In addition to active wake, emotions are generated and experienced in a variety of functionally different states such as those of sleep, during which external stimulation and cognitive control are lacking. The neural basis of emotions can be specified by regarding the multitude of emotion-related brain states, as well as the distinct neuro- and psychodynamic stages (generation and regulation) of emotional experience.

In this paper, we draw on developmental findings to provide a nuanced understanding of background emotions, particularly those in depression. We demonstrate how they reflect our basic proximity (feeling of interpersonal connectedness) to others and defend both a phenomenological and a functional claim. First, we substantiate a conjecture by Fonagy & Target (International Journal of Psychoanalysis 88(4):917–937, 2007) that an important phenomenological aspect of depression is the experiential recreation of the infantile loss of proximity to significant others. Second, we argue (...) that proximity has a particular cognitive function that allows individuals to morph into a cohesive dyadic system able to carry out distributed emotion regulation. We show that elevated levels of psychological suffering connected to depressive background emotions may be explained not only in terms of a psychological loss, but also as the felt inability to enter into dyadic regulatory relations with others—an experiential constraint that decreases the individual’s ability to adapt to demanding situations. (shrink)

Many philosophical accounts of the emotions conceive of them as susceptible to assessments of rationality, fittingness, or some other notion of aptness. Analogous assumptions apply in cases of emotions directed at what are taken to be only fictional or only imagined. My question is whether the criteria governing the aptness of emotions we have toward what we take to be real things apply invariantly to those emotions we have toward what we take to be only fictional or imagined. I argue (...) that what counts as a reason justifying an emotion can differ across real, fictional, and imagined domains. (shrink)

To figure out whether the main empirical question “Is our brain hardwired to believe in and produce God, or is our brain hardwired to perceive and experience God?” is answered, this paper presents systematic critical review of the positions, arguments and controversies of each side of the neuroscientific-theological debate and puts forward an integral view where the human is seen as a psycho-somatic entity consisting of the multiple levels and dimensions of human existence (physical, biological, psychological, and spiritual reality), allowing (...) consciousness/mind/spirit and brain/body/matter to be seen as different sides of the same phenomenon, neither reducible to each other. The emergence of a form of causation distinctive from physics where mental/conscious agency (a) is neither identical with nor reducible to brain processes and (b) does exert “downward” causal influence on brain plasticity and the various levels of brain functioning is discussed. This manuscript also discusses the role of cognitive processes in religious experience and outlines what can neuroscience offer for study of religious experience and what is the significance of this study for neuroscience, clinicians, theology and philosophy. A methodological shift from “explanation” to “description” of religious experience is suggested. This paper contributes to the ongoing discussion between theologians, cognitive psychologists and neuroscientists. (shrink)

The position advanced in this paper is that the bedrock of emotional feelings is contained within the evolved emotional action apparatus of mammalian brains. This dual-aspect monism approach to brain–mind functions, which asserts that emotional feelings may reflect the neurodynamics of brain systems that generate instinctual emotional behaviors, saves us from various conceptual conundrums. In coarse form, primary process affective consciousness seems to be fundamentally an unconditional “gift of nature” rather than an acquired skill, even though those systems facilitate skill (...) acquisition via various felt reinforcements. Affective consciousness, being a comparatively intrinsic function of the brain, shared homologously by all mammalian species, should be the easiest variant of consciousness to study in animals. This is not to deny that some secondary processes cannot be evaluated in animals with sufficiently clever behavioral learning procedures, as with place-preference procedures and the analysis of changes in learned behaviors after one has induced re-valuation of incentives. Rather, the claim is that a direct neuroscientific study of primary process emotional/affective states is best achieved through the study of the intrinsic , albeit experientially refined, emotional action tendencies of other animals. In this view, core emotional feelings may reflect the neurodynamic attractor landscapes of a variety of extended trans-diencephalic, limbic emotional action systems—including SEEKING, FEAR, RAGE, LUST, CARE, PANIC, and PLAY. Through a study of these brain systems, the neural infrastructure of human and animal affective consciousness may be revealed. Emotional feelings are instantiated in large-scale neurodynamics that can be most effectively monitored via the ethological analysis of emotional action tendencies and the accompanying brain neurochemical/electrical changes. The intrinsic coherence of such emotional responses is demonstrated by the fact that they can be provoked by electrical and chemical stimulation of specific brain zones—effects that are affectively laden. For substantive progress in this emerging research arena, animal brain researchers need to discuss affective brain functions more openly. Secondary awareness processes, because of their more conditional, contextually situated nature, are more difficult to understand in any neuroscientific detail. In other words, the information-processing brain functions, critical for cognitive consciousness, are harder to study in other animals than the more homologous emotional/motivational affective state functions of the brain. (shrink)

The Emotion Ontology is an ontology covering all aspects of emotional and affective mental functioning. It is being developed following the principles of the OBO Foundry and Ontological Realism. This means that in compiling the ontology, we emphasize the importance of the nature of the entities in reality that the ontology is describing. One of the ways in which realism-based ontologies are being successfully used within biomedical science is in the annotation of scientific research results in publicly available databases. Such (...) annotation enables several objectives, including searching, browsing and cross-database data integration. A key benefit conferred by realismbased ontology is that suitably annotated research results are able to be aggregated and compared in a fashion that is based on the underlying reality that the science is studying. This has the potential of increasing the power of statistical analysis and meta-analysis in data-driven science. This aspect has been fruitfully exploited in the investigation of the functions of genes in molecular biology. Cognitive neuroscience uses functional neuroimaging to investigate the brain correlates of areas of mental functioning such as memory, planning and emotion. The use of functional neuroimaging to study affective phenomena such as the emotions is called ‘affective neuroscience’. BrainMap is the largest curated database of coordinates and metadata for studies in cognitive neuroscience, including affective neuroscience (Laird et al., 2005). BrainMap data is already classified and indexed using a terminology for classification, called the ‘Cognitive Paradigm Ontology’ (CogPO), that has been developed to facilitate searching and browsing. However, CogPO has been developed specifically for the BrainMap database, and the data are thus far not annotated to a realism-based ontology which would allow the discovery of interrelationships between research results across different databases on the basis of what the research is about. In this contribution, we describe ongoing work that aims to annotate affective neuroscience data, starting with the BrainMap database, using the Emotion Ontology. We describe our objectives and technical approach to the annotation, and mention some of the challenges. (shrink)

An emotion-based lengthening effect on the perception of durations of emotional pictures has been assumed to result from an arousal-based mechanism, involving the activation of an internal clock system. The aim of this study was to systematically examine the arousal effect on time perception when different discrete emotions were considered. The participants were asked to verbally estimate the duration of emotional pictures from the International Affective Picture System (IAPS). The pictures varied either in arousal level, i.e., high/low-arousal, for the same (...) discrete emotion (disgust or sadness) or in the depicted emotion, e.g., disgust/fear for pictures matched for arousal (high-arousal). The results systematically revealed a lengthening effect on the perception of the duration of the emotional compared to the neutral pictures and indicated that the magnitude of this effect increased with arousal level. Nevertheless, variations in time perception were observed for one and the same arousal level, with the duration of disgust-inducing pictures (e.g., body mutilation) being judged longer than that of fear-inducing pictures (e.g., snake). These results suggest that arousal is a fundamental mechanism mediating the effect of emotion on time perception. However, the effect cannot be reduced to arousal, since the impact of the content of pictures also plays a critical role. (shrink)

I reject Lindquist et al.'s implicit claim that all emotion theories other than constructionist ones subscribe to a “brain locationist” approach. The neural mechanisms underlying relevance detection, reward, attention, conceptualization, or language use are consistent with many theories of emotion, in particular componential appraisal theories. I also question the authors' claim that the meta-analysis they report provides support for thespecificassumptions of constructionist theories.

Are emotion-producing processes modular? Jerry Fodor, in his classic introduction of the notion of modularity, holds that its most important feature is cognitive impenetrability or information encapsulation. If a process possesses this feature, then, as standardly understood, “what we want or believe makes no difference to how [it] works”.In this paper, we will start with the issue of the cognitive impenetrability of emotion-producing processes. It turns out that, while there is abundant evidence of emotion-producing processes that are not cognitively impenetrable, (...) some nonetheless are. We will look at two sorts of case. The first concerns emotional reactions to observed faces, and the second involves what we can call “primitive emotions,” emotions that can be activated by non-doxastic input into regions of the brain we share with more primitive animals.In seeing how some emotion-producing processes can be cognitively impenetrable while others are not, we need to use two commonsensical theses. First, a discussion of modularity must in general operate with a taxonomy that allows for sub-processes or stages of processes. (shrink)

This paper follows a Deweyan suggestion and proposes a structure for emotional activity – pattern of sentiment –as a way to grasp emotional experience in its live occurrence by building upon Dewey’s crucial notion of situation. The first part outlines Dewey’s criticisms of James’s idea of emotion, and verifies the ways in which the recent developments of neuroscience overcome Dewey’s criticisms of James. Given that Dewey’s work is a propitious ground for continuing to renew the discourse about the activities of (...) mind (Mendonça 2003), the second part of the paper outlines a pattern for emotional activity, setting up the first steps for a situational approach of Deweyan inspiration to the nature of emotion. I conclude by pointing out how such a pattern may be a unifying tool for the different emotion theories briefly describing some of the rich directions it provides for future research on philosophy of emotion. (shrink)

Pleasure, in the inclusive usages most important in moral psychology, ethical theory, and the studies of mind, includes all joy and gladness — all our feeling good, or happy. It is often contrasted with similarly inclusive pain, or suffering, which is similarly thought of as including all our feeling bad. Contemporary psychology similarly distinguishes between positive affect and negative affect.[1..

Cognitive theory (CT) is currently the most widely acknowledged framework used to describe the psychological processes in affective disorders like depression. The purpose of this paper is to assess the philosophical assumptions upon which CT rests. It is argued that CT must be revised due to significant flaws in many of these philosophical assumptions. The paper contains suggestions as to how these problems could be overcome in a manner that would secure philosophical accuracy, while also providing an account that is (...) better suited to explaining some of the cognitive, emotional, and bodily manifestations of affective disorders. (shrink)

There is a long-standing debate regarding the nature of the relationship between emotions and consciousness. Majority of existing computational models of emotions largely avoid the issue, and generally do not explicitly address distinctions between the conscious and the unconscious components of emotions. This paper highlights the importance of developing an adequately differentiated vocabulary describing the mental states of interest, and their features and components, for the development of computational models of the relationships between emotions and consciousness. We discuss current psychological (...) theories of emotion, highlighting specific points in the affective processes where links exist with consciousness, and possible roles played by each. We discuss examples of models that are beginning to address components of the interface between emotions and consciousness: models of social emotions, requiring explicit representations of the self; models of affective biases on attention; models of emotion and metacognition; and models of emotion regulation. We conclude with a discussion of some of the challenges associated with modeling mental states whose core distinguishing characteristic is an awareness of affective feelings, and highlight the importance of integrating the diverse approaches to emotion research and modeling currently existing within psychology and neuroscience. (shrink)

Viewed from an evolutionary standpoint, emotions can be understood as situation-specific patterns of energy consumption related to behaviors that have been selected by evolution for their survival value, such as environmental exploration, flight or fight, and socialization. In the present article, the energy linked with emotions is investigated by a strictly energy-based simulation of the evolution of simple autonomous agents provided with random cognitive and motor capacities and operating among food and predators. Emotions are translated into evolving patterns of energy (...) consumption related to situation-specific behaviors. As a result, a variety of behaviors resembling emotions emerge, each with a specific pattern of energy consumption. There is little difference between emotion-like behaviors on individual and collective levels. The fact that these patterns evolve under a strictly energetic selection regime indicates the interesting role and adaptive advantage of emotions as situation-specific energy savers. Although gained through an approach characterized by a highly reduced complexity, these findings support a quantitative understanding of emotions that may improve the existing qualitative approaches and could have far-reaching implications for further research on and conceptualization of emotions and their interactions with cognition. (shrink)

Lindquist et al. convincingly argue that the brain implements psychological operations that are constitutive of emotion rather than modules subserving discrete emotions. However, thenatureof such psychological operations is open to debate. I argue that considering appraisal theories may provide alternative interpretations of the neuroimaging data with respect to the psychological operations involved.