This article introduces the concept of the digital kōan, an AI-mediated contemplative prompt that functions as a catalyst for self-inquiry rather than a source of spiritual knowledge. Drawing on Buddhist psychology, cognitive science, and contemplative phenomenology, it examines how dialogue with conversational artificial intelligence can reveal the constructed nature of identity and illuminate...
In the context of escalating authorship inflation and growing concern about research integrity, this article examines sole authorship as an epistemically and ethically grounded methodological condition within specific forms of contemplative and conceptual scholarship. Focusing on forms of inquiry in which interpretation constitutes the primary analytic process, I argue that sole authorship...
Abstract Recent efforts to refine the definition of mindfulness have aimed to improve conceptual clarity and psychometric coherence within psychological science. Chems-Maarif et al. (2025) contributed to this aim by proposing a definition centered on present-centred bare awareness across experiential domains, accompanied by an equanimous attitude. This commentary examines the implications of...
This chapter investigates the cognitive, neurological, and physiological mechanisms underlying mindfulness meditation, bridging contemplative traditions with contemporary neuroscience. It explores how mindfulness engages attention and working memory systems, reshapes emotional regulation, and alters brain structure and function. The chapter examines verbal and visual meditation techniques...
In this study, subject-independent (inter-subject), multiple-session electroencephalography (EEG) data classification was tested for loving-kindness meditation (LKM) and non-meditation. This is a novel study that extends our previous work on intra-subject, multiple-session classification. Here, two meditation techniques, LKM-Self and LKM-Other, were independently compared with non-meditation....
This study focuses on classifying multiple sessions of loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data. This novel study focuses on using multiple sessions of EEG data from a single individual to train a machine learning pipeline, and then using a new session data from the same individual for the classification. Here, two meditation techniques, LKM-Self and...
Brain InformaticsSeptember 9, 2023Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh et al.4 citations
While a very few studies have been conducted on classifying loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data for a single session, there are no such studies conducted for multiple session EEG data. Thus, this study aims at classifying existing raw EEG meditation data on single and multiple sessions to come up with meaningful inferences which will be highly...
Mindfulness research implicitly conceives of mindfulness as an identifiable real ‘thing’ that exists beyond what is directly observed. Recently, a new methodology has been developed which allows mindfulness to be modelled as a complex system or network at the level of self-report. In these models, items become a network’s nodes, and the statistical relations between them, edges. Interpreted...