Philosophical discussion tends to converge on the view that narratives are at the center of the emotion of grief. In this article, I expand on this kind of view. On the one hand, I argue that key strands of phenomenological and neuroscientific studies suggest that grief consists in a complex emotional process of disconfirmation-and-updating of the narrative self-model. By heuristically drawing on an analogy between binocular rivalry and grief, I show that certain salient aspects of the phenomenology of grief, such (...) as self-alienation and ambiguity, are straightforwardly reflected by this account. On the other hand, I argue that this hierarchical approach has the resources to: (i) show that both narratable and unnarratable experiences of personal loss are both instances of grief; and (ii) differentiate between narratable and unnarratable experiences of grief, without compromising the view that self-constituting narratives are at the center of the phenomenon. (shrink)

Meaning has traditionally been regarded as a problem for philosophers and psychologists. Advances in cognitive science since the early 1960s, however, broadened discussions of meaning, or more technically, the semantics of perceptions, representations, and/or actions, into biology and computer science. Here, we review the notion of “meaning” as it applies to living systems, and argue that the question of how living systems create meaning unifies the biological and cognitive sciences across both organizational and temporal scales.

The article provides a conceptualization of self(-illness) ambiguity and investigates to what extent self(-illness) ambiguity is ‘special’. First, we draw on empirical findings to argue that self-ambiguity is a ubiquitous phenomenon. We suggest that these findings are best explained by a multidimensional account, according to which selves consist of various dimensions that mutually affect each other. On such an account, any change to any particular self-aspect may change other self-aspects and thereby alter the overall structural pattern of self-aspects, potentially leading (...) to self-ambiguity. Second, we propose that self-ambiguity comes in degrees and should be understood as a spectrum (as opposed to there being qualitative differences among instances of self-ambiguity). Third, we argue that complexity is the most useful dimension to organize cases of self-ambiguity, with mundane instances of self-ambiguity on the one end and self-illness ambiguity on the other end of the spectrum. Fourth, we address the promises and perils of narrativity with regard to self-ambiguity. Finally, we link our deflationary account of self(-illness) ambiguity to pattern theories of self. (shrink)

This study investigates eight case reports of spontaneously emerging, brief episodes of vivid altered states of Selfhood (ASoSs) that occurred during mental exercise in six long-term meditators by using a neurophenomenological electroencephalography (EEG) approach. In agreement with the neurophenomenological methodology, first-person reports were used to identify such spontaneous ASoSs and to guide the neural analysis, which involved the estimation of three operational modules of the brain self-referential network (measured by EEG operational synchrony). The result of such analysis demonstrated that the (...) documented ASoSs had unique neurophenomenological profiles, where several aspects or components of Selfhood (measured neurophysiologically and phenomenologically) are affected and expressed differently, but still in agreement with the neurophysiological three-dimensional construct model of the complex experiential Selfhood proposed in our earlier work (Fingelkurts et al. in Conscious Cogn, 2020). (shrink)

In recent years, there has been a proliferation of neuroscientific theories of consciousness. These include theories which explicitly point to EM fields, notably Operational Architectonics and, more recently, the General Resonance Theory. In phenomenological terms, human consciousness is a unified composition of contents. These contents are specific and meaningful, and they exist from a subjective point of view. Human conscious experience is temporally continuous, limited in content, and coherent. Based upon those phenomenal observations, pre-existing theories of consciousness, and a large (...) body of experimental evidence, I derived the Temporally-Integrated Causality Landscape. In brief, the TICL proposes that the neural correlate of consciousness is a structure of temporally integrated causality occurring over a large portion of the thalamocortical system. This structure is composed of a large, integrated set of neuronal elements, which contains some subsystems, defined as having a higher level of temporally-integrated causality than the System as a whole. Each Subsystem exists from the point of view of the System, in the form of meaningful content. In this article, I review the TICL and consider the importance of EM forces as a mechanism of neural causality. I compare the fundamentals of TICL to those of several other neuroscientific theories. Using five major characteristics of phenomenal consciousness as a standard, I compare the basic tenets of Integrated Information Theory, Global Neuronal Workspace, General Resonance Theory, Operational Architectonics, and the Temporo-spatial Theory of Consciousness with the framework of the TICL. While the literature concerned with these theories tends to focus on different lines of evidence, there are fundamental areas of agreement. This means that, in time, it may be possible for many of them to converge upon the truth. In this analysis, I conclude that a primary distinction which divides these theories is the feature of spatial and temporal nesting. Interestingly, this distinction does not separate along the fault line between theories explicitly concerned with EM fields and those which are not. I believe that reconciliation is possible, at least in principle, among those theories that recognize the following: just as the contents of consciousness are distinctions within consciousness, the neural correlates of conscious content should be distinguishable from but fall within the spatial and temporal boundaries of the full neural correlates of consciousness. (shrink)

Over the last several years, predictive processing approaches to computational neuropsychiatry have been gaining explanatory traction. According to these accounts, some of the positive symptoms of schizophrenia arise from aberrant precision-weighting during hierarchical Bayesian inference. In contrast to computational approaches, the phenomenological tradition in psychiatry holds that disruptions or alterations of the self (Ichstörungen) lie at the core of schizophrenia. In this article, we aim to integrate these approaches. We align ourselves with the phenomenological insight that self-disturbances lie at the (...) core of schizophrenia and with the hierarchical conception of the self-model that emerges from the predictive processing architecture. We suggest that disruptions of the “hard core” of the narrative self-model might be partially involved in the generation of aberrant experiences and hyperreflexivity, and in some aspects of the sense of self-alienation and ambiguity that is characteristic of the phenomenology of schizophrenia. (shrink)