Against the View that Consciousness and Attention are Fully Dissociable

In this paper, I will try to show that the idea that there can be consciousness without some form of attention, and high-level top-down attention without consciousness, originates from a failure to notice the varieties of forms that top-down attention and consciousness can assume. I will present evidence that: there are various forms of attention and consciousness; not all forms of attention produce the same kind of consciousness; not all forms of consciousness are produced by the same kind of attention; there can be low-level attention (or preliminary attention), whether of an endogenous or exogenous kind, without consciousness; attention cannot be considered the same thing as consciousness

The self and conscious experience

The primary determinant of the self (S) is the conscious experience (CE) we have of it. Therefore, it does not come as a surprise that empirical research on S mainly resorts to the CE (or lack of CE) that subjects have of their S. What comes as a surprise is that empirical research on S does not tackle the problem of how CE contributes to building S. Empirical research investigates how S either biases the cognitive processing of stimuli or is altered through a wide range of means (meditation, hypnosis, etc.). In either case, even for different reasons, considerations of how CE contributes to building S are left unspecified in empirical research. This article analyzes these reasons and proposes a theoretical model of how CE contributes to building S. According to the proposed model, the phenomenal aspect of consciousness is produced by the modulation—engendered by attentional activity—of the energy level of the neural substrate (that is, the organ of attention) that underpins attentional activity. The phenomenal aspect of consciousness supplies the agent with a sense of S and informs the agent on how its S is affected by the agent’s own operations. The phenomenal aspect of consciousness performs its functions through its five main dimensions: qualitative, quantitative, hedonic, temporal, and spatial. Each dimension of the phenomenal aspect of consciousness can be explained by a specific aspect of the modulation of the energy level of the organ of attention. Among other advantages, the model explains the various forms of S as outcomes resulting from the operations of a single mechanism and provides a unifying framework for empirical research on the neural underpinnings of S

The why of the phenomenal aspect of consciousness: Its main functions and the mechanisms underpinning it

What distinguishes conscious information processing from other kinds of information processing is its phenomenal aspect (PAC), the-what-it-is-like for an agent to experience something. The PAC supplies the agent with a sense of self, and informs the agent on how its self is affected by the agent’s own operations. The PAC originates from the activity that attention performs to detect the state of what I define “the self” (S). S is centered and develops on a hierarchy of innate and acquired values, and is primarily expressed via the central and peripheral nervous systems; it maps the agent’s body and cognitive capacities, and its interactions with the environment. The detection of the state of S by attention modulates the energy level of the organ of attention (OA), i.e., the neural substrate that underpins attention. This modulation generates the PAC. The PAC can be qualified according to five dimensions: qualitative, quantitative, hedonic, temporal and spatial. Each dimension can be traced back to a specific feature of the modulation of the energy level of the OA

The self and conscious experience

The primary determinant of the self (S) is the conscious experience (CE) we have of it. Therefore, it does not come as a surprise that empirical research on S mainly resorts to the CE (or lack of CE) that subjects have of their S. What comes as a surprise is that empirical research on S does not tackle the problem of how CE contributes to building S. Empirical research investigates how S either biases the cognitive processing of stimuli or is altered through a wide range of means (meditation, hypnosis, etc.). In either case, even for different reasons, considerations of how CE contributes to building S are left unspecified in empirical research. This article analyzes these reasons and proposes a theoretical model of how CE contributes to building S. According to the proposed model, the phenomenal aspect of consciousness is produced by the modulation—engendered by attentional activity—of the energy level of the neural substrate (that is, the organ of attention) that underpins attentional activity. The phenomenal aspect of consciousness supplies the agent with a sense of S and informs the agent on how its S is affected by the agent’s own operations. The phenomenal aspect of consciousness performs its functions through its five main dimensions: qualitative, quantitative, hedonic, temporal, and spatial. Each dimension of the phenomenal aspect of consciousness can be explained by a specific aspect of the modulation of the energy level of the organ of attention. Among other advantages, the model explains the various forms of S as outcomes resulting from the operations of a single mechanism and provides a unifying framework for empirical research on the neural underpinnings of S

Studio sulla sintesi dell'acido (R) (S)-2, 3, 3-trimetilbutanoico

The authors report a synthetic study on the syntheis of 2, 3, 3-trimethylbutanoic acid which they prepared by ten different synthetic procedures and compare their results with the ones available in the literature on the preparation of the title compound

Variabilità dei principi attivi in <i>Hypericum perforatum</i> L. vegetante in Sardegna

Vista la grande importanza farmacologica che sta rivestendo l’estratto d’iperico nella cura della depressione (2-3) abbiamo ritenuto interessante indagare la specie spontanea presente in Sardegna. Le analisi sono state effettuate via HPLC

Brain, Mind and Language Functional Architectures

The interaction between brain and language has been investigated by a vast amount of research and different approaches, which however do not offer a comprehensive and unified theoretical framework to analyze how brain functioning performs the mental processes we use in producing language and in understanding speech. This Special Issue addresses the need to develop such a general theoretical framework, by fostering an interaction among the various scientific disciplines and methodologies, which centres on investigating the functional architecture of brain, mind and language, and is articulated along the following main dimensions of research: (a) Language as a regulatory contour of brain and mental processes; (b) Language as a unique human phenomenon; (c) Language as a governor of human behaviour and brain operations; (d) Language as an organizational factor of ontogenesis of mentation and behaviour

Memory-processor co-scheduling in fixed priority systems

A major obstacle towards the adoption of multi-core platforms for real-time systems is given by the difficulties in characterizing the interference due to memory contention. The simple fact that multiple cores may simultaneously access shared memory and communication resources introduces a significant pessimism in the timing and schedulability analysis. To counter this problem, predictable execution models have been proposed splitting task executions into two consecutive phases: a memory phase in which the required instruction and data are pre-fetched to local memory (M-phase), and an execution phase in which the task is executed with no memory contention (C-phase). Decoupling memory and execution phases not only simplifies the timing analysis, but it also allows a more efficient (and predictable) pipelining of memory and execution phases through proper co-scheduling algorithms. In this paper, we take a further step towards the design of smart co-scheduling algorithms for sporadic real-time tasks complying with the M/C (memory-computation) model. We provide a theoretical framework that aims at tightly characterizing the schedulability improvement obtainable with the adopted M/C task model on a single-core systems. We identify a tight critical instant for M/C tasks scheduled with fixed priority, providing an exact response-time analysis with pseudo-polynomial complexity. We show in our experiments that a significant schedulability improvement may be obtained with respect to classic execution models, placing an important building block towards the design of more efficient partitioned multi-core systems

Impact Response of Nanofluid-Reinforced Antiballistic Kevlar Fabrics

In this chapter the possibility to increase the resistance upon ballistic impact of typical Kevlar-based materials by means of silica nanofluids is investigated. Nanofluids are commonly known to have non-newtonian behavior, also indicated as shear thickening fluid (STF) property. STFs are very deformable materials in ordinary conditions (flowing like a liquid as long as no force is applied), but they turn into a very rigid solid-like material at high shear rates. The nanofluid optimization, mainly regarding its chemical and thermal stability, as well as the STF/fabric chemical coupling are crucial issues to tackle, in order to suitably exploit the STF property, i.e. to increase the fabric resistance upon impact. The present work summarizes some experimental results obtained on this subject. In particular, different kind of nanofluids realized by including several percentages of silica nanoparticles within polyethylene glycol are analyzed in terms of their morphological and rheological properties. Later on, the treatment with nanofluids of different typologies of Kevlar materials and the test panels manufacturing is described. Finally, the results of the ballistic characterization of the panels is presented and widely discussed. This latter is performed by means of an in-house built electromagnetic Coil Gun, able to explore a relatively large range of bullet velocity (up to 90m/s) with excellent precision and high degree of test reproducibility. The preliminary results obtained in such energy range show that STF impregnated fabrics have better penetration resistance compared to neat Kevlar, without affecting the fabric flexibility and, mainly, without overweighting the whole panel. That indicates that the addition of STFs to conventional ballistic fabrics enhance the material performances, thus suggesting further investigations in order to make such nanoreinforced materials effective for ballistic application