Evan Thompson on core theories of neurophenomenology and time-consciousness

cognitive science, Evan Thompson, Francisco Varela, neurophenomenology

Evan Thompson, one of the authors of 1991’s The Embodied Mind: Cognitive Science and Human Experience, in 2010 authored a sweeping, dare I say even magisterial, account of how science and philosophy should understand consciousness, embodiment, evolution, and neuroscience. Mind in Life: Biology, Phenomenology, and the Sciences of Mind is a work of serious ambition by a gentle-seeming man of hugely impressive learning:

“How is life related to the mind? The question has long confounded philosophers and scientists, and it is this so-called explanatory gap between biological life and consciousness that Evan Thompson explores in Mind in Life.

Thompson draws upon sources as diverse as molecular biology, evolutionary theory, artificial life, complex systems theory, neuroscience, psychology, Continental Phenomenology, and analytic philosophy to argue that mind and life are more continuous than has previously been accepted, and that current explanations do not adequately address the myriad facets of the biology and phenomenology of mind. Where there is life, Thompson argues, there is mind: life and mind share common principles of self-organization, and the self-organizing features of mind are an enriched version of the self-organizing features of life. Rather than trying to close the explanatory gap, Thompson marshals philosophical and scientific analyses to bring unprecedented insight to the nature of life and consciousness. This synthesis of phenomenology and biology helps make Mind in Life a vital and long-awaited addition to his landmark volume The Embodied Mind: Cognitive Science and Human Experience (coauthored with Eleanor Rosch and Francisco Varela).

Endlessly interesting and accessible, Mind in Life is a groundbreaking addition to the fields of the theory of the mind, life science, and phenomenology.”

Due to it’s scope, scale, and depth, I think many of us are taking time to absorb it the riches it contains. Below is an excerpt of what Thompson has to say about neurophenomenology, time consciousness, and dynamics:

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“In recent years, scientists and philosophers interested in the temporal dynamics of consciousness have rediscovered Husserl’s analyses of time-consciousness (Lloyd 2002, 2003; van Gelder 1999b; Varela 1999). Varela in particular puts these analyses to use in his neurophenomenological approach to consciousness and offers a neurophenomenological account of time-consciousness as “an acid test of the entire neurophenomenological enterprise” (Varela 1999, p. 267). Varela formulates the “working hypothesis” of neurophenomenology in the following way: “Phenomenological accounts of the structure of experience and their counterparts in cognitive science relate to each other through reciprocal constraints” (1996. p. 343). By “reciprocal constraints” he means that phenomenological analyses can help guide and shape the scientific investigation of consciousness, and that scientific findings can in turn help guide and shape the phenomenological investigations. A crucial feature of this approach is that dynamic systems theory is supposed to mediate between phenomenology and neuroscience. NeurophenomenoIogy thus comprises three main elements (see Figure 11.2): (1) phenomenological accounts of the structure of experience; (2) formal dynamical models of these structural invariants; and (3) realizations of these models in biological systems. Given that time-consciousness is supposed to be an acid test of the neurophenomenological enterprise, we need to see whether phenomenological accounts of the structure of time-consciousness and neurodynamical accounts of the brain processes relevant to consciousness can be related to each other in a mutually illuminating way. This task is precisely the one Varela undertakes in his neurophenomenology of time-consciousness and in his experimental research on the neurodynamics of consciousness.

Varela’s strategy is to find a common structural level of description that captures the dynamics of both the impressional-retentional-protentional flow of time-consciousness and the large-scale neural processes thought to be associated with consciousness. We have already seen how the flow of time-consciousness is self-constituting. What we now need to examine is how this self-constituting flow is supposed to be structurally mirrored at the biological level by the self-organizing dynamics of large-scale neural activity.

Figure 11.2-Neurophenomenology

Figure 11.2- Neurophenomenology

There is now little doubt in cognitive science that cognitive acts, such as the visual recognition of a face, require the rapid and transient coordination of many functionally distinct and widely distributed brain regions. Neuroscientists also increasingly believe that moment-to moment, transitive (object-directed) consciousness is associated with dynamic, large-scale neural activity rather than any single brain region or structure (Cosmelli, Lachaux, and Thompson, 2007). Hence, any model of the neural basis of mental activity, including consciousness, must account for how large-scale neural activities can operate in an integrated or coherent way from moment to moment.

This problem is known as the large-scale integration problem (Varela et al. 2001). According to dynamical neuroscience, the key variable for understanding large-scale integration is not so much the activity of the individual neural components, but rather the nature of the dynamic links among them. The neural counterparts of mental activity are thus investigated at the level of collective variables that describe emergent and changing patterns of large-scale integration. One recent approach to defining these collective variables is to measure transient patterns of synchronous oscillations between different populations of neurons (Engel, Fries, and Singer 2001; Varela et al. 2001). According to Varela (1995, 1999), these synchrony patterns define a temporal frame of momentary and transient neural integration that corresponds to the duration of the present moment of experience.

Varela presents the reasoning behind this view in the form of three connected, but logically independent, working hypotheses (1994, 1999, pp 274-277):

Hypothesis I: For every cognitive act. there is a singular, specific neural
assembly that underlies its emergence and operation.

According to this hypothesis, the emergence of any cognitive act requires the rapid coordination of many different capacities (attention, perception, memory, motivation, and so on) and the widely distributed neural systems subserving them. The neurophysiological substrate for this large-scale coordination is assumed to be a neural assembly, which can be defined as a distributed subset of neurons with strong reciprocal connections.

In the context of large-scale integration, a dynamic neural assembly engages vast and disparate regions of the brain. There are reciprocal connections within the same cortical area or between areas at the same level of the network; there are also reciprocal connections that link different levels in different brain regions. Because of these strong interconnections across widely distributed areas, a large-scale neural assembly can be activated or ignited from any of its smaller subsets,whether sensorimotor or internal. These assemblies have a transient, dynamic existence that spans the time required to accomplish an elementary cognitive act and for neural activity to propagate through the assembly.

Various empirical and theoretical considerations suggest that the time-scale of such neurocognitive activity—whether it be a perception/ action state (such as an eye or head movement), passing thought or memory, or emotional appraisal—is in the range of a fraction of a second, roughly 250-500 milliseconds or more (see Dennett and Kinsbourne 1992; Poppel 1988). Varela (1999) calls this scale of duration the “1 scale” of large-scale integration and he distinguishes it from the “1/10 scale” of elementary sensorimotor and neural events (10—l00 milliseconds), and the “I0 scale” of descriptive-narrative assessments involving memory. During successive time intervals at the 1/ 10 and 1 scale, there is competition between different neural assemblies: when a neural assembly is ignited from one or more of its smaller subsets, it either reaches coherence or is swamped by the competing activations of other overlapping assemblies. If the assembly holds together after its activation, then one can assume it has a transitory efficacy.”

 

 

 

 

 

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An excerpt from the foundational text of neurophenomenology: Varela, Thompson, and Rosch’s The Embodied Mind

cognitive science, Eleanor Rosch, embodiment, Evan Thompson, Francisco Varela, history of neurophenomenology, introspection, neurophenomenology, The Embodied Mind

It is very,very gratifying to see interest in neurophenomenology increasing. Welcome! Exciting things are happening. If you feel like you could make a contribution to the field, do it! We are still in the early phase, though probably at the “end of the beginning”. In 1996 you could find about three references online (in mid 2013, Google shows 35,400 results). Around then I got a copy of neurophenomenologist/cognitive scientist Francisco Varela, philosopher Evan Thompson, and cognitive psychologist Eleanor Rosch’s The Embodied Mind: Cognitive Science and Human Experience. To this day I am struck by the lucidity of the writing, the patient willingness to explore the virtues of opposing viewpoints, and especially the depth of the challenge to mainstream cognitive neuroscience and psychology. The basic idea is that the science of cognition and the brain needs to somehow reckon with human experience, in all it’s phenomenological, fleshy, ecologically situated complexity. The science of human cognition requires an account of how life seems to us, how it feels, what it means. Not doing so amounts to a shortcut, though an understandable one, given the difficulties routinely encountered. The authors painstakingly present the case for why failing to include the role of the evolutionarily developed phenomenological body and the meaningful, experiential, existential dimensions will hamper scientific accounts of cognition and the brain. Varela, Thompson and Rosch present a radical challenge to the idea that the mind is best modeled based on data and measurements only from the outside, or purely objectively. Cognitive neuroscience describes cognition and consciousness as machinery emerging from the hardware of the brain, and Varela, Thompson and Rosch carefully explore the benefits of this view, but opt for a radical alternative. I am convinced it is the foundational and definitive work in neurophenomenology. Interestingly, Daniel Dennett, a staunch defender of cognitivist orthodoxy, had substantive criticism but went on to say: “the authors find many new ways of putting together old points that we knew were true but didn’t know what to do with, and that in itself is a major contribution to our understanding of cognitive science.” The term “neurophenomenology” does not appear in this book. As I have mentioned elsewhere, the term emerges around 1990 from the work of Charles Laughlin (though there seems to be one mention in a hard-to-find publication from 1988). I had considered directly contacting Varela around 1996 to convince him of the helpfulness of the term “neurophenomenology”, and I must admit to an utter dopamine blast of pleasure when around that time I found his 1996 paper “Neurophenomenology : A Methodological Remedy for the Hard Problem“. Kismet! It was an exciting time, and helped push me towards doing a PhD on one narrow aspect of clinical neurophenomenology: modeling how accurate patients are at reporting on their cardiac rhythm states, and how the brain both enables knowledge and mistaken beliefs about heartbeats . With new people showing an interest in and perhaps coming into this field, we might as well make sure to examine the core text: The Embodied Mind. There is a copy online and here is an excerpt, but I highly recommend getting a physical copy. Here is a section entitled The Retreat into Natural Selection, from Chapter 8: Enaction: Embodied Cognition (for what it’s worth, in my last class as a PhD student, I had my colleagues in David Buss‘ Evolutionary Psychology seminar read and discuss this chapter, and they hated it!) . embodied “In preparation for the next chapter, we now wish to take note of a prevalent view within cognitive science, one which constitutes a challenge to the view of cognition that we have presented so far. Consider, then, the following response to our discussion: “I am willing to grant that you have shown that cognition is not simply a matter of representation but depends on our embodied capacities for action. I am also willing to grant that both our perception and categorization of, say, color, are inseparable from our perceptually guided activity and that they are enacted by our history of structural coupling. Nevertheless, this history is not the result of just any pattern of coupling; it is largely the result of biological evolution and its mechanism of natural selection. Therefore our perception and cognition have survival value, and so they must provide us with some more or less optimal fit to the world. Thus, to use color once more as an example, it is this optimal fit between us and the world that explains why we see the colors we do.” We do not mean to attribute this view to any particular theory within cognitive science. On the contrary, this view can be found virtually anywhere within the field: in vision research, it is common both to the computational theory of Marr and Poggio and to the “direct theory” of J. J. Gibson and his followers.  It is prevalent in virtually every aspect of the philosophical project of “naturalized epistemology.”  It is even voiced by those who insist on an embodied and experientialist approach to cognition. For this reason, this view can be said to constitute the “received view” within cognitive science of the evolutionary basis for cognition. We cannot ignore, then, this retreat into natural selection. Let us begin, once again, with our now familiar case study of color. The cooperative neuronal operations underlying our perception of color have resulted from the long biological evolution of the primate group. As we have seen, these operations partly determine the basic color categories that are common to all humans. The prevalence of these categories might lead us to suppose that they are optimal in some evolutionary sense, even though they do not reflect some pregiven world. This conclusion, however, would be considerably unwarranted. We can safely conclude that since our biological lineage has continued, our color categories are viable or effective. Other species, however, have evolved different perceived worlds of color on the basis of different cooperative neuronal operations. Indeed, it is fair to say that the neuronal processes underlying human color perception are rather peculiar to the primate group. Most vertebrates (fishes, amphibians, and birds) have quite different and intricate color vision mechanisms. Insects have evolved radically different constitutions associated with their compound eyes. One of the most interesting ways to pursue this comparative investigation is through a comparison of the dimensionalities of color vision. Our color vision is trichromatic: as we have seen, our visual system comprises three types of photoreceptors cross-connected to three color channels. Therefore, three dimensions are needed to represent our color vision, that is, the kinds of color distinctions that we can make. Trichromacy is certainly not unique to humans; indeed, it would appear that virtually every animal class contains some species with trichromatic vision. More interesting, however, is that some animals are dichromats, others are tetrachromats, and some may even be pentachromats. (Dichromats include squirrels, rabbits, tree shrews, some fishes, possibly cats, and some New World monkeys; tetrachromats include fishes that live close to the surface of the water like goldfish, and diurnal birds like the pigeon and the duck; diurnal birds may even be pentachromats).  Whereas two dimensions are needed to represent dichromatic vision, four are needed for tetrachromatic vision (see figure 8.6), and five for pentachromatic vision. Particularly interesting are tetrachromatic (perhaps pentachromatic) birds, for their underlying neuronal operations appear to differ dramatically from ours.

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Figure 8.6 Tetrachromatic vs. trichomatic mechanisms are illustrated here on the basis of the different retinal pigments present in various animals. From Neumeyer, Das Farbensehen des Goldfisches. When people hear of this evidence for tetrachromacy, they respond by asking, ”What are the other colors that these animals see?” This question is understandable but naive if it is taken to suggest that tetrachromats are simply better at seeing the colors we see. It must be remembered, though, that a four-dimensional color space is fundamentally different from a three-dimensional one: strictly speaking, the two color spaces are incommensurable, for there is no way to map the kinds of distinctions available in four dimensions into the kinds of distinctions available in three dimensions without remainder. We can, of course, obtain some analogical insights into what such higher dimensional color spaces might be like. We could imagine, for example, that our color space contains an additional temporal dimension. In this analogy, colors would flicker to different degrees in proportion to the fourth dimension. Thus to use the term pink, for example, as a designator in such a four-dimensional color space would be insufficient to pick out a single color: one would have to say rapid-pink, etc. If it turns out that the color space of diurnal birds is pentachromatic (which is indeed possible), then we are simply at a loss to envision what their color experience could be like. It should now be apparent, then, that the vastly different histories of structural coupling for birds, fishes, insects, and primates have enacted or brought forth different perceived worlds of color. Therefore, our perceived world of color should not be considered to be the optimal “solution” to some evolutionarily posed “problem.” Our perceived world of color is, rather, a result of one possible and viable phylogenic pathway among many others realized in the evolutionary history of living beings. Again, the response on the behalf of the “received view” of evolution in cognitive science will be, “Very well, let us grant that color as an attribute of our perceived world cannot be explained simply by invoking some optimal fit, since there is such a rich diversity of perceived worlds of color. Thus the diverse neuronal mechanisms underlying color perception are not different solutions to the same evolutionarily posed problem. But all that follows is that our analysis must be made more precise. These various perceived worlds of color reflect various forms of adaptation to diverse ecological niches. Each animal group optimally exploits different regularities of the world. It is still a matter of optimal fit with the world; it is just that each animal group has its own optimal fit.” This response is a still more refined form of the evolutionary argument. Although optimizations are considered to differ according to the species in question, the view remains that perceptual and cognitive tasks involve some form of optimal adaptation to the world. This view represents a sophisticated neorealism, which has the notion of optimization as its central explanatory tool. We cannot proceed further, then, without examining more closely this idea in the context of evolutionary explanations. We cannot attempt to summarize the state of the art of evolutionary biology today, but we do need to explore some of its classical foundations and their modern alternatives.

History of the development of neurophenomenology pt.II-cognitivism, neurology, and psychology

cognitive science, Francisco Varela, medicine, neurophenomenology

(Part I is here, and part III is here)

In certain respects, development of the view that embodied experience is crucial to understanding the mind and brain reached a nadir in the period after World War II, at least within psychology. Behaviorism had redefined psychology as an “objective” science with no need to refer to consciousness or phenomenology.  There was continuation of phenomenological research from the German gestalt psychologists, but it was not until after World War II that clinically-oriented humanistic psychology explicitly articulated the need for more holistic, “person-centric” perspectives emphasizing existential concerns: the search for meaning, the experience of health and illness, emotions, and consciousness.

While many philosophers in Europe continued to develop phenomenology, Contintental philosophy was increasingly concerned with logical positivism, which emphasized that many traditional problems could be solved through formal logic, and those not approachable in this way were suspect.  Formal logic reached a apotheosis  of sorts with the advent of computers, a class of systems having internal memory storage and symbolic-logical operations, and with them came a number of seminal figures that transformed models of mind and brain. In particular,  Norbert Weiner‘s (1894-1964) meta-discipline of cybernetics, Claude Shannon‘s (1916-2001) information theory, Alan Turing‘s  (1912-1954) and John von Neumann‘s (1903-1957) canonical work on computation, Jean Piaget‘s (1896-1980) theories of the sequential process by which infants and small children learn language and perception in stages, all resulted in an explosion of new perspectives on cognition, language, memory, perception, problem-solving.  By the late 1950’s the overlapping field(s) of artificial intelligence (AI) and cognitive science got the attention of researchers in psychology, linguistics, philosophy of mind, neuroscience, anthropology, therapy, and organizational management. Herbert Simon (1916-2001) modeled human problem solving in the face of uncertain information, and co-developed what became known as general systems theory, and along with Allen Newell (1927-1992) developed automated theorem-provers and chess-playing programs. Noam Chomsky‘s investigation of the symbolic logical rules underlying grammar and syntax generated an attack on environment-produced behaviorist theories of language, the flaws of which dramatically came to a head in the North Texas Symposium on Language in 1959.

While the door to explaining psychological phenomena in terms of mental categories and concepts had been re-opened, these new models generally formulated explanations in terms of impersonal information-processing and rule-based symbolic-logical theories of non-conscious aspects of the mind. These new “cognitivists” had absorbed certain scruples from the behaviorists, and typically disdained concepts such as “consciousness” in their models of the mental processes. Cognitivism remained “system-centric”, not person or body-centered, and focused on reducing mental activity to computational,information-processing and representational processes. There was a general lack of interest in using various first-person, introspection-based methods such as those of William James, or Edmund Husserl, though cognitivism and behaviorism alike asked subjects for verbal reports within experiments.

However, clinical neurologists continued to advance an approach to psychological and cognitive phenomena that reflected a richer and broader understanding of the mind. The First and Second World Wars provided a huge pool of subjects with specific localized lesions and corresponding deficits in memory, speech, motion, etc.  The Russian neurologist Alexander  Luria (1902-1977)  spent about 30 years with a patient, the soldier Zazetsky, who sustained a bullet wound to his left occipito-parietal cortex.  Zazetsky’s struggle to use journal writing cope with being unable to remember new events is described in  The Man With a Shattered World (1972) as a fight “to live, not merely exist.” Zazetsky wrote: “I’m in a fog all the time…. All that flashes through my mind are images…hazy visions that suddenly appear and disappear.”

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Taking the long view of the development of a science of the mind, the praxis-driven demands of the clinic balanced somewhat the behaviorist  and cognitivist disavowal of consciousness as a research topic. Focusing on the struggle of a brain-injured patient to live meaningfully meant that at least a small part of the ever-more fragmented field of psychology overtly or implicitly emphasized embodied and conscious aspects of cognition.  It should be emphasized that a division of labor was in effect. Clinicians deal with people, while cognitive scientists deal with systems. As neurologists and psychologists published case studies,  the more theoretically minded extrapolated from these reports to highlight an understanding  of human mental functioning that did not exclude consciousness and the existential, personal, meaningful dimensions of experience that are grounded in the lived body.

Across the ocean, in France, while structuralism began to dominate intellectual life after World War II, developments in phenomenological research continued apace. Most imprtantly was the philosopher Maurice Merleau-Ponty (1908-1961) analyzed and critqued the phenomenology of the philosopher/mathematician Edward Husserl. Foregoing Husserl’s hugely ambitious project of project of providing the most rigorous epistemological foundation possible for science and philosophy through investigations into experience, Merleau-Ponty attempted to reintegrate the penetrating Husserlian observation analysis of conscious phenomena into the structure of how consciousness is grounded and lived out bodily.

Phenomenologist Maurice Merleau-Ponty

Phenomenologist Maurice Merleau-Ponty

This change of emphasis allowed a bridge towards grasping how the lived body is related to the objectively-described physical body of physiology, behaviorism, and brain science. Works such as The Structure of Behavior and The Phenomenology of Perception are tantalizing hints that had Merleau-Ponty lived a long life, neurophenomenology might have emerged decades before the 1990’s. Merleau-Ponty articulated a post-Cartesian view of the mind that subverted the subject-object split. He used the notion of co-constitutionality to grapple with the enigmatic coupling and engagement of embodied mind to the world.  Two quotes from The Phenomenology of Perception are appropos (pg. 407):

Inside and outside are inseparable” (pg. 407)

Insofar as I have hands, feet; a body, I sustain around me intentions which are not dependent on my decisions and which affect my surroundings in a way that I do not choose” (pg. 440)

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Those psychiatrists and psychologists who attempted to apply the insights of Husserl, Martin Heidegger (1889-1976) and Merleau-Ponty especially developed what became known as phenomenological psychology. Heidegger gave lectures to physicians about ontology,while Ludwig Binswanger (1881-1966) and Medard Boss (1903-1990) attempted to apply his analysis of dasein (“being-there”) to clinical contexts. Phenomenological psychology showed a pronounced clinical influence from a key synthesizer of the neurological and phenomenological research traditions:  the neuropsychiatrist Erwin Straus (1891-1975, who was possibly the first neurophenomenologist.

Erwin Straus, MD: the first neurophenomenologist?

Erwin Straus, MD: the first neurophenomenologist?

He is quoted in Man, Time, and World: Two Contributions to Anthropological Psychology (1982) as stating:

The physiologist, who in the everyday world relates behavior and brain, actually makes three kinds of things into objects of his reflection: behavior, the brain as macroscopic formation, and the brain in its microscopic structure and biophysical processes. From the whole-the living organism-the inquiry descends to the parts: first of all to an organ-the brain-and finally to its histological elements. Statements concerning the elementary processes acquire their proper sense only in reference back to the original whole

Probably the best known exponent of a phenomenogical approach to clinical psychology and psychiatry was RD Laing (1927-1989), who in 1965 wrote a classic case-study analysis of the experience of schizoids in The Divided Self: an existential study in sanity and madness. In it he describes one patient:

“Julie’s self-being had become so fragmented that she could best be described as living a death-in-life existence in a state approaching chaotic nonentity.

In Julie’s case, the chaos and lack of being an identity were not complete. But in being with her one had for long periods that uncanny ‘praecox’ feeling described feeling’ described by the German clinicians, i.e. of being in the presence of another human being and yet feeling that there was no one there. Even when one felt that what was being said was an expression of someone, the fragment of a self behind the words or actions was not Julie. There might be someone addressing us, but in listening to a schizophrenic, it is very difficult to know ‘who’ is talking, and it is just as difficult to know ‘whom’ is addressing.”

In the 1970’s and early 1980’s, neurologists like Oliver Sacks continued in the neuropsychological tradition of Luria, and documented the  existential struggles of patients with brain disorders. In 1970  he produced an eminently readable,  phenomenologically rich classic of neuropsychology: The Man Who Mistook His Wife for a Hat.  He wrote persuasively that while there are indeed computer-like aspects of the brain, the cognitive, computationalist or information-processing model nonetheless does not address the full spectrum of human psychological reality (pg. 20):

But our mental processes, which constitute our being and life, are not just abstract and mechanical, but personal, as well.”

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The European-flavored, humanistic field of phenomenological psychology (also called existential-phenomenological psychology)  offers an alternative for researchers dissatisfied with mechanistic cognitivitism, behaviorism and physiological psychology. However, as far as I can tell,  after the passing of Erwin Straus, phenomenological psychology has had little or no interest in cognitive neuroscience. The major exception to this I can find was in 1981, when phenomenological/biophysiological psychologist Donald Moss and cognitive neuroscientist Karl Pribram each wrote fascinating essays on comparing brain science and phenomenology  in the collection The Metaphors of Consciousness (Valle and von Eckartsberg, Eds). This is of historical interest as an early instance of an explicit dialoug between neuroscience and existential-phenomenology.

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Pribram’s essay “Behaviorism, Phenomenology, and Holism in Psychology” pointed to the need for a broader, phenomeologically and neurobiologically informed  approach to psychology (pg. 142:

“But there are limits to understanding achieved solely through the observation and experimental analysis of behavior. These limits are especially apparent when problems other than overt behavior are addressed, problems related to thought or to decisional processes, to appetive and other motivational mechanisms, to emotions and feelings, and even to images and perception”.

and (pg. 146):

“Existential-phenomenological psychology has not, up to now, been very clear in it’s methods. I suggest that multidimensional analyses (factor analysis, principle components analysis, stepwise discriminant analysis) might serve well as tools to investigate the structure of experience-in-the-world.”

Moss lucidly analyzed the similarities and divergences between neuroscience and existential-phenomenology  in a essay entitled “Phenomenology and Neuropsychology” (pg.159):

“Pribram points to the role of the brain processes in”constructing” the world as perceived. Yet existential-phenomenology has also emphasized the “constituting functions”of the ego (Husserl), the constituitive role of the lived body (Merleau-Ponty), and the role of the human body and upright posture in articulating the world of sensory experience (Straus). Thus, neither school of thought naively recognizes a reality per se unaffected by the presence and condition of the organism. ”

Such exchanges occurred on the margins of mind-science. By the 1960’s, the largely cold-war funded research program of Artificial Intelligence (A.I) and growing interest in cognitive or information-processing approaches to problems in psychology etc. had produced a “cognitive revolution”.  Some brave cognitivists even made use of introspective techniques (though not without drawing fire from behaviorists). Herbert Simon asked his subjects to verbally report on how they solved logic-puzzles, much to the chagrin of the remaining orthodox behaviorists. The renewal of mentalistic language and willingness to freely use data from introspection and verbal reports from subjects  about how they solved logic problems was a robust challenge to the behaviorists, but over time a rapprochement ensued.

But what really allowed the scientific study of consciousness and experience to re-emerge was the success of theoretical and laboratory neuroscience. EEG data had been produced for years with good temporal but limited spatial resolution, but in the 1970’s and 1980’s an alphabet soup of new imaging technologies (CAT, PET, MRI, and recently MEG) allowed neuroscientists to better “peek inside” the living brains of subjects in experiments. Progress in molecular biology, genomics, and biophysics in the postwar West allowed curious researchers to formulate models of emotions in chemical terms, such as the finding of endogenous opiates (or endorphins) and their receptors in the brain. The finding that nerve fibers connect with the organs of the immune system helped ground theories of the effect of emotions and beliefs on health, leading to the interdiscipline of psychoneuroimmunology. A growing industry to synthesize pharmaceutical products based on the molecular structure of receptor proteins has led to neuropharmacology and neuropsychopharmacology.

Some brain researchers looking for theoretical models of the mind found the information-processing/computationalist approach of the cognitivists limiting in understanding emotions and experience. Cognitive science itself had been rocked from its early (late 1950’s-early 1960’s) success to the gradual realization that many aspects of mind are not easily characterized as formal-logical, rule-based systems, as had been predicted by the phenomenologically-informed philosopher Hubert Dreyfus (1972) in What Computers Can’t Do, where he argued that rule-based, symbolic-logical, representationalist models of mind and language fail to deal with the radically embodied nature of cognition. This was hotly rejected by prominent AI researchers, but later influenced Terry Winograd, among others.

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Mostly the insights of clinical neurologists and phenomenological psychologists were ignored in postwar cognitive science, which had a great overlap with computer science and Artificial Intelligence (A.I). Indeed, cognitivists and AI engineers might profess agnosticism about the neurobiology of the mind, viewing  brain “hardware” as the domain of other specialists. In the late 1950’s and through the 1960’s, cognitive science and Artificial Intelligence seemed to have revolutionary new insights. AI as engineering of useful artifacts overlapped with AI as cognitive modeling. An early era of exciting optimism eventually gave way to slow progress on “general purpose” problem solving.  The limitations of their symbolic-logical, information-processing, and computationalist approach led others to develop the hybrid field of cognitive neuroscience. Sometimes there were interesting discrepancies between the two: onetime “pure” cognitivist Stephen Kosslyn performed neuroimaging experiments on subjects who were asked to rotate mental objects. According to John McCrone’s report of Kosslyn’s work in Going Inside: A Tour ‘Round a Single Moment of Consciousness, the resulting pattern of distributed activity across disparate brain regions was difficult to reconcile with the neat schematic Kosslyn had developed as an abstract cognitive model possessing a few modules for accomplishing aspects of the rotation operation. This lends credence to those who propose that cognitive science must be much more thoroughly integrated with the “gory details” of neuroscience, with the neural networks/connectionist camp serving as a conceptual bridge fro brain to symbols and representations. Over time, the lack of interest in biology and “implementation agnosticism” of some computationalist cognitive scientists has given way to modern cognitive neuroscience. A movement in the 1980’s to reform cognitive science and artificial intelligence along biologically-inspired and “subsymbolic” lines known as connectionism, artificial neural-networks, and parallel-distributed processing splits cogntivism to this day.

A pathbreaking  (and for some, puzzling*) book appeared in the second half of the 1980’s that seemd to point the way to a synthesis of neurobiology, cognitivism, computer science, and phenomenology: Understanding computers and cognition: a new foundation for design by AI and language-processing expert Terry Winograd and Fernando Flores:

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The book proposed a phenomenologically-grounded understanding of how people in real-world environments use systems that software designers build. It took  inspiration from Humberto Maturana and Francisco Varela‘s  idea of autopoesis, a cybernetics-inspired, dynamical theory of organisms self-organizing  their own  structure by regenerating parts and by being coupled to their environment, until death.  The brains of creatures do not represent features (such  as colors) of objects external to them as cognitivists typically assume.  Rather, each ecologically-situated animal brings forth or co-constitutes a perceived world through evolutionarily-selected sensorimotor systems.  Autopoesis is a sort of post-Cartesian biology, and  Maturana and Varela described it in 1981 as:

“a network of processes of production (transformation and destruction) of components which: (i) through their interactions and transformations continuously regenerate and realize the network of processes (relations) that produced them; and (ii) constitute it (the machine) as a concrete unity in space in which they (the components) exist by specifying the topological domain of its realization as such a network.”

While a cognitivist might recognize a consonance with cybernetics here, abandoning representationalism is very difficult for some. What other bridging concepts are there to relate brain and mind events? This is still an open issue.

As it turned out, a sophisticated alternative to cognitivism was on the way: Walter Freeman, Francisco Varela, and others have offered a post-representationalist approach to consciousness, cognition, and the brain based in dynamical systems theory. The undercurrents of dissatisfaction with  understanding the mind as information-processing, rule-based symbolic  logical procedures, and “computations over representations”  emerged in the 1990’s  as embodied cognitive science and neurophenomenology.

(Part I is here, and part III is here)

*-when asked about Understanding Computers and Cognition, a doctoral student in psychology I knew could only shake his head, raise his eyebrows,  and say “that’s a weird book”

Body-knowledge: what is it?

embodiment, Francisco Varela, interoception, Uncategorized, visceral perception

I use the term“body-knowledge”  in my dissertation research primarily to refer to the experience of knowing about one’s own body, and especially embracing perception and assessments of the body through the body.  It is meant to straddle the classic cognitive psychology distinction between explicit knowledge that is verbalizable, and implicit knowledge that may only be revealed through experiments. Trying to define the term brings up a number of questions:

-How is “neurophysiological information-processing” related to “body- knowledge”?

-To what extent does the distinction between conscious and unconscious knowledge need to be invoked to explain that relationship?

-Should beliefs about the body be understood as part of body knowledge? What about attitudes, expectations, and desires concerning one’s body?

-Do the properties of the body vis-à-vis external objects and the external environment factor in, such as my knowledge of my ability to lift x kilograms of weights, or to effect changes in the world with my body?

-How is body-knowledge related to body-state information access?

This latter phrase can be thought of as “internal perception of information about the body”. For present purposes a heuristic understanding probably should suffice: body-state information access refers to what content an individual can perceive, sense, or detect about their body, but also to putative notions of information-processing in the afferent or other nerves that produce the content. As the term “cognition” signifies both mind as a collection of unconscious systems and (however problematically) mind as consciously experienced, body-state information access, as I use the phrase, straddles the divide between subjective and objective aspects of the body (compare to Merleau-Ponty’s (1968) notion of the “corporeal” or “the flesh”). One might extend the concept to mean that body-state information access also refers to a sort of “information gain” in bodily perception: for instance, being aware of digestive processes where one was not previously.

Interoception is another term needing examination: while classically interoception refers to perception of the visceral organs in the inside of the body, consider Bud Craig’s (2002) proposed redefinition (pg.655):

“Interoception should be redefined as the sense of the physiological condition of the whole body (including pain and temperature), and not just of the viscera”

Even if this broader sense becomes accepted, interoception will still include the sense of “interior perception”.  The more expansive signification should then overlap with somatic cognition, a term deployed by neuroscientists (Tanosaki, Suzuki, and Kimura, 2002) who use it to signify perception using body parts such as fingers, and also internal cognition, or even visceral cognition, labels used by researchers who model the relationship of the internal organs to the nervous system and perception (Adam, 1998, pg 156-159).

Compare these to body cognition, which might not only embrace the idea of knowledge of one’s lived, experienced body, “thinking with the body,” but also the somatic, visceral,  neurophysiological, and cognitive systems making the perception and knowledge possible. “Body cognition” would seem to have experiential or phenomenological (that is, felt) dimensions, but should also refer to what are commonly understood to be unconscious mental, neural, and other physiological processes enabling this knowing. The profusion of terms may reflect the inherent complexity of the systems involved, our partial and provisional understanding, or both. Analyzing how the notion of information relates to models that explain how unconscious neurophysiological processes give rise to conscious ones is a particular focus of my project.

As I will be use the term, body-knowledge embraces the notion of using the body as the means to perceive or assess itself, such as with symptom perception. The study of body cognition involves perspectives from many fields, but could be understood as a subset of embodied cognitive science, which differs from standard approaches to the extent that it emphasizes overcoming the Cartesian split between subject and object implicit in cognitive science, and the coupling of human mental activity to a meaningful world. One of the goals of a cognitive science of embodiment would be to construct a model of body knowledge good enough to explain how the embodied brain and mind make knowledge of the body, sensing or perceiving using the body, and the ability of people to use directed attention and introspection to gain “true information” or validated knowledge (compare to beliefs) about the body.

As I use the terms, body-knowledge and body-state information access refer to both experiential-phenomenological knowledge (“I feel hungry” or “I have an itch on my scalp, but not as bad as earlier”) that may form the basis of verbal reports as well as the unconscious, and presumably not explicitly stateable, underlying information processes comprising cognition. This distinction between stable and explicit and non-stateable or implicit knowledge is not a trivial one. Cognitive science, neuroscience, and psychophysiology propose that our conscious awareness and experience of information about the body to be to be somehow made of or caused by unconscious information, because cognitive processes are understood to be mostly unconscious.  Varela, Thompson, and Rosch (1991, pg. 49) point out that cognitive science:

“…postulates processes that are mental but that cannot be brought into consciousness at all. Thus we are not simply unaware of the rules that govern the generation of mental images or of the rules that govern visual processing; we could not be aware of these rules. Indeed, it is typically noted that if such cognitive processes could be made conscious, then they could not be fast and automatic and so could not function properly”