I propose an idealist ontology that makes sense of reality in a more parsimonious and empirically rigorous manner than mainstream physicalism, bottom-up panpsychism, and cosmopsychism. The proposed ontology also offers more explanatory power than these three alternatives, in that it does not fall prey to the hard problem of consciousness, the combination problem, or the decombination problem, respectively. It can be summarized as follows: there is only cosmic consciousness. We, as well as all other living organisms, are but dissociated alters (...) of cosmic consciousness, surrounded by its thoughts. The inanimate world we see around us is the extrinsic appearance of these thoughts. The living organisms we share the world with are the extrinsic appearances of other dissociated alters. (shrink)

Science and philosophy still lack an overarching theory of consciousness. We suggest that a further step toward it requires going beyond the view of the brain as input-output machine and focusing on its intrinsic activity, which may express itself in two distinct modalities, i.e. aware and unaware. We specifically investigate the predisposition of the brain to evaluate and to model the world. These intrinsic activities of the brain retain a deep relation with consciousness. In fact the ability of the brain (...) to evaluate and model the world can develop in two modalities, implicit or explicit, that correspond to what we usually refer to as the unconscious and consciousness, and both are multilevel configurations of the brain along a continuous and dynamic line. Starting from an empirical understanding of the brain as intrinsically active and plastic, we here distinguish between higher cognitive functions and basic phenomenal consciousness, suggesting that the latter might characterize the brain’s intrinsic activity as such, even if at a very basic level. We proceed to explore possible impacts of the notion of intrinsic cerebral phenomenality on our understanding of consciousness and its disorders, particularly on the diagnosis and management of patients with disorders of consciousness. (shrink)

In today’s society, it becomes increasingly important to assess which non-human and non-verbal beings possess consciousness. This review article aims to delineate criteria for consciousness especially in animals, while also taking into account intelligent artifacts. First, we circumscribe what we mean with “consciousness” and describe key features of subjective experience: qualitative richness, situatedness, intentionality and interpretation, integration and the combination of dynamic and stabilizing properties. We argue that consciousness has a biological function, which is to present the subject with a (...) multimodal, situational survey of the surrounding world and body, subserving complex decision-making and goal-directed behavior. This survey reflects the brain’s capacity for internal modeling of external events underlying changes in sensory state. Next, we follow an inside-out approach: how can the features of conscious experience, correlating to mechanisms inside the brain, be logically coupled to externally observable properties? Instead of proposing criteria that would each define a “hard” threshold for consciousness, we outline six indicators: goal-directed behavior and model-based learning; anatomic and physiological substrates for generating integrative multimodal representations; psychometrics and meta-cognition; episodic memory; susceptibility to illusions and multistable perception; and specific visuospatial behaviors. Rather than emphasizing a particular indicator as being decisive, we propose that the consistency amongst these indicators can serve to assess consciousness in particular species. The integration of scores on the various indicators yields an overall, graded criterion for consciousness, somewhat comparable to the Glasgow Coma Scale for unresponsive patients. When considering theoretically derived measures of consciousness, it is argued that their validity should not be assessed on the basis of a single quantifiable measure, but requires cross-examination across multiple pieces of evidence, including the indicators proposed here. Current intelligent machines, including deep learning neural networks and agile robots, are not indicated to be conscious yet. Instead of assessing machine consciousness by a brief Turing-type of test, evidence for it may gradually accumulate when we study machines ethologically and across time, considering multiple behaviors that require flexibility, improvisation, spontaneous problem-solving and the situational conspectus typically associated with conscious experience. (shrink)

BackgroundEthical analyses of disorders of consciousness traditionally focus on residual awareness. Going one step further, this paper explores the potential ethical relevance of the unawareness retained by patients with disorders of consciousness, focusing specifically on the ethical implications of the description of the unconscious provided by recent scientific research.MethodsA conceptual methodology is used, based on the review and analysis of relevant scientific literature on the unconscious and the logical argumentation in favour of the ethical conclusions.ResultsTwo conditions that are generally considered (...) critical components in the ethical discussion of patients with disorders of consciousness might arguably be both conscious and unconscious.ConclusionsThe unconscious, as well as consciousness, should be taken into account in the ethical discussions of patients with disorders of consciousness. (shrink)

The present dissertation starts from the general claim that neuroscience is not neutral, with regard to theoretical questions like the nature of consciousness, but it needs to be complemented with dedicated conceptual analysis. Specifically, the argument for this thesis is that the combination of empirical and conceptual work is a necessary step for assessing the significant questions raised by the most recent study of the brain. Results emerging from neuroscience are conceptually very relevant in themselves but, notwithstanding its theoretical sophistication, (...) neuroscience is not sufficient to provide a complete interpretation or an appropriate understanding of their impact. Consequently, the present thesis starts from the need for an interdisciplinary and hybrid field of research, i.e. fundamental neuroethics. Within this framework, the thesis takes consciousness and related disorders and the addicted brain as illustrative cases of the potential fruitful collaboration between empirical and conceptual investigations. The general goal of the thesis is to contribute to the overall development of bridging the gap between empirical and conceptual understandings of consciousness. The first paper sets the theoretical framework, providing an empirically-based description of the brain with significant philosophical implications for an understanding of consciousness. The last three papers of the thesis try to apply the theoretical framework to illustrative cases. Papers II and III analyse the possible application of science and technology for an easier detection and clinical care of patients with disorders of consciousness, with particular attention to communication mediated by neurotechnology and the simulation of the conscious brain, respectively; paper IV provides a potentially new ethical analysis of addiction within the elaborated general conceptual framework. The conclusion of the thesis is that the impact of neuroscientific results needs that a dedicated conceptual approach reveals and investigates their conceptual meaning. This conceptual analysis is not exclusive but integrative and complementary to the empirical science. The case of consciousness, analysed from both an ethical and conceptual point of view, is highly illustrative in this respect. In the end, a conceptual/linguistic work of clarification is urgently needed. (shrink)