveforms, such as sleep spindles and epileptic spikes, is
crucial for the diagnosis of neurological disorders. These prototypical waveforms are usually …

Marked point process representation of oscillatory dynamics underlying working memory

S Akella, A Mohebi, JC Principe… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Computational models of neural activity at the meso-scale suggest the
involvement of discrete oscillatory bursts as constructs of cognitive processing during …

Neuromodulatory pattern analysis for local field potentials

S Akella - 2021 - search.proquest.com
Brain dynamics are manifested on many levels of organization, the observable aspects of
which are divided into three modalities, namely, the microscopic, mesoscopic, and …

Interface cérebro-máquina: avanços na neurociência eo desenvolvimento de bioeletrodos

WSM de Sousa, DC Lopes, DAC Silva… - Research, Society and …, 2022 - rsdjournal.org
Objective: To show the updates in this field of research in recent years. Methodology: This is
a narrative review, which consist of more extensive publications. The Pubmed database and …