Dan Lloyd

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 ..

It wasn't that hard to be a polymath in ancient Greece. All it meant, when you come down to it, was that you could write a poem, speak classical Greek (not very difficult in the circumstances) and understand the mechanics of the Archimedes' screw. Today it's not so easy. Arts and sciences have, for the most part, diverged to an alarming extent, with those on the arts side likely to be as hard-pressed to explain the technologies that increasingly govern our world as a member of a "lost" tribe in the Brazilian rainforest.

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

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.

& Functional brain imaging offers new opportunities for the begin with single-subject (preprocessed) scan series, and study of that most pervasive of cognitive conditions, human consider the patterns of all voxels as potential multivariate consciousness. Since consciousness is attendant to so much encodings of phenomenal information. Twenty-seven subjects of human cognitive life, its study requires secondary analysis from the four studies were analyzed with multivariate of multiple experimental datasets. Here, four preprocessed methods, revealing analogues of phenomenal structures, datasets from the National fMRI Data Center are considered: particularly the structures of temporality. In a second Hazeltine et al., Neural activation during response competi- interpretive approach, artificial neural networks were used tion; Ishai et al., The representation of objects in the human to detect a more explicit prediction from phenomenology, occipital and temporal cortex; Mechelli et al., The effects of namely, that present experience contains and is inflected by presentation rate during word and pseudoword reading; and past states of awareness and anticipated events. In all of 21 Postle et al., Activity in human frontal cortex associated with subjects in this analysis, nets were successfully trained to spatial working memory and saccadic behavior. The study of extract aspects of relative past and future brain states, in consciousness also draws from multiple disciplines. In this comparison with statistically similar controls. This exploratory article, the philosophical subdiscipline of phenomenology study thus concludes that the proposed methods for provides initial characterization of phenomenal structures ‘‘neurophenomenology’’ warrant further application, includ- conceptually necessary for an analysis of consciousness. These ing the exploration of individual differences, multivariate structures include phenomenal intentionality, phenomenal differences between cognitive task conditions, and explora- superposition, and experienced temporality..

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.

A philosophical zombie is a being indistinguishable from an ordinary human in every observable respect, but lacking subjective consciousness. Zombiehood implies *linguistic indiscriminability*, the zombie tendency to talk and even do philosophy of mind in language indiscriminable from ordinary discourse. Zombies thus speak *Zombish*, indistinguishable from English but radically distinct in reference for mental terms. The fate of zombies ultimately depends on whether Zombish can be consistently interpreted. If it can be interpreted consistently, then zombies remain possible, but no test could ever reveal whether anyone is speaking Zombish. Any materialist theory of consciousness is therefore already a theory in Zombish, and is equally confirmable in its human language edition and its zombie-language edition . On the other hand, if Zombish cannot be consistently interpreted, then the zombies described in Zombish are logically impossible. Either way, the search for a materialistic theory of consciousness should be untroubled by the zombies among us

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.

The continual background awareness of duration is an essential structure of consciousness, conferring temporal extension to the many objects of awareness within the evanescent sensory present. Seeking the possible neural correlates of ubiquitous temporal awareness, this article reexamines fMRI data from off-task “default mode” periods in 25 healthy subjects studied by Grady et al. , 2005). “Brain reading” using support vector machines detected information specifying elapsed time, and further analysis specified distributed networks encoding implicit time. These networks fluctuate; none are continuously active during DM. However, the aggregate regions of greatest variability closely resemble the default mode network. It appears that the default mode network has an important role as a state-dependent monitor of temporality

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 .

In lieu of an abstract, here is a brief excerpt of the content:Commentary on “Searle and the ‘Deep Unconscious’”Dan Lloyd (bio)Can another person know my thoughts with better authority than I know them myself? With his affirmative answer to this question, Freud invented the twentieth-century human, a being whose mind is accessible to scrutiny from outside, and whose attempts at conscious self-explanation are at best partial and in many cases wrong. Even as Freud’s scientific influence wanes, the shift of authority he inaugurated is still gathering strength. Now the mind is open to many outsiders. Not only psychoanalysts, but behaviorists, cognitive scientists, and neuroscientists are all striving to read my mind, and yours. Against this historical sea change stands the solitary John Searle, whose work is consistently animated by fierce adherence to first person authority and surly attacks of any theory that could be exploited to undermine that authority. To most readers Searle’s positions seem stubbornly anti-scientific and covertly dualistic, despite his insistence to the contrary. And since science is good and dualism is bad, Searle’s arguments have become standing obstacles for theorists to discuss, debate, or dismiss.Buttressing his insistence on first person authority, Searle defends a Cartesian view of mental representation or intentionality, holding that an intentional entity is a conscious entity, either in actuality or potentiality. Deeply unconscious representations are therefore impossible. Eric Gillett has joined the debate just here with a pointed critique of Searle’s argument (also discussed in Lloyd 1990). Gillett performs a double service by challenging Searle’s premises and offering some positive grounds for the deep unconscious. I agree with Gillett that establishing the existence of deeply unconscious representations requires a theory of intentionality that is independent of conscious awareness. Ruth Millikan’s evolutionary teleology is an excellent candidate, in its pursuit of real function and real content (vs. “as-if” interpretation) for mental items.Some questions remain. First, if deeply unconscious entities are clinically important, then in addition to a defense-in-principle of their existence we will need some method of identifying specific deep representations in particular cases. Millikan’s functionalism links content to broad biological and environmental contexts, and thereby seems to be an unwieldy tool for content ascription. If deeply unconscious representations get their content in the way Millikan describes, how can the clinician make use of them?Second, and more important, Millikan’s theory shares with many others the ambition to explain all intentional entities, conscious and unconscious alike. This leads to a new dualism of mental contents, a split between intentional content and conscious content, since the comprehensive theory of intentionality will assign mental content both [End Page 201] shallow and deep, irrespective of consciousness. This is a perplexity that transcends particular theories of intentionality, since what my mental states represent seems at least partly dependent on my environment or context, but my current state of consciousness is exclusively dependent on my brain. How, in theory, can these two concepts of content be reconciled?In sum, deeply unconscious representations do not come cheap. One way to escape the new dualism of content is to deny that the deep entities are representations. Instead, they might be dispositions or the “mechanisms, instinctual drives, structures, and energies which can never become conscious under any conditions,” as Gillett suggests. (In Lloyd 1994 I explore the possibility of a dispositional unconscious understood via connectionism.) On this view, mental content could remain within our first person authority, while the causal processes that manage that content remain out of sight. I wouldn’t have to guess what I’m thinking, but I would depend on the sciences of the mind to tell me how I come to think it.Related ArticlesFeature Article: Searle and the "Deep Unconscious"Commentary: Commentary by LloydDan Lloyd Dan Lloyd, Department of Philosophy, Trinity College, Hartford, CT 06106, U.S.A.ReferencesLloyd, D. 1990. Loose connections: Four problems with Searle’s argument for the ‘Connection Principle.’ Behavioral and Brain Sciences 13: 615–16. Google ScholarLloyd, D. 1994. Connectionist hysteria: Reducing a Freudian case study to a network model. Philosophy, Psychiatry, & Psychology 1, no. 2: 69–88. Google ScholarCopyright © 1996 The Johns Hopkins University Press...

For more than a century the paradigm inspiringcognitive neuroscience has been modular and localist.Contemporary research in functional brain imaginggenerally relies on methods favorable to localizingparticular functions in one or more specific brainregions. Meanwhile, connectionist cognitive scientistshave celebrated the computational powers ofdistributed processing, and pioneered methods forinterpreting distributed representations. This papertakes a connectionist approach to functionalneuroimaging. A tabulation of 35 PET (positronemission tomography) experiments strongly indicatesdistributed function for at least the ''medium sized''anatomical units, the cortical Brodmann areas. Moreimportant, when these PET experiments were interpretedas distributed representations, multidimensionalscaling revealed a ''brain activation space'' with asalient structure organized primarily by the sensorymodality of the stimulus, and secondarily by the typeof motor response. These results suggest that currentanalytical techniques in functional neuroimagingshould be augmented by distributed processinganalyses, and that these analyses may lead to manydiscoveries about the structure of ''inner space.''