The Complex Dynamical Systems Approach to Inner Psychophysics
نویسنده
چکیده
Most interest in Fechner’s work went to the law of outer psychophysics, which relates external stimulus intensity and sensory experience. Yet, according to Fechner’s own conviction the validity of this law depends entirely on inner psychophysics’ prescription that brain activity and experience are different aspects of the same entity. This means there must be lawful connections between the two that can be expressed as type-identity. This implication of Fechner’s work seems to be of considerable significance today, in setting the agenda for psychophysical, neuroscientific, and interdisciplinary investigations. I suggest that the identity is to be found between dynamic activity patterns in the brain and the time course of perceptual experience. In this perspective, the evolution of coherence in brain activity relates to the micro-evolution of a perceptual experience and the duration of coherence corresponds to the psychological present. I discuss an approach to model these phenomena, based on complex systems dynamics. A romantic undercurrent in 19 century German science, often addressed as Naturphilosophie, has been seeking resource to an overarching concept of “spirit” in an attempt to overcome an overly static image of nature. Lacking the present-day insight in evolution as well as the active, self-organizing capacities of the physical world, materialism was thought to imply the exclusion of goal-directedness from scientific study, leaving the material world passive and inert. The romanticists sought to restore a notion of anima, or active growth into this world. Fechner in Zend-Avesta (Zoroaster; living word) adopted a panpsychism of nature (cf presocratics), which, in a similar vein, was promoted against static materialism. His approach differed in important respects from the romantic Naturphilosophie, and is more consistent with today’s concept of selforganization. This is an intrinsic rather than overarching capacity of nature’s components, and is realized as they engage in mutual interaction. Fechner himself described the difference as one of methodology. Naturphilosophie takes the allgemeine Beseelung as its starting point for speculation on die individuelle Seele. Fechner’s empiricist attitude, however, militated against such speculation. We reach an understanding about the general concept of spirit only by using methods of induction and analogy, taking the individual mind as a starting point. The empiricistic attitude combined with a rejection of outward materialism is a distinctive mark of Fechner’s intellectual pedigree, most notably Lorenz Oken, and connects him with later authors such as Wundt and Mach (Üner, 1998). Although far less known than the “Elemente der Psychophysik” (1860) the ZendAvesta (1851) are more than just an undergrowth of Fechner’s thinking that needs to be cut back in order to reach to the scientific part. In fact, this work contains the conceptual foundation for later scientific developments. The active character of the system is reflected in its Teleologie. It is about self-organizing behavior, resulting into a structure, in which the components at different levels of a part-whole hierarchy take a functional role in the behavior of the whole. Fechner’s psychophysics, therefore, could be understood from today’s point of view as a unique blend of mind/brain identity and dynamic functionalism. Fechner wanted to express the living, evolving, active aspect of nature that he attributes to Seele, or mental life as it is immanent to material beings. Die Sache ist die: es gibt eine auessere sichtbare Seite der Natur, und ich fusse darauf, dass es auch eine unsichtbare oder nur sich selbst sichtbare Seite derselben gibt (p. XIV). Yet, we will not reach an understanding of it through speculation. Induction, analogy, and history are the methods by which the concept of ‘allgemeine Seele’ is won. In other words, the principles of the world can be understood in analogy to the phenomena that occur in our own mind. Their dynamics are manifest to ourselves only. Following the empiricist principle, rather than to speculate about its being, we much see to describe its phenomena and subsume them under some principle, or law. The quantitative expression of this principle is addressed by Fechner as, das “neue Prinzip mathematischer Psychologie, welches zugleich das einer mathematischen Behandlung der gesamten Beziehungen von Koerper und Seele ist”... p XIII . This principle connects, with necessity by law of nature, a quantified experience and a quantified bodily state, through the symbol “=”. With this scientific postulate, the existence of this connection is claimed, not its precise form. Existence rather than precise form provides the necessary underpinning of empirical laws such as Weber/Fechner’s, and any claim beyond that would be speculation. The precise form was unknown in Fechner’s time and is still largely unknown today. Failure to observe this leads to the dismissal of internal psychophysics as being speculative. Consequently, in many of today’s textbooks psychophysics is habitually defined as “-quantification of the way in which psychological experience varies as a function of changes in physical stimulus properties” (Ryan, 1997, p. 105). Reducing psychophysics thus implies dogmatism. The family of Weber/Fechner laws implies loglinear scaling of stimulus intensity. Stevens proposed a power law, and psychophysics was drawn into an ultimately pointless debate over the “right” law (cf. Krueger, 1989). Outer psychophysics, however, is (mere) inductive and analogical expression of the laws of inner psychophysics. “It must be remembered that the stimulus does not cause sensation directly, but rather through the assistance of bodily processes with which it stands in more direct connection. The dependence, quantitatively considered of sensation on stimulus, must finally be translated into one of sensation on the bodily processes which directly underlie the sensation -in short the psycho-physical processes; and the sensation, instead of being measured by the amount of the stimulus, will be measured by the intensity of these processes”. (Fechner, Elemente der Psychophysik). This means that the laws that govern outer psychophysics only apply by approximation. On Fechner’s own terms, log-linear scaling, therefore, can neither claim universal validity, nor uniqueness on account of the data. Gregson (1995) and others have shown many instances where stronger forms of non-linearity govern outer psychophysics. One way to proceed from here is to take far more serious the dynamic aspects of Fechner’s functionalism. Insofar classical psychophysics depends on measurement in equilibrium conditions, dynamic variability is a nuisance which needs to be controlled experimentally and discarded theoretically. This leads to the experimental elimination of Hysteresis and Enhanced Contrast (Hock, Kelso, & Schöner 1993), and them being discarded as error, respectively of habituation and anticipation. Once the focus is on the system characteristics of the mind/brain, the significance of these phenomena as hallmarks of nonlinearity become more obvious. More generally these observations may inspire a reconsideration of sequential effects. Sequential effects that extend across trials, yield evidence for deterministic chaos in system responses (Kelly, Heathcote, Heath, et al. 2001). Such investigations would put an end the systematic underrepresentation of context-dependency in psychophysics. We have seen contextual effects being either reduced to a decision process (Swets, Tanner, & Birdsall, 1961 or, alternatively, to passive scale adjustment, as in adaptation-level theory (Helson, 1964). We can observe context influence effecting psychophysical judgment in a manner that is neither a cognitive decision, nor a passive adaptation. Constancy phenomena (Epstein, 1977) are a case in point. We could go further still: Fechner in his time was still confined to infer the law of inner psychophysics by analogy to that of outer psychophysics. What we know today, is sufficient to claim that system dynamics, rather than being a source of error, has a central, constitutional role on experience. This means that we should make the comparison between experience and the brain, not one between signals, but between dynamic patterns. Ongoing research work in my own laboratory is focused on the computational characterization of the dynamic patterns that arise in visual information processing, both in awareness and the brain. We are choosing a level of description for these phenomena which is optimized for allowing identity-statements. This means that without reservation we can place our work in the tradition of Fechnerian inner psychophysics. A starting point for our work is that in a first-person perspective, perceptual experience is poised between a microscopic and macroscopic orders. The perspectival limit of its micro-dynamics is its Aktualgenese, or emergence of a visual experience. The upper limit is its duration, or persistence in time. The lower and upper limits I have called elsewhere: hologenesis and coherence interval and their roles have been studied in, among others, perceptual priming, interference, perceptual switching, search, and serial learning (van Leeuwen, 1998). To answer the question of inner psychophysics, what are the counterparts in the brain of these experiential phenomena, we need to have a model of the brain that is optimal for identity. A functional isomorphism between brain tissue and experience is required. For this, a level (or grain size) has to be identified that connects to the patterns of experience as identified in hologenesis and coherence interval. Instead of the macroscopic isomorphism originally stipulated by Wolfgang Köhler and the microscopic ones that may exist in the dendritic arborizations, (Pribram, 1984) we would like to propose a mesoscopic level, corresponding anatomically to the layers of brain areas such as V1 and V2 (see also Freeman, Kozma, & Werbos 2001). The activity at this level is likely to be highly nonlinear. To gain an understanding of the behaviour of these systems we started from components that are maximally simple, and have chosen Coupled Maps (CM; Kaneko, 1990) as a convenient mathematical modelling tool. CM are complex dynamical systems, which produce hyperchaotic dynamic patterns of activity, of which Figure 1 provides an illustration. Spontaneous synchronization occurs through the connections between CM network units. These are both lateral and feedback connections, but lateral diffusion processes are emphasized. Figure 1. Synchronization can be modulated by stimulation (in the example above, modulation with a square-shaped pattern). Results in global context influence by diffusion through the local, lateral connections in the network. (from: van Leeuwen & Raffone, 2001). With respect to hologenesis, these models show interesting properties such as invariant pattern creation (van Leeuwen, Verver, & Brinkers, 2000) for memory, iconic encoding, medium and long-term storage, spontaneous rehearsal (van Leeuwen & Raffone, 2001). With respect to coherence intervals, these were observed as dwelling times for certain perceptual interpretations. These have traditionally been modelled as gamma distributions (Borsselino, DeMarco, Alazetta, et al. 1972). The present approach could model these distributions without stochastic assumptions (van Leeuwen, Steyvers, & Nooter, 1997; van Leeuwen, Simionescu, & Raffone, 2001). Figure 2. Dynamic Clustering. (a) In many dynamical systems units tend to synchronize for certain intervals of time. (b) A drifting limit cycle of period 4. (from: van Leeuwen, Simionescu, & Raffone, 2001). Dynamic patterns in these models are observed as clusters of synchronized activity (Figure 2). Clusters are formed and annihilated rapidly, in accordance with its immediate character in experience (hologenesis). Clusters are meta-stable, which means that they have an intrinsic life-cycle (coherence interval). 2
منابع مشابه
Synchronization criteria for T-S fuzzy singular complex dynamical networks with Markovian jumping parameters and mixed time-varying delays using pinning control
In this paper, we are discuss about the issue of synchronization for singular complex dynamical networks with Markovian jumping parameters and additive time-varying delays through pinning control by Takagi-Sugeno (T-S) fuzzy theory.The complex dynamical systems consist of m nodes and the systems switch from one mode to another, a Markovian chain with glorious transition probabili...
متن کاملA Dynamical System Approach to Research in Second Language Acquisition
Epistemologically speaking, second language acquisition research (SLAR) might be reconsidered from a complex dynamical system view with interconnected aspects in the ecosystem of language acquisition. The present paper attempts to introduce the tenets of complex system theory and its application in SLAR. It has been suggested that the present dominant traditions in language acquisition research...
متن کاملNeural Decoding and “Inner” Psychophysics: A Distance-to-Bound Approach for Linking Mind, Brain, and Behavior
A fundamental challenge for cognitive neuroscience is characterizing how the primitives of psychological theory are neurally implemented. Attempts to meet this challenge are a manifestation of what Fechner called "inner" psychophysics: the theory of the precise mapping between mental quantities and the brain. In his own time, inner psychophysics remained an unrealized ambition for Fechner. We s...
متن کاملThe Exact Solution of Min-Time Optimal Control Problem in Constrained LTI Systems: A State Transition Matrix Approach
In this paper, the min-time optimal control problem is mainly investigated in the linear time invariant (LTI) continuous-time control system with a constrained input. A high order dynamical LTI system is firstly considered for this purpose. Then the Pontryagin principle and some necessary optimality conditions have been simultaneously used to solve the optimal control problem. These optimality ...
متن کاملRobust Distributed Source Coding with Arbitrary Number of Encoders and Practical Code Design Technique
The robustness property can be added to DSC system at the expense of reducing performance, i.e., increasing the sum-rate. The aim of designing robust DSC schemes is to trade off between system robustness and compression efficiency. In this paper, after deriving an inner bound on the rate–distortion region for the quadratic Gaussian MDC based RDSC system with two encoders, the structure of...
متن کاملPerformance Appraisal of Research and Development Projects Value-Chain for Complex Products and Systems: The Fuzzy Three-Stage DEA Approach
The purpose of the current research is to provide a performance appraisal system capable of considering the value chain network structure of research and development (R&D) projects for Complex products and systems (CoPS) under uncertainty of data. Therefore, in order to achieve this goal, a network data envelopment analysis (NDEA) approach and the possibilistic programming to provide a new fuzz...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001