Different forms of meditation, like Vipassana and Shoonya, require distinct attentional features. For instance, Vipassana, which involves systematically scanning different body parts, may demand a sustained yet dynamic focus with a temporally stable and regular attentional emphasis. In contrast, Shoonya meditation has been described as involving a non-directed or defocused attentional stance,...
Research on artificial consciousness increasingly shifts evaluation from behaviour to internal architecture. Theory-based indicators are used to update probability assignments. This improves on behavioural tests but raises two distinct problems. First, these assignments cannot currently be calibrated against independently established artificial consciousness outcomes. Second, their evidential...
Stimuli presented outside conscious awareness can influence behavior, yet the extent to which such information supports complex decision-making remains unclear. The present study examined the limits of unconscious influence across three levels of decision complexity. Participants made decisions based on stimuli presented using sandwich masking. Stimulus presentation parameters were held...
Large Language Models (LLMs) have rapidly become a central topic in AI and cognitive science, due to their unprecedented performance in a vast array of tasks. Indeed, some even see "sparks of artificial general intelligence" in their apparently boundless faculty for conversation and reasoning. Their sophisticated emergent faculties, which were not initially anticipated by their designers, have...
Empathy plays a fundamental role in social bonding and intersubjective understanding. While recent research has emphasized how bodily processes shape empathic engagement and underlie individual differences, the impact of bodily disruptions on empathic experience in Parkinson's disease (PD) remains largely unexplored. In this study, we used a neurophenomenological approach to investigate Empathy...
This paper proposes a neurodynamic framework for meaningful experience, grounded in the recursive alignment of brain dynamics across time. We argue that the meaningful experiences known as "purpose", "synchronicity", and "flow" are not distinct phenomena, but temporal expressions of the same underlying process: metastable coherence in the brain's attractor landscape. Synchronicity marks...
The study of consciousness is divided between mechanistic accounts that overlook subjective experience and phenomenological approaches limited to neural correlates. We propose a unified framework by grounding our ConCrit model of consciousness and critical brain dynamics within Spinoza's ontological monism. Spinoza's principle of psycho-physical parallelism-mind and body as attributes of one...
Breathing, beyond its metabolic role, has been increasingly implicated in shaping perception, attention, and aspects of cognitive processing. Here, we propose the Rhythmic Embodied Perception (REP) Framework, a multi-level framework linking body and brain to explain how respiration structures conscious experience. At the neurophysiological level, slow respiratory cycles modulate cortical...
This paper explores the fundamental challenges of machine consciousness in the era of Physical AI, where Large Language Models (LLMs) are integrated with humanoid platforms. While current systems like 'Ameca' exhibit sophisticated conversational abilities, they remain ungrounded discursive constructs operating within the realm of 'spoken speech' (parole parlée)-linguistic patterns detached from...
The unfolding argument in the neuroscience of consciousness posits that causal structure cannot account for consciousness because any recurrent neural network (RNN) can be "unfolded" into a functionally equivalent feedforward neural network (FNN) with identical input-output behavior. Subsequent debate has focused on dynamical properties and philosophy of science critiques. We examine a boundary...
Biological computers, or 'biocomputers', are being engineered with brain organoids integrated with in silico hardware and software components. This technology promises to advance our mechanistic understanding of cognitive processes by embodying in vitro neural systems within virtual learning environments. Yet, biocomputers raise ethical and moral questions, such as whether evidence of...
This article proposes a dual-self states framework in which reflective and experiential modes of consciousness are understood as dynamic configurations along a processing continuum. The reflective/experiential self-state corresponds to narrative, denotational, and self-referential consciousness underpinned by default mode network activity. The experiential self state is characterized as an...
Demonstrating reliable unconscious effects is notoriously challenging, and the scope of unconscious processing remains debated. Establishing unconscious effects requires two critical pieces of evidence: first, that the stimulus of interest was processed, and second, that participants were not consciously aware of that stimulus. Here, we focus on the second requirement which has faced criticism...
Psychedelic compound N,N-Dimethyltryptamine (DMT) is renowned for inducing highly immersive experiences, often including encounters with seemingly sentient presences. While such phenomena are well documented, immersion under psychedelics remains conceptually underdefined and phenomenologically underexplored. Here we apply micro-phenomenology to characterize immersion under DMT as a structured...
Psychedelics and meditation can facilitate transformative experiences with acute changes in sensory processing and self-perception, but research about their relation to narrative and affective-attitudinal body image remains limited. We examined body image themes in psychedelic and meditative experience narratives, compared these between experience types, and examined their associations with...
In this study, the Consciousness States Comparison Scale: REM Version (CSCS-REM) was developed as a self-report instrument to assess dream consciousness during REM sleep in comparison with waking consciousness. Existing instruments capture only limited aspects of phenomenology and provide few opportunities for systematic cross-state evaluation. By anchoring waking consciousness as a reference...
A recent study using intracerebral electroencephalography (EEG) recordings in human patients has documented the electrophysiological correlates of conscious reporting of near-threshold visual targets that followed supra-threshold peripheral spatial cues. Here, we aimed to bridge these intracerebral EEG events with corresponding surface recording, differentiating between conscious and...
The proposition that the enteric nervous system sustains a form of consciousness is seldom entertained in mainstream neuroscience, yet it follows from a disciplined reading of contemporary theories of mind. We argue that the 400-600 million neurons embedded in the mammalian gastrointestinal wall, taken together with the vast interoceptive surface they supervise, the enteroendocrine-immune...
Consciousness science faces the challenge of bridging first-person experience with third-person empirical measurements. Neurophenomenology aims to build such 'generative passages' connecting the content of experience with behavioural and neuroscientific data. However, the mathematical machinery for such bridges remains underdeveloped. Here we develop a Rosetta Stone hypothesis from predictive...
Identifying the neural correlates of conscious visual perception remains a major challenge in neuroscience, requiring theories that bridge between subjective experience and measurable neural correlates. However, theoretical interpretation of empirical evidence is often post hoc and susceptible to confirmation bias. Building upon the adversarial collaboration mediated by the COGITATE Consortium,...
Computational phenomenology has been recently presented as a novel and promising approach to modelling human experience with the use of computational techniques. More specifically, as it has been discussed in recent work, it links phenomenological descriptions and analyses of lived experience and generative modelling techniques, most prominently, through Active Inference. It is argued that the...
Consciousness is often treated as a property of the brain alone, yet accumulating evidence suggests that it is shaped by a recurrent dialogue between the brain and body. In this review, we discuss how cognition associated with consciousness-processes that define the observer, their observations, and arising qualia-depend on structured rhythmic correspondences between bodily rhythms and brain...
Abstract It has been proposed that both conscious and unconscious perception are associated with a feedforward sweep of oscillatory activity in the gamma band (>40 Hz), while conscious perception also requires recurrent feedback via beta band ($\sim$20 Hz) oscillations. To investigate the causal relationship between these oscillations and (un)conscious visual perception, we assessed the effect...
Active inference describes motor action as a prediction-driven inferential process, whereby ascending proprioceptive prediction errors are attenuated to allow the fulfillment of expected movement. Meditative practices typically involve a heightened attention to bodily sensations, begging the question of whether this could partially offset the normal proprioceptive suppression during a simple...