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发表于 2008-6-22 23:49
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Uttal calls this the "sign-code distinction" and tells us that
these correlates need not necessarily be the "psychoneural equivalents" of the cognitive processes or exert any causal force on the brain or, for that matter, the mind. Rather, they could be neural epiphenomena (signs) generated by some physiological processes other than those that are the true equivalents (codes) of mind. (p. 118)
We would add that this is a cogent argument that few seem to take seriously.
Despite the fact that "[t]he details of how these global, relatively low frequency electrical fields (i.e., EEGs, ERPs [event related potential]) arise from the action of individual cells has not been definitively established" (p.1 14), Uttal suggests "why not look to them as the psychoneural equivalents of cognitive processes" (p. 115). In light of Kennedy's (1959) demonstration that it is possible to generate alpha waves indistinguishable from those recorded on human brains from ordinary bowls of gelatin, Uttal's suggestion is without basis. While Uttal acknowledges Kennedy's demonstration, he simply dismisses it, asserting instead that neural electrical activity is real and not an artifact. However, he continues, "The possibility of a gross misunderstanding of the meaning and significance of the EEG and other global electrical measures of brain activity, however, cannot be discounted" (p. 118). One is left with the impression that Uttal is himself not entirely convinced of much of what he presents as neurological facts.
Uttal also informs us of experiments that make it seem unlikely that the overall electrical field generated during brain activity is the cause of psychological functioning. In two such experiments, by Lashley, Chow, and Semmes (1951) and Sperry, Miner, and Myers (1955), metal foil and pins inserted into the brains of animals had no effect on their behavioral measures or perceptual responses, even though the placement of the foil and pins disrupted the electrical fields generated by the animals' brains. Pribram (1971) reported that applying aluminum hydroxide to the visual area of an animal's brain greatly disrupted the animal's EEG reading, though it had no effect on the animal's performance on a pattern discrimination task.
About the time Pribram executed this important experiment, he also advanced his own holographic field theory. Pribram's account argued that all of memory and perception are simultaneously coded in all parts of the brain, a proposition which is of course analogous to that curious feature of holographic images: the entire holographic image is represented everywhere in the hologram. Any small piece, no matter how selected, has the entire original image. It was thought that this reflected the fact that those with brain injuries often retain memory even though parts of their brain are now destroyed. Uttal again reminds us that Pribram's holographic theory, like all field theories, implicitly assumes that the measured bioelectric brain activity (or behavior) is not just an indicator but actually is the mind itself! Whether the field theorist in question ultimately equivocates, only alluding to the field's "influence" on the mind, or, as in McFadden's CEMI field theory, comes out and explicitly claims that the field is consciousness itself, Uttal rightly states that in either case this is a huge leap in logic.
The discussion turns to other field theories, such as John's statistical theory, Freeman's mass action theory, and Lehar's harmonic resonance theory, all of which still assume that the integrated action of many discrete neurons generates an overall spatial or temporal pattern of the field that is actually the mind. Uttal contends that each of these theories share
a lack of any direct empirical validation with all other theories of the mind. What is even worse is that each and every such theory, based on whatever driving metaphor or analogy motivates it, will always be bedeviled by the likelihood that such validation can never be forthcoming, (p. 126)
In discussing quantum field theories of the mind, Uttal rightly points out that attempts to base speculative claims regarding psychology or the universe on the vague implications of quantum mechanics never produce solid scientific theory. Einstein argued that quantum mechanics only seems to imply what it does because it is incomplete, and Feynman stated that quantum mechanics doesn't imply anything about reality. Nevertheless, many gravitate toward the speculative and tantalizing musings of some quantum physicists, especially when such physicists deviate from their own domain of expertise to offer romantic speculations about the mind based on controversial interpretations of quantum mechanics.
It is easy to explain why so many find such musings tantalizing: many believe that science is cold and boring, that it comes in and takes the wonder out of things and leaves uninteresting equations in its wake. Quantum mechanics, however, seems to add even more mystery, confusion, and wonder, implying that man is the measure of all things. No one can tell us what to believe? Everything I believe is true for me? Mind is all that exists? All the better. Many pseudoscientists and self-help authors, such as Deepak Chopra (2004), feed on such sentiments. They are of course nothing but attitudes and value judgments that have little to do with science itself. For others, nature is complex and fascinating; science is awe-inducing and exciting; a mystery is not an explanation, and a sense of magic has nothing to do with confusion and supernatural humbug. As Uttal points out, with quantum field theories of mind we come D.a.n.gerously close to crossing the line: we are no longer simply talking about incorrect theories; we are now talking about the supernatural, about pseudoscience. As he states, "All of this comes indistinguishably close to a kind of spiritualistic antiscience" (p. 143).
[Ajlmost any farfetched hypothesis, however unverifiable or however it may run counter to normal science, garners an audience. To the degree that it provides some semblance of hope for the residual dualism that permeates human society, even the most abstract proposal becomes grist for parascientific and spiritual fantasies, (p. 148)
Chapter 5 is a discussion of single-neuron theories of the mind. Such theories were stimulated by the development of microelectrodes and, rather than focusing on global patterns or networks, imply that the action of single neurons produces mental events. The history of research in this field is rich and yields much about the functioning of the neuron. However, in the end, it has resulted in the same situation that followed EEG studies: researchers began to assume that the single-neuron responses in perception studies were the psychoneural equivalents of the cognitive perceptual experience (p. 162), an assumption that was extrapolated to include all cognitive functions. However, single-neuron studies suffer from an inherent methodological flaw:
[T]he method [of stimulating single neurons] ... is deeply flawed. . . . Such an experiment is fundamentally an uncontrolled experiment! Even with several, a hundred, or a thousand microelectrodes ... it is not possible to account for the codes and activities of all of the other neurons that might be involved or activated, but which are not examined, (p. 193)
It is also in discussing such single-neuron research that Uttal offers a pertinent caution: so much is going on in the brain, even with the most sim-ple of cognitive functions, that not only will a correlated response be found if sought but also so much is likely occurring in the brain unobserved that almost any hypothesis, however implausible, may likely be supported if a researcher only looks to support it. In short, what the insertion of microelectrodes into neurons can tell us is the sensitivity of that neuron to certain stimuli and conditions. Nothing from such information follows about how consciousness is produced, even though the comparison is a tempting one, since a neuron's sensitivity seems consistent with certain spatiotemporal stimulus patterns.
Thus Uttal hints at an important point concerning scientific research in general: that a certain theory seems to be supported by the evidence at hand never means that it is exclusively supported by the evidence or that its particulars can ever totally be confirmed by the evidence. For example, what is among the most widely believed claims of single-neuron theories simply isn't true: that certain special neurons, or groups of neurons, respond to nothing but faces. Uttal informs us, however, that evidence for this claim is likely an artifact of the complexity of the stimuli chosen in such experiments. More current research has shown that these "face-specific" neurons also respond to other shapes that share some of the sim-pler aspects of the shapes found in faces (e.g., Jiang, Rosen, Zeffiro, VanMeter, Blanz & Riesenhuber, 2006).
Uttal directs his attention to a critique of neural-network theories of mind in chapter 6. Such theories are the most widely adhered to by contemporary cognitive psychologists. They are, however oversimplified and overly artificial. Most are based on computer simulations, even though there is no reason to assume that computer programs are analogous to neural functioning. Most also "introduce a kind of unrealistic, nonbiological, pseudo-crystalline regularity to make it possible to apply mathematical techniques" (p. 198), mathematics, as pointed out in chapter 2, being assumed (falsely) to be among the most important characteristics of good theory. Such assertions are inappropriate, as the assumed regularity fails to resemble the actual nonregularity of the brain.
While the first five chapters of this book are excellent examples of the application of informed skepticism to popular claims, in chapter 6 much of this skepticism is seemingly abandoned. Uttal calls this chapter "Network Theories - Truth Denied," because, he tells us, he considers the neural network of the brain to be the physical equivalent of mind: "The aspect of brain function that is the most plausible psychoneural equivalent of all aspects of mind ... is the adaptive interaction within the huge lattice of neurons O p e r ating collectively" (pp. 251-252). However, these networks are so nonlinearly complex, says Uttal, that we will likely never scientifically understand them. Perhaps the major stumbling block for neural-network theories is this scaling problem. "For reasons that are both arcane and obvious, no one has ever run a computer simulation of a neural network that even begins to approximate the number of neurons involved in even the sim-plest cognitive processes" (p. 235).
It is in this chapter that Uttal pays appropriate homage to one the giants of 20th-century neuropsychology, D. O. Hebb, in a positive discussion of his idea of the cell assembly. Decades of research have shown his ideas to stand the test of empirical validation, and it has been, "without question, profound for all subsequent neural network theories" (p. 207). Nevertheless, Uttal argues that the brain is simply too complex to put Hebb's ideas to an adequate test. "There are just too many neurons, too many unobservable situations, and too many synaptic connections" (p. 208) to permit adequate testing of the cell assembly idea in real brains in the laboratory.
A final word about this chapter concerns the vacuousness of the idea of localized functions in the brain or, in Uttal's lighthearted terminology, "chunkology" or "bumpology." This idea was discussed at length and similarly dismissed in Uttal's earlier book (2001). The best way to summarize the argument against localization is to quote from another neuroscientist, Eliot Valenstein: "The impression exists that if electrodes are placed in a specific part of the brain, a particular behavior can inevitably be evoked. Those who have participated in this research know that this is definitely not the case" (1973, p. 87). It is distressing that this outworn idea has become one of the cornerstone tenets of the highly popular, though seriously misguided discipline of evolutionary psychology (Lickliter & Honeycutt, 2003); that is, the mind, it is proposed, is composed of mental modules inherited from our Pleistocene ancestors (Pinker, 2002).
The final chapter of the book should be required reading for all graduate students in cognitive psychology. Professionals will profit from it as well. With clarity and concision it makes many important general points concerning research in all of experimental psychology. Uttal refers to his earlier discussion of theory and uses the review to address whether the many theories discussed in the book meet the criteria of good scientific theories. The short answer is, "No!" Field theories fail, as they are narrow oversimplifications. They are speculations made possible by technologies such as EEG and ERP recordings, which "are neither accurate nor consistent from trial to trial, from subject to subject, or from experiment to experiment" (p. 250).
Field theories are seductive in that they offer a spurious solution to the "binding problem" (i.e., how do various areas of the brain join together to produce mind?). We are in complete agreement with Uttal's assessment that the binding problem is a "hypothetical conundrum that is generated by the need to put back together that that had been incorrectly separated into parts" (p. 250). Single-neuron theories fail in that they are all uncontrolled experiments. It is significant that single-neuron theories, as well as all field theories and neural-network theories, are essentially untestable, the sine qua non requirement of any good scientific theory. Such theories will always be untestable as long as the black box problem persists. As Uttal reminds us, "The brain may be anatomically exposed but is still closed to examination and analysis by complexity, entropie, and chaotic considerations" (p. 261). "Entropie and chaotic considerations" here refers to two problems: systems with high amounts of information (variability) have low entropy, or predictability, and random processes, even if deterministic in nature, cannot be deterministically predicted since early, small events have later, very large effects. Given innumerably small perturbations early on and their unpredictable, though large effects later on, it becomes impossible to backtrack from effects to causes (you can't uncook an omelet).
Uttal reminds us that each of the theories discussed in this book is really nothing more than a conceptualization of the mind determined by new technologies. Historically, new technologies have supplied new analogies and metaphors that were assumed to be corollaries of mind. This book reviewed such technologies (microelectrodes, EEG, interconnecting lattices, etc.) that have provided new ways of studying the brain and which, in turn, have been taken as demonstrating the nature of the mind itself. In each of these cases the technology used to explore the brain provided us with the theory. Uttal is correct in his warning that (and this is one of the most important statements in his book) "concern should be raised when the methodologies rather than the evidence determine the nature of the theory" (p. 255, emphasis added).
Also problematic is that when comparing measures of brain behavior to cognitive functions, we are relying on hypothetical constructs. "All too often in our science, we may be comparing ill defined phenomenological phantoms, accessed through fallible introspection or marginally effective stimulus control, with objective physical measurements" (p. 257). The problem encountered by the psychologist is that while most of her or his variables are hypothetical constructs, we often cannot seem to agree on how to define and measure them. "It is imperative that I once again reiterate one of the greatest impediments to understanding in this field. It is very difficult, if not impossible, to objectively define any of these terms [i.e., mind, self-awareness, consciousness, cognitive processing]" (p.246). Further, with respect to neural theories of mind, such comparisons are likely false analogies. What is being compared may seem similar, though for very different reasons. Because a computer program mimes some trivial aspect of cognitive functioning (e.g., it "learns" something) in no way implies that the computer program is "like" the brain in any structural way, shape, or form. As the underlying structure of cognition is not known, theories built on such analogies are ultimately untestable and in no way constitute causal explanations. "There is an unfortunate lack of appreciation throughout cognitive neuroscience that such analogies are based on superficial functional descriptions and not reductive explanations" (p. 258). Neural theories of mind are all correlative in nature, are based on "superficial similarities," and contain large conceptual gaps between their premises and conclusions. What is up to behavioral scientists is whether they fill in this gap with fanciful hypotheses, unwarranted bridging assumptions, and unconstrained speculations or instead insist on demonstrable evidence. Choosing the latter may lead us to reject many of the spurious claims made by cognitive psychologists that are fraught with logical errors and untestable assumptions.
Recalling the errors made by experimenters who claim to demonstrate that certain neurons recognize faces, Uttal makes an astute remark that applies to all experimental methodology in general: "[T]he posing of a question can lead to an empirical answer that is preordained by the selection of stimuli or the construction of the experimental protocol" (p. 258). Also pertinent are his remarks concerning the sheer amount of data available, in general; there is so much data out there, in fact, that findings can be marshaled to support almost any theoretical claim. Competing theories regarding the same issue commonly do not even refer to the same experiments, just as pa-pers mak-ing rival claims frequently have little overlap in their references. This factionalism and selective sampling are not the types of synthesis that scientific theories are supposed to embrace. The implication of this fact is that thorough and complete metaanalyses are among the essential studies in psychology, though they are relatively rare in practice. Even when executed, their findings frequently are ignored (see Grove & Meehl, 1996, for a notorious example).
Uttal concludes that "we do not yet have the barest glimmerings of how the brain makes the mind" (p. 259). Further, cognitive psychology, or mentalism, whose theories seldom meet the standards of science because they are often unfalsifiable and inadequately constrained by observable evidence, has proven to be a theoretical dead end. Uttal suggests that psychology replace such with a revitalized form of positivistic behaviorism. We wholly agree that the sentiment of positivism deserves a renaissance. Uttal ends his informative and wonderful book with a list of characteristics that he believes should frame this renewed behaviohstic outlook, including the following: it must accept a compromise between both empiricists and nativists and empiricists and rationalists. Both ontogeny and phylogeny developmentally matter, and it should be recognized that behavior has stimulus causes as well as logical (inferential) causal sequences. It must include a much-needed return of O p e r ationalism, in which constructs are defined in terms of procedures rather than "unverifiable, ad hoc hypothetical mentalist constructs" (p. 262). It must be experimental, as all the best of psychology has been in the past; and, if psychology is going to maintain any claim at being a science, it must not embrace pragmatism. This point cannot be stressed too greatly. Psychology then cannot consist solely of a program enacted to meet the needs of society but must rather be an active quest for verifiable knowledge. If psychology is only the former and never the latter, then all claims that it is a science must be abandoned. We must never forget that theories are not to be tested for their usefulness; programs might be, but not theories of truth. A theory can, after all, be useful and, at the same time, be entirely false (especially in psychology!). |
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