Dan Lloyd

Daniel Dennett’s expansive works repeatedly discuss the nature of the Self. As with his energetic reconstruals of qualia, consciousness, and free will (among others), Dennett debunks the existence of the Self as a reified entity in the brain or mind, or as equivalent to one’s body. Instead, he proposes to understand the self as a “center of narrative gravity” (CNG), an abstract entity. This paper addresses the CNG, working toward a positive account that explicates the double metaphor via the analysis of the nature of narrative. As with selves, stories are not equivalent to their surface representation, but rather are abstract entities emergent from narratives. Following the classical narratologists, I identify the CNG with the “fabula,” the underlying temporal sequence of narrated events. Fabulae, I suggest, capture the spirit and implications of Dennett’s idea, and illuminate a critical center of our personal and interpersonal lives.

The central characteristic of cognitive explanations of behavior is the appeal to inner representations. I examine the grounds which justify representational explanations, seeking the minimum conditions which organisms must meet to be candidates for such explanations. I first discuss Fodor's proposal that representationality be attributed to systems which respond to nonnomic properties, arguing that the distinction between the nomic and nonnomic in perception is fatally ambiguous. Then I turn to an illustrative review of the behavior and neurobiology of Hermissenda crassicornis, a marine mollusk. Concerning this "model system," I compare the representational style of explanation with both behaviorist and neurophysiological explanations. Representational explanation is potentially more comprehensive than its rivals, and thus I conclude that representations are useful posits wherever internal information-bearing states mediate behavior

Many recovering dualists find that the old Cartesian demons are hard to exorcise. Dual substance abuse manifests itself not only as metaphysical dualism, but as a pervasive epistemological framework that creates an unhealthy codependent relationship between scientific realism and phenomenology. Daniel Dennett has led philosophers to recognize many of the symptoms of creeping crypto Cartesianism. In this paper, I try to take Dennett to the limit: Descartes lives on, I argue, in the very heart of cognitive science, in the concept of representation. I outline a five-step program for overcoming this lingering, fundamental, allegiance to Cartesianism, and discuss Dennett's own progress along this path.

Commonsense psychology and cognitive science both regularly assume the existence of representational states. I propose a naturalistic theory of representation sufficient to meet the pretheoretical constraints of a "folk theory of representation", constraints including the capacities for accuracy and inaccuracy, selectivity of proper objects of representation, perspective, articulation, and "efficacy" or content-determined functionality. The proposed model states that a representing device is a device which changes state when information is received over multiple information channels originating at a single source. The changed state of a representing device is a representation. The unitary information source which would give rise to the information impinging on the representing device, and hence, give rise to the representation, is the content of the representation. The model meets the pretheoretic constraints, and also conforms to available neurobiological data for two invertebrate species

Accounting for phenomenal structure—the forms, aspects, and features of conscious experience—poses a deep challenge for the scientific study of consciousness, but rather than abandon hope I propose a way forward. Connectionism, I argue, offers a bi-directional analogy, with its oft-noted “neural inspiration” on the one hand, and its largely unnoticed capacity to illuminate our phenomenology on the other. Specifically, distributed representations in a recurrent network enable networks to superpose categorical, contextual, and temporal information on a specific input representation, much as our own experience does. Artificial neural networks also suggest analogues of four salient distinctions between sensory and nonsensoty consciousness. The paper concludes with speculative proposals for discharging the connectionist heuristics to leave a robust, detailed empirical theory of consciousness.

To william james, conscious life was a stream; to Edmund Husserl, a flow. These metaphors point to the marvelous continuity of experience as it weaves through the world of thought and things. We might similarly talk about the flow of the body, as I reach for my cup of coffee. A physiologist could decompose the action, isolating the contribution of each muscle and joint to the whole. This functional analysis would constitute one form of explanation of the movement. As we replace "I grab the cup" with the physiologist's account, there is a shift in level of description and a turn toward underlying processes, but the physiologist has added nothing to nature. Explanation of this sort, functional reduction, is simply a ..

Could "cognitive neuroscience" be an oxymoron? "Cognitive" and "neuroscience" cohere only to the extent that the entities identified as "cognitive" can be coordinated with entities identified as neural. This coordination is typically construed as intertheoretic reduction between "levels" of scientific description. On the cognitive side, folk psychological concepts crystallize into behavioral taxonomies, which are further analyzed into purported cognitive capacities. These capacities are expressed or operationalized in paradigmatic experimental tasks. These cogs comprise a stable ontology, sustaining more than a century of psychology. On the neural side, the biological hierarchy from cells to brains also affords a .

Context: Neurophenomenology lies at a rich intersection of neuroscience and lived human experience, as described by phenomenology. As a new discipline, it is open to many new questions, methods, and proposals. Problem: The best available scientific ontology for neurophenomenology is based in dynamical systems. However, dynamical systems afford myriad strategies for organizing and representing neurodynamics, just as phenomenology presents an array of aspects of experience to be captured. Here, the focus is on the pervasive experience of subjective time. There is a need for concepts that describe synchronic (parallel) features of experience as well as diachronic (dynamic) structures of temporal objects. Method: The paper includes an illustrative discussion of the role of temporality in the construction of the awareness of objects, in the tradition of Husserl, James, and most of 20th century phenomenology. Temporality illuminates desiderata for the dynamical concepts needed for experiment and explanation in neurophenomenology. Results: The structure of music – rather than language – is proposed as a source for descriptive and explanatory concepts in a neurophenomenology that encompasses the pervasive experience of duration, stability, passing time, and change. Implications: The toolbox of cognitive musicology suddenly becomes available for dynamical systems approaches to the neurophenomenology of subjective time. The paper includes an illustrative empirical study of consonance and dissonance in application to an fMRI study of schizophrenia. Dissonance, in a sense strongly analogous to its acoustic musical meaning, characterizes schizophrenia at all times, while emerging in healthy brains only during distracting and demanding tasks. Constructivist content: Our experience of the present is a continuous and elaborate construction of the retention of the immediate past and anticipation of the immediate future. Musical concepts are almost entirely temporal and constructivist in this temporal sense – almost every element of music is constructed from relations to non-present musical/temporal contexts. Musicology may offer many new constructivist concepts and a way of thinking about the dynamical system that is the human brain

O'Brien & Opie's vehicle hypothesis is an attractive framework for the study of consciousness. To fully embrace the hypothesis, however, two of the authors' claims should be extended: first, since phenomenal content is entirely dependent on occurrent brain events and only contingently correlated with external events, it is no longer necessary to regard states of consciousness as representations. Second, the authors' insistence that only stable states of a neural network are conscious seems ad hoc.

Connectionism—also known as parallel distributed processing, or neural network modeling—offers promise as a framework to unite clinical and cognitive psychology, and as a tool for studying conscious and unconscious mental activity. This paper describes a neural network model of the case study of Lucy R., from Freud and Breuer's Studies on Hysteria. Though very simple in architecture, the network spontaneously displays analogues of repression and hallucination, corresponding to Lucy R.'s symptoms. Salient elements of Lucy's conscious experience are represented in the model by the activations of neuronlike processors in a fully interconnected network, without hidden units. The model learns to associate elements of experience that were associated in Lucy's case history. Some of these configurations of elements were traumatic for Lucy; trauma is modeled in the network by "emphatic learning," learning accomplished at an abnormally high learning rate. The model suggests that changing associations among conscious elements are sufficient to generate the symptoms Freud observed: apparent repression, hallucination, and recovery through therapy. In the case of Lucy R., Freud's theoretical inference regarding active but unconscious thought is not required by his data. Instead, the unconscious can be understood as a set of complex dispositions embodied in connections between elements of conscious experience.