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Evolutionary psychologists claim that the mind contains “hundreds or thousands” of “genetically specified” modules, which are evolutionary adaptations for their cognitive functions. We argue that, while the adult human mind/brain typically contains a degree of modularization, its “modules” are neither genetically specified nor evolutionary adaptations. Rather, they result from the brain’s developmental plasticity, which allows environmental task demands a large role in shaping the brain’s information-processing structures. The brain’s developmental plasticity is our fundamental psychological adaptation, and the “modules” that result (...) from it are adaptive responses to local conditions, not past evolutionary environments. If different individuals share common environ- ments, however, they may develop similar “modules,” and this process can mimic the development of genetically specified modules in the evolutionary psychologist’s sense. (shrink)

This book is perhaps the first to open a dialogue between the two disciplines.

There is a bias in neuroscience toward localizing and modularizing brain functions. Single cell recording, imaging studies, and the study of neurological deficits all feed into the Gallian view that different brain areas do different things and the things being done are confined to particular processing streams. At the same time, there is a growing sentiment that brains probably don’t work like that after all; it is better to conceive of them as fundamentally distributed units, multi‐tasking at every level. This (...) sentiment, however, is much less congenial to the tried‐and‐true experimental protocols available today and to theorizing about the brain in general. This essay examines the tension between current experimental methods and large-scale views of the brain. We argue that this disconnection between experiment and what really are guiding theoretical metaphors seriously impedes progress in neuroscience. (shrink)

For years a debate has raged within the various literatures of philosophy, psychiatry, and psychology over whether, and to what degree, the concepts that characterize psychopathology are social constructions that reflect cultural values. While the majority position among philosophers has been normativist, i.e., that the conception of a mental disorder is value-laden, a vocal and cogent minority have argued that psychopathology results from malfunctions that can be described by terminology that is objective and scientific. Scientists and clinicians have tended to (...) endorse the objectivist position, with some notable exceptions. (shrink)

Spelling out in detail what we do and do not know about phenomenological experience, this book denies the common view of consciousness as a central decision...

What is required to be an interdisciplinary theory in cognitive science is for it to span more than one traditional domain. Generally speaking, as I discuss ...

Given what we know about the segregated nature of the brain and the relative absence of multi-modal association areas in the cortex, how percepts become unified is not clear. However, if we could work out how and where the brain joins together segregated outputs, we would have a start in localizing the neuronal processes that correlate with conscious perceptual experiences. In this essay, I critically examine data relevant for understanding the neurophysiological underpinnings of perception. In particular, I examine the possibility (...) that 40 Hz. oscillatory firing patterns in cortex are important lower-level neuronal events related to perceptual experiences. I suggest that `binding' - understood as a process of hooking together disparate psychological units - reduces to a property inherent in the structure of our brain's firing patterns. However, this reduction may not reflect the firing rates of individual cells, but instead a `higher level' order superimposed on individual cells' activity. (shrink)

It is important to separate the question of binding from the problem of consciousness. Undoubtedly, there are some close connections between the two: my conscious experience is of a bound unity. But my unconscious experiences -- subliminal impressions, masked primings, etc. -- might be bound too for all I know. Hence, some of the recent commentators speak too loosely when they talk of 40 Hz oscillations solving some problem of conscious perception.

In trying to characterize the relationship between psychology and neuroscience, the trend has been to argue that reductionism does not work without suggesting a suitable substitute. I offer explanatory extension as a good model for elucidating the complex relationship among disciplines which are obviously connected but which do not share pragmatic explanatory features. Explanatory extension rests on the idea that one field can "illuminate" issues that were incompletely treated in another. In this paper, I explain how this "illumination" would work (...) between psychology and neuroscience. (shrink)

In this essay, I hope to make clearer what the points of division between the materialists and the sceptics are. I argue that the rifts are quite deep and turn on basic differences in understanding the scientific enterprise. In section I, I outline the disagreements between David Chalmers and me, arguing that consciousness is not a brute fact about the world. In section II, I point out the fundamental difference between the materialists and the sceptics, suggesting that this difference is (...) not something that further discussion or argumentation can overcome. In the final section, I outline one view of scientific explanation and conclude that the source of conflict really turns on a difference in the rules each side has adopted in playing the game. (shrink)

There is a bias in neuroscience toward localizing and modularizing brain functions. Single cell recording, imaging studies, and the study of neurological deficits all feed into the Gallian view that different brain areas do different things and the things being done are confined to particular processing streams. At the same time, there is a growing sentiment that brains probably don’t work like that after all; it is better to conceive of them as fundamentally distributed units, multi‐tasking at every level. This (...) sentiment, however, is much less congenial to the tried‐and‐true experimental protocols available today and to theorizing about the brain in general. This essay examines the tension between current experimental methods and large-scale views of the brain. We argue that this disconnection between experiment and what really are guiding theoretical metaphors seriously impedes progress in neuroscience. (shrink)

I examine what happens in the brain when patients experience chronic pain and when subjects are addicted to alcohol. We can find important parallels between these two cases, and these parallels can perhaps point us toward new ways of treating (or at least understanding) both issues. Interestingly, we can understand both cases as our pleasure system gone awry. In brief, I argue that chronic pain and alcohol addiction both stem from a dysregulation in our brain’s reward structure. This dysregulation in (...) what should be our pleasure circuitry pushes individuals to behave in ways counterproductive to their needs and to feel unpleasant things. In other words, there is likely both something quite right and perhaps quite wrong about how some philosophers are thinking about pain as an evaluative state. I shall be arguing that pain is both hedonic and evaluative, though perhaps not in the ways they are imagining. (shrink)

In Sisyphus's Boulder, Eric Dietrich and Valerie Hardcastle argue that we will never get such a theory because consciousness has an essential property that..

There is a difference between someone breaking a glass by accidentally brushing up against it and smashing a glass in a fit of anger. In the first case, the person's cognitive state has little to do with the event, but in the second, the mental state qua anger is quite relevant. How are we to understand this difference? What is the proper way to understand the relation between the mind, the brain, and the resultant behavior? This paper explores the popular (...) "middle ground" reply in which mental phenomena are claimed to be "as real as" other higher level properties. It argues that this solution fails to answer epistemological difficulties surrounding how to chose the appropriate factors in an explanation. A more sophisticated understanding of scientific theorizing and of the relation between ontology and explanation give us a framework in which we can determine when we should refer to mental states as being the causally efficacious agents for some behavior. (shrink)

There is a difference between someone breaking a glass by accidentally brushing up against it and smashing a glass in a fit of anger. In the first case, the person's cognitive state has little to do with the event, but in the second, the mental state qua anger is quite relevant. How are we to understand this difference? What is the proper way to understand the relation between the mind, the brain, and the resultant behavior? This paper explores the popular (...) "middle ground" reply in which mental phenomena are claimed to be "as real as" other higher level properties. It argues that this solution fails to answer epistemological difficulties surrounding how to chose the appropriate factors in an explanation. A more sophisticated understanding of scientific theorizing and of the relation between ontology and explanation give us a framework in which we can determine when we should refer to mental states as being the causally efficacious agents for some behavior. (shrink)

Newly developed Bayesian perspectives on schizophrenia hold out the promise that a common underlying mechanism can account for many, if not all, of the positive symptoms of schizophrenia. If this is the case, then understanding how schizophrenic minds go awry could shine light on how healthy minds maintain a sense of self. This article investigates this Bayesian promise by examining whether the approach can indeed account for the difficulties with self-awareness experienced in schizophrenia. While I conclude that it cannot, I (...) nonetheless maintain that understanding how the self breaks down in schizophrenia tells us much about how and why the self functions in normal human circumstances. I proceed first by recounting in some detail a Bayesian interpretation of perception, schizophrenia, and self-awareness, as well as some of the empirical data supporting this interpretation, then by exploring aspects of schizophrenia that this approach leaves out. I conclude by discussing what the “left out” aspects tell us about self-awareness, thereby convincing the reader that studying patients with schizophrenia is indeed a useful avenue for understanding awareness of self. (shrink)

Volume 19, Issue 12, December 2019, Page 66-68.

In this article, I argue that as we learn more about how we might intervene in the brain in ways that impact human behavior, the scope of what counts as “moral behavior” becomes smaller and smaller because things we successfully manipulate using evidence-based science are often things that fall outside the sphere of morality. Consequently, the argument that we are morally obligated to morally enhance our neighbors starts to fall apart, not because humans should be free to make terrible choices, (...) but because morality is not something subject to such manipulation. To illustrate my argument, I shall use the rise of veteran diversion courts in the United States as a putative instance of an intervention designed to change human behavior for the better. Part of my purpose in working my way through this case study is to demonstrate that many philosophers have the psychology of immoral action wrong. (shrink)

In this essay, I home in on the difficulties with group-to-individual inferences in neuroscience and how they impact the legal system. I briefly outline how cognitive shortcutting can distort legal decisions, and then turn my attention to G2i inferences, with a special focus on issues of intellectual disability and brain damage. I argue that judges and juries are not situated to appreciate the nuances in brain data and that they are required to make clinical decisions without clinical training. As a (...) result, they effectively ignore those responsibilities and simply decide cases in virtue of what they already believe to be true. How judges actually make decisions in highstakes criminal cases is troubling, but they are also hamstrung in a variety of ways. (shrink)

This paper challenges a central tenet of constructive empiricism, namely that empirical adequacy has a privileged epistemic status. I argue that perceptions of observables are theory-wrought, and theory-wrought in the same ways as the observation sentences we use to describe those perceptions, van Fraassen can draw no privileged or fundamental distinction between what we observe and interpreting those observations through theory. Since empirical adequacy depends upon accurately describing what we observe, and we have no theory-independent reason to believe that what (...) we ‘observe’ is a reflection of what is true, then empirical adequacy can inherit no special connection to what is real via what we observe. The epistemological significance of empirical adequacy is thereby reduced. (shrink)

It has been more than 20 years since the U.S. Supreme Court's landmark decision in Daubert v. Merrell Dow Pharmaceuticals, Inc. on the admissibility of scientific expert witness testimony in legal proceedings. It is time, perhaps, to look back at the history of Daubert decisions to determine whether it and its progeny have lived up to their collective promises to keep bad science out of the courtroom, while allowing in good, especially where the mind and brain sciences are concerned.In this (...) essay, I argue that, although the decision in Daubert describes a general test for the admissibility of scientific evidence, it has not been applied consistently to data and conclusions drawn from the behavioral sciences.... (shrink)

Information processing theories in psychology give rise to executive theories of consciousness. Roughly speaking, these theories maintain that consciousness is a centralized processor that we use when processing novel or complex stimuli. The computational assumptions driving the executive theories are closely tied to the computer metaphor. However, those who take the metaphor serious — as I believe psychologists who advocate the executive theories do — end up accepting too particular a notion of a computing device. In this essay, I examine (...) the arguments from theoretical computational considerations that cognitive psychologists use to support their general approach in order to show that they make unwarranted assumptions about the processing attributes of consciousness. I then go on to examine the assumptions behind executive theories which grow out of the computer metaphor of cognitive psychology and conclude that we may not be the sort of computational machine cognitive psychology assumes and that cognitive psychology''s approach in itself does not buy us anything in developing theories of consciousness. Hence, the state space in which we may locate consciousness is vast, even within an information processing framework. (shrink)

On the one hand, we think that our conscious perceptions are tied to some stage of whatever processing stream we have. On the other hand, we think that our conscious experiences have to resemble the computational states that instantiate them. However, nothing in our alleged stream resembles our experienced perceptions. Hence, a conflict. The question is: How can we go from what we know about neurons, their connections, and firing patterns, to explaining what conscious perceptual experiences are like? No intuitive (...) answer seems plausible. Our perceptual experiences are complex and unified; however, brains divide their processing tasks into small chunks and segregate those smaller pieces across the gray matter. In this essay, I conjecture that what corresponds to our visual perceptions are higher order patterns of bifurcation in an attractor phase space. If I am correct, then the problem of the explanatory gap in philosophy, the binding problem in psychology, and the problem of perception in neuroscience disappear. If the traditional computational perspective is wrong, and sensory processing is not piece-meal, step-wise, and segregated, then there is no need for something in the head to tie things together. (shrink)

There are three basic skeptical arguments against developing a scientific theory of consciousness: theory cannot capture a first person perspective; consciousness is causally inert with respect to explaining cognition; and the notion "consciousness" is too vague to be a natural kind term. Although I am sympathetic to naturalists' counter-arguments, I also believe that most of the accounts given so far of how explaining consciousness would fit into science are incorrect. In this essay, I indicate errors my colleagues on both sides (...) of the fence make in thinking about this issue, as well as outline data relevant to distinguishing conscious states from unconscious ones empirically. (shrink)

Since at least the time of Darwin, we have recognized that our human emotional life is very similar to the emotional life of other creatures. We all react in characteristic ways to emotionally valenced stimuli. Though other animals may not blush or cry, we all have prototypical ways of expressing anger, disgust, fear, sadness, happiness, and curiosity. In assuming that the neural circuits underlying these reactions are homologous or at least analogous across species, neurophysiologists and neuropsychologists have been able to (...) construct impressive and substantial research programmes studying the neural correlates for emotion. They are to be applauded, for we now know quite a lot about where and how basic emotions are processed in the brain. At the same time, there is a dangerous trend developing in the study of emotion in neurophysiology and neuropsychology, a trend toward oversimplifying and reducing emotional responses to the point of distortion. We all know that scientists must abstract away from much of what is going on in order to produce quantitative and unambiguous data. We also know that scientists operate using several basic methodological, technological, and theoretical assumptions. The question I wish to address here is whether, in the case of emotions, scientists haven't gone too far in their tendency to modularize brain processes and to reduce reactions down to their simplest components. (shrink)

I have two goals in this paper. First, I want to show by example that inferences about theoretical entities are relatively contingent affairs. Previously accepted conceptual metaphors in science set both the general form of new theories and our acceptance of the theories as plausible. In addition, they determine how we define the relevant parameters in investigating phenomena in the first place. These items then determine how we conceptualize things in the world. Second, and maybe more importantly, I want to (...) solve a puzzle that falls out of our current explication of attention, namely why we have it. Given the now widely accepted view that our brains are massively parallel, it is difficult to see why we should have evolved attentional mechanisms at all. Why gate when we can already process what we transduce in parallel? Here I answer that puzzle and suggest a perspective on attention that makes it a bit easier to understand, although this perspective also entails that we have to revise how we individuate experimental protocols and relevant data. (shrink)

What counts as a computation and how it relates to cognitive function are important questions for scientists interested in understanding how the mind thinks. This paper argues that pragmatic aspects of explanation ultimately determine how we answer those questions by examining what is needed to make rigorous the notion of computation used in the (cognitive) sciences. It (1) outlines the connection between the Church-Turing Thesis and computational theories of physical systems, (2) differentiates merely satisfying a computational function from true computation, (...) and finally (3) relates how we determine a true computation to the functional methodology in cognitive science. All of the discussion will be directed toward showing that the only way to connect formal notions of computation to empirical theory will be in virtue of the pragmatic aspects of explanation. (shrink)

The sensation of will is not the same thing as the will itself any more than the sensation of hunger is the same thing as being devoid of nutrients. This is not a really surprising claim, but it is the only claim to which Wegner is entitled in his book.

I examine the branch of evolutionary epistemology which tries to account for the character of cognitive mechanisms in animals and humans by extending the biological theory of evolution to the neurophysiological substrates of cognition. Like Plotkin, I construe this branch as a struggling science, and attempt to characterize the sort of theory one might expect to find this truly interdisciplinary endeavor, an endeavor which encompasses not only evolutionary biology, cognitive psychology, and developmental neuroscience, but also and especially, the computational modeling (...) of artificial life programming; I suggest that extending Schaffner''s notion of interlevel theories to include both horizontal and vertical levels of abstraction best fits the theories currently being developed in cognitive science. Finally, I support this claim with examples drawn from computational modeling data using the genetic algorithm. (shrink)

This essay addresses the question: What is the probative value of including neuroscience data in court cases where the defendant might have had a traumatic brain injury? That is, this essay attempts to articulate how well we can connect scientific data and clinical test results to the demands of the Daubert standard in the United States’ court system, and, given the fact that neuroimaging is already being used in our courts, what, if anything, we should do about this fact. Ultimately, (...) I am not sure that there are completely satisfactory answers to this query at this particular time in our legal history. I briefly rehearse the recent use of brain research in our legal system, summarize how neuroscience data regarding TBI and its relation to poor behavioral outcomes are currently used in the courtroom, review challenges with using these data, and highlight fundamental tensions between how the legal system views the causes of behavior and how medicine, neuroscience, and psychology do. Until these tensions are resolved, it is unclear the place neuroscience data should have in courts. (shrink)

Many philosophers of psychology fail to appreciate the constructivist process of science as well as its pragmatic aspects. A well-developed philosophy of science helps to clear many conceptual confusions. However, ridding ourselves of popular complaints only opens more sophisticated worries regarding how we generalize specific events and how we use those generalizations to build physical systems and abstract models. These questions can still be answered though by realizing that science is largely a social enterprise, and how and what we explain (...) depends a great deal upon who is asking the question of whom and when. (shrink)

This article examines how scientists move from physical measurementsto actual observation of single-cell recordings in the brain. We highlight how easy it is to change the fundamental nature of ourobservations using accepted methodological techniques for manipulatingraw data. Collecting single-cell data is thoroughly pragmatic. Weconclude that there is no deep or interesting difference betweenaccounting for observations by measurements and accounting forobservations by theories.

What is consciousness? Of course, each of us knows, privately, what consciousness is. And we each think, for basically irresistible reasons, that all other conscious humans by and large have experiences like ours. So we conclude that we all know what consciousness is. It's the felt experiences of our lives. But that is not the answer we, as cognitive scientists, seek in asking our question. We all want to know what physical process consciousness is and why it produces this very (...) strange, almost mysterious, phenomenon of felt experience. (shrink)