The literature on brain activity in depression and anxiety is reviewed with an on highlighting discrepancies and inconsistencies. In particular, and posterior asymmetries have been reported for both depression anxiety, but the magnitude and direction of these asymmetries has been We propose that by identifying subtypes of depression and anxiety of these inconsistencies can be explained. In addition, we review suggesting that issues of comorbidity are important to consider in to account for regional brain activity in depression and anxiety.

When people argue they routinely challenge the opinions, views, and attitudes of one another, they seek to cast the other as the aggressor or party at fault, and otherwise exert social control. This article illustrates how members work to hamper challenges, evade control or avoid being negatively characterized by systematically blocking access to a turn in the third position and stopping their opponent’s agenda. Examining 100 hours of public disputes in varieties of English, I use membership categorization analysis and conversation (...) analysis to unpack resistance as part of the structural organization of disputes. I identify two methods of resisting an agenda: passively, whereby a responsive turn stalls the progressivity of the interaction, and actively, whereby a responsive turn disaligns to outrightly suspend the progressivity of the interaction. I discuss how resistance sequentially unfolds across sequential positions, and as an interactional phenomenon which solves the trouble of a challenge. Overall, this article contributes to social interaction research on resistance, public disputes and how social order is constituted in and through talk-in-interaction. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:A Response to Lawrence Ferrara’s Chapter Four in R. Phelps, R. Sadoff, E. Warburton, and L. Ferrara, A Guide to Research in Music Education, 5th Edition (Lanham, Maryland: Scarecrow Press, Inc., 2005)Jack HellerIt is curious that Lawrence Ferrara disagrees with Jack Heller and Edward. J. P. O'Connor's view1 that "philosophy" is not "research," yet in the chapter headings in the book A Guide to Research in (...) Music Education, 5th Edition, Chapter 4 is labeled "Philosophical Inquiry," while other chapters are labeled "Qualitative Research," "Nonexperimental Research," "Quantitative Research," and "Historical Research" (italics added). Why not "Philosophical Research?" Maybe he, too, believes that philosophy is not research.In our Handbook Chapter2 we pointed out that research should be systematic and based on "empirical observation." To make things worse we said that research should try to provide "unbiased evidence." Ferrara ascribes to us a positivistic view that we did not make nor believe. That view, according to Ferrara is that the "key reason for their [our] dismissal of philosophical inquiry (notice inquiry not research) as a bona fide research design is the invariable criterion that they [we] assign to all research if it is indeed research: to present 'unbiased evidence.'" [End Page 89] We still believe that research should try to be as objective as possible while realizing that all observations are researcher dependent and have error. Research should strive to reduce error as much as possible.My reading of Kuhn's The Structure of Scientific Revolutions does not conflict with what was written in our Chapter. We did not claim that data are unbiased but rather that research should try to limit bias and try to interpret observations that can be supported by specific behavior.Philosophy, or more properly model building, should lead research. Assumptions that appear in a model are just that. They are assumptions. Not fact; not unbiased opinion. But these assumptions or philosophical conclusions should not be called research in music education because they do not provide any behavioral evidence as support. The deductive process used in philosophy (syllogistic reasoning, for example) should help to develop hypotheses that can be investigated by an inductive process (data collection). Philosophy is a time honored scholarly activity. We certainly do not mean to diminish its importance. All research should have a philosophical underpinning that should produce a theoretical model. This model then should be tested by research. Our Handbook Chapter takes this position. Philosophy is philosophy, not research.Ferrara paraphrases Rom Harre3 by stating thatthere are at least three realms of scientific research and theory: the first realm is marked by ordinary perception in which what is known is based on observable and empirically verifiable facts; in the second realm, perception may catch up with conception–there is a promise of technological development... through which researchers will eventually be able to 'observe' and empirically verify what they only conceived (as in philosophical inquiry) as the probable explanation; and in the third realm there are genuine theoretical acts of imagination... that will never be directly (italics added) perceived, for example, empirically observed or verified.Ferrara points out that this "positivist dictum [the Harre quote above]... is unrealistic in relation to actual (italics added) scientific research and practice."4 It is not clear to which "actual scientific research and practice" Ferrara refers. This entire view is misguided. Ferrara does not believe "the methodology of the natural sciences can appropriately be utilized in the human sciences and arts research, retaining the level of objectivity (italics added) achieved in the natural sciences." Who does Ferrara believes carries out natural science research? Are they not humans, constrained by the same problems of observation that all humans encounter? Are their observations more "objective" as Ferrara seems to believe? The natural scientist, like all other researchers, faces the issue of error in observing phenomena that all researchers face. (See the many examples of [End Page 90] this view in Jacques Barzun and Henry Graff.5 ) Neither philosophical inquiry, nor logical positivism, nor the "new realism" approach that Ferrara proposes for research is free from observational error. The role of all research is to minimize error.A quick romp through some... (shrink)

In lieu of an abstract, here is a brief excerpt of the content:A Response to Lawrence Ferrara’s Chapter Four in R. Phelps, R. Sadoff, E. Warburton, and L. Ferrara, A Guide to Research in Music Education, 5th Edition (Lanham, Maryland: Scarecrow Press, Inc., 2005)Jack HellerIt is curious that Lawrence Ferrara disagrees with Jack Heller and Edward. J. P. O'Connor's view1 that "philosophy" is not "research," yet in the chapter headings in the book A Guide to Research in (...) Music Education, 5th Edition, Chapter 4 is labeled "Philosophical Inquiry," while other chapters are labeled "Qualitative Research," "Nonexperimental Research," "Quantitative Research," and "Historical Research" (italics added). Why not "Philosophical Research?" Maybe he, too, believes that philosophy is not research.In our Handbook Chapter2 we pointed out that research should be systematic and based on "empirical observation." To make things worse we said that research should try to provide "unbiased evidence." Ferrara ascribes to us a positivistic view that we did not make nor believe. That view, according to Ferrara is that the "key reason for their [our] dismissal of philosophical inquiry (notice inquiry not research) as a bona fide research design is the invariable criterion that they [we] assign to all research if it is indeed research: to present 'unbiased evidence.'" [End Page 89] We still believe that research should try to be as objective as possible while realizing that all observations are researcher dependent and have error. Research should strive to reduce error as much as possible.My reading of Kuhn's The Structure of Scientific Revolutions does not conflict with what was written in our Chapter. We did not claim that data are unbiased but rather that research should try to limit bias and try to interpret observations that can be supported by specific behavior.Philosophy, or more properly model building, should lead research. Assumptions that appear in a model are just that. They are assumptions. Not fact; not unbiased opinion. But these assumptions or philosophical conclusions should not be called research in music education because they do not provide any behavioral evidence as support. The deductive process used in philosophy (syllogistic reasoning, for example) should help to develop hypotheses that can be investigated by an inductive process (data collection). Philosophy is a time honored scholarly activity. We certainly do not mean to diminish its importance. All research should have a philosophical underpinning that should produce a theoretical model. This model then should be tested by research. Our Handbook Chapter takes this position. Philosophy is philosophy, not research.Ferrara paraphrases Rom Harre3 by stating thatthere are at least three realms of scientific research and theory: the first realm is marked by ordinary perception in which what is known is based on observable and empirically verifiable facts; in the second realm, perception may catch up with conception–there is a promise of technological development... through which researchers will eventually be able to 'observe' and empirically verify what they only conceived (as in philosophical inquiry) as the probable explanation; and in the third realm there are genuine theoretical acts of imagination... that will never be directly (italics added) perceived, for example, empirically observed or verified.Ferrara points out that this "positivist dictum [the Harre quote above]... is unrealistic in relation to actual (italics added) scientific research and practice."4 It is not clear to which "actual scientific research and practice" Ferrara refers. This entire view is misguided. Ferrara does not believe "the methodology of the natural sciences can appropriately be utilized in the human sciences and arts research, retaining the level of objectivity (italics added) achieved in the natural sciences." Who does Ferrara believes carries out natural science research? Are they not humans, constrained by the same problems of observation that all humans encounter? Are their observations more "objective" as Ferrara seems to believe? The natural scientist, like all other researchers, faces the issue of error in observing phenomena that all researchers face. (See the many examples of [End Page 90] this view in Jacques Barzun and Henry Graff.5 ) Neither philosophical inquiry, nor logical positivism, nor the "new realism" approach that Ferrara proposes for research is free from observational error. The role of all research is to minimize error.A quick romp through some... (shrink)

While writing the foreword for this special edition of the International Journal for the Semiotics of Law, I was informed of Dr. Nelson R. Mandela’s death. While saddened with his passing, I was struck by the fact, he was one of the two men who most influenced my study and practice of Restorative Justice; the other was my father. Both passed away while this edition was compiled and edited.In the mid 1990s, I first read about Restorative Justice as an aspect (...) of the Truth and Reconciliation Commission (“TRC”) established by Dr. Mandela in post-apartheid South Africa. I was fascinated by his forgiveness of his oppressors and how he infused the ideals of reconciliation and forgiveness into a court-like hearing. It was an opportunity for the victim of human rights violations to face the perpetrator and tell the perpetrator the extent of the injuries he or she suffered. After the victim spoke, the perpetrator had an opportunity to admit to the wrongdoing, take full responsibility for the har. (shrink)

In the field of Conflict Transformation, Restorative Justice is often perceived as a transformative process focused on healing relationships after a specific harm. The parties considered in a RJ setting are those harmed, those responsible and the community impacted. This is particularly true in the field of criminal and transitional justice, and in an extended and spiritual view, there is reconciliation with the parties and God. Despite cultural differences, RJ theory and concepts have been accepted favorably in the many countries. (...) From a viewpoint focused on methodology and process, however, cultural differences have a significant effect for implementation. For example, important concepts such as control, choice, harm, responsibility, apology, shame, reconciliation and forgiveness vary greatly in the manner in which they are perceived from culture to culture and may create obstacles for successful implementation of a successful process when one culture’s process and definitions are forced upon another. Therefore, promotional factors and the implication of semiotics are an absolute consideration in developing a RJ process within a particular culture. This paper discusses the cultural differences between the United States and Japan with regard to semiotic obstacles in the implementation of a RJ model in the Japanese criminal justice system. While the exploration of cultural differences, particularly between the United States and Japan is not new and has been the focus of many disciplines, little has been considered regarding the assimilation and implementation of a Western RJ model into the Eastern culture of Japan. In sum, is an attempt to clarify and integrate the effects of cultural differences for some factors as they apply to a RJ based reconciliation process focused in Semiotics, Social psychology and the Sociology of law as they apply to the United States and Japan. (shrink)

Philosophers, psychologists, neuroscientists, and psychiatrists examine the will and its pathologies from theoretical and empirical perspectives, offering a conceptual overview and discussing schizophrenia, depression, prefrontal lobe damage, and substance abuse as disorders of volition. Science tries to understand human action from two perspectives, the cognitive and the volitional. The volitional approach, in contrast to the more dominant "outside-in" studies of cognition, looks at actions from the inside out, examining how actions are formed and informed by internal conditions. In Disorders of (...) Volition, scholars from a range of disciplines seek to advance our understanding of the processes supporting voluntary action by addressing conditions in which the will is impaired. Philosophers, psychologists, neuroscientists, and psychiatrists examine the will and its pathologies from both theoretical and empirical perspectives, offering a conceptual overview and discussing specific neurological and psychiatric conditions as disorders of volition. After presenting different conceptual frameworks that identify agency, decision making, and goal pursuit as central components of volition, the book examines how impairments in these and other aspects of volition manifest themselves in schizophrenia, depression, prefrontal lobe damage, and substance abuse. Contributors George Ainslie, Tim Bayne, Antoine Bechara, Paul W. Burgess, Anna-Lisa Cohen, Daniel Dennett, Stéphanie Dubal, Philippe Fossati, Chris Frith, Sam J. Gilbert, Peter Gollwitzer, Jordan Grafman, Patrick Haggard, Jay G. Hull, Marc Jeannerod, Roland Jouvent, Frank Krueger, Neil Levy, Peter F. Liddle, Kristen L. Mackiewitz, Thomas Metzinger, Jack B. Nitschke, Jiro Okuda, Adrian M. Owen, Chris Parry, Wolfgang Prinz, Joëlle Proust, Michael A. Sayette, Werner X. Schneider, Natalie Sebanz, Jon S. Simons, Laurie B. Slone, Sean A. Spence. (shrink)

Any instance (i.e., event, behavior, trait) belongs to infinitely many reference classes, hence there are infinitely many base rates from which to choose. People clearly do not entertain all possible reference classes, however, so something must be limiting the search space. We suggest some possible mechanisms that determine which reference class is evoked for the purpose of judgment and decision.

Turing’s analysis of computability has recently been challenged; it is claimed that it is circular to analyse the intuitive concept of numerical computability in terms of the Turing machine. This claim threatens the view, canonical in mathematics and cognitive science, that the concept of a systematic procedure or algorithm is to be explicated by reference to the capacities of Turing machines. We defend Turing’s analysis against the challenge of ‘deviant encodings’.Keywords: Systematic procedure; Turing machine; Church–Turing thesis; Deviant encoding; Acceptable encoding; (...) Turing’s analysis of computability; Turing’s Notational Thesis. (shrink)

RationaleSurrogates of critically ill patients often have inaccurate expectations about prognosis. Yet there is little research on how intensive care unit clinicians should discuss prognosis, and existing expert opinion-based recommendations give only general guidance that has not been validated with surrogate decision makers.ObjectiveTo determine the perspectives of key stakeholders regarding how prognostic information should be conveyed in critical illness.MethodsThis was a multicenter study at three academic medical centers in California, Pennsylvania, and Washington. One hundred eighteen key stakeholders completed in-depth semistructured (...) interviews. Participants included 47 surrogates of adult patients with acute respiratory distress syndrome; 45 clinicians working in study ICUs, including physicians, nurses, social workers, and spiritual care providers; and 26 experts in health communication, decision science, ethics, family-centered care, geriatrics, healthcare disparities, palliative care, psychology, psychiatry, and critical care.Measurements and main resultsThere was broad support among surrogates for existing expert recommendations, including truthful prognostic disclosure, emotional support, tailoring the disclosure strategy to each family's needs, and checking for understanding. In addition, stakeholders offered suggestions that add specificity to existing recommendations, including: In addition to conveying prognostic estimates, clinicians should help families "see the prognosis for themselves" by showing families radiographic images and explaining the clinical significance of physical manifestations of severe disease at the bedside. Many physicians did not support using numeric estimates to convey prognosis to families, whereas many surrogates, clinicians from other disciplines, and experts believed numbers could be helpful. Clinicians should conceptualize prognostic communication as an iterative process that begins with a preliminary mention of the possibility of death early in the ICU stay and becomes more detailed as the clinical situation develops. Although prognostic information should be initially disclosed by physicians, other members of the multidisciplinary team-nurses, social workers, and spiritual care providers-should be given explicit role responsibilities to reinforce physicians' prognostications and help families process a poor prognosis emotionally.ConclusionsFamily members, clinicians, and experts identified specific communication behaviors that clinicians should use to discuss prognosis in the critical care setting. These findings extend existing opinion-based recommendations and should guide interventions to improve communication about prognosis in ICUs. (shrink)

On one hand, Chinese consumers are well known for conspicuous consumption and the adoption of luxury products and named brands. On the other hand, they also have a bad reputation for buying counterfeit products. Their simultaneous preferences for two contrasting types of product present a paradox that has not been addressed in the literature. This study attempts to present an explanation of this paradox by examining the effects of traditional Chinese cultural values and consumer values on consumers’ deontological judgment of (...) pirated CDs and the amount of social benefits they perceive they gain from them. We interviewed 300 Hong Kong Chinese consumers, and found that face consciousness increased materialism and risk aversion, thereby producing a favorable deontological judgment of pirated CDs. Face consciousness also has a direct effect on the amount of social benefits perceived in pirated CDs. Both favorable deontological judgment and perceived social benefits contributed to a strong intention to buy pirated CDs. The results are discussed in a cultural perspective. (shrink)

Respected modern scholars regard the pre-Buddhist philosopher Sañjaya Belaṭṭhiputta—a significant figure in the Buddhist canon—as the originator of the important classical argument- forms known as the catuṣkoṭi and catuṣkoṭi vinirmukta. We argue that the early Buddhist texts do not in fact support this view of the origin of these argument-forms; the question of their origin is open. While it is certainly true that the Pāli Sāmaññaphala Sutta and some of its parallels portray Sañjaya as deploying the catuṣkoṭi, there is nothing (...) in these passages to suggest that he was its originator. The situation concerning the catuṣkoṭi vinirmukta is perhaps even more surprising: There is nothing in the early Pāli texts and their parallels—nor in Buddhagosa’s famous Pāli commentary on the early texts—to show that Sañjaya even deployed the catuṣkoṭi vinirmukta let alone originated it. Further, our investigations also call into question the standard portrayal of Sañjaya as an obfuscator and prevaricator. It appears he may have been a more interesting and able philosopher than the Sāmaññaphala Sutta—and modern accounts based on it—maintain. (shrink)

This article provides a detailed analysis of the transfer of a key cluster of ideas from mathematical logic to computing. We demonstrate the impact of certain of Turing’s logico-philosophical concepts from the mid-1930s on the emergence of the modern electronic computer—and so, in consequence, Turing’s impact on the direction of modern philosophy, via the computational turn. We explain why both Turing and von Neumann saw the problem of developing the electronic computer as a problem in logic, and we describe their (...) joint journey from logic to electronic computation. While much has been written about Turing’s and von Neumann’s individual contributions to the development of the computer, this article investigates less well-known terrain: their interactions and mutual influences. Along the way we argue against ‘logic skeptics’ and ‘Turing skeptics’, who claim that neither logic nor Turing played any significant role in the creation of the modern computer. (shrink)

There are various equivalent formulations of the Church-Turing thesis. A common one is that every effective computation can be carried out by a Turing machine. The Church-Turing thesis is often misunderstood, particularly in recent writing in the philosophy of mind.

To compute is to execute an algorithm. More precisely, to say that a device or organ computes is to say that there exists a modelling relationship of a certain kind between it and a formal specification of an algorithm and supporting architecture. The key issue is to delimit the phrase of a certain kind. I call this the problem of distinguishing between standard and nonstandard models of computation. The successful drawing of this distinction guards Turing's 1936 analysis of computation against (...) a difficulty that has persistently been raised against it, and undercuts various objections that have been made to the computational theory of mind. (shrink)

Alan Turing, pioneer of computing and WWII codebreaker, is one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight.

This article traces the development of possible worlds semantics through the work of: Wittgenstein, 1913-1921; Feys, 1924; McKinsey, 1945; Carnap, 1945-1947; McKinsey, Tarski and Jónsson, 1947-1952; von Wright, 1951; Becker, 1952; Prior, 1953-1954; Montague, 1955; Meredith and Prior, 1956; Geach, 1960; Smiley, 1955-1957; Kanger, 1957; Hintikka, 1957; Guillaume, 1958; Binkley, 1958; Bayart, 1958-1959; Drake, 1959-1961; Kripke, 1958-1965.

A survey of the field of hypercomputation, including discussion of a variety of objections.

Turing''s test has been much misunderstood. Recently unpublished material by Turing casts fresh light on his thinking and dispels a number of philosophical myths concerning the Turing test. Properly understood, the Turing test withstands objections that are popularly believed to be fatal.

Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding.There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. John Searle's (...) attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation, Turing Machines, the Church-Turing Thesis and the difference between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having free will and consciousness and concludes with a discussion of in what sense the human brain may be a computer. (shrink)

Accelerating Turing machines have attracted much attention in the last decade or so. They have been described as “the work-horse of hypercomputation” (Potgieter and Rosinger 2010: 853). But do they really compute beyond the “Turing limit”—e.g., compute the halting function? We argue that the answer depends on what you mean by an accelerating Turing machine, on what you mean by computation, and even on what you mean by a Turing machine. We show first that in the current literature the term (...) “accelerating Turing machine” is used to refer to two very different species of accelerating machine, which we call end-stage-in and end-stage-out machines, respectively. We argue that end-stage-in accelerating machines are not Turing machines at all. We then present two differing conceptions of computation, the internal and the external, and introduce the notion of an epistemic embedding of a computation. We argue that no accelerating Turing machine computes the halting function in the internal sense. Finally, we distinguish between two very different conceptions of the Turing machine, the purist conception and the realist conception; and we argue that Turing himself was no subscriber to the purist conception. We conclude that under the realist conception, but not under the purist conception, an accelerating Turing machine is able to compute the halting function in the external sense. We adopt a relatively informal approach throughout, since we take the key issues to be philosophical rather than mathematical. (shrink)

Accelerating Turing machines are Turing machines of a sort able to perform tasks that are commonly regarded as impossible for Turing machines. For example, they can determine whether or not the decimal representation of contains n consecutive 7s, for any n; solve the Turing-machine halting problem; and decide the predicate calculus. Are accelerating Turing machines, then, logically impossible devices? I argue that they are not. There are implications concerning the nature of effective procedures and the theoretical limits of computability. Contrary (...) to a recent paper by Bringsjord, Bello and Ferrucci, however, the concept of an accelerating Turing machine cannot be used to shove up Searle's Chinese room argument. (shrink)

The neurobiological mechanisms associated with affiliation, that Depue & Collins argue are a central component of extraversion are not specified in their model. In addition, only the involvement of the prefrontal cortex in extraversion is discussed, although recent evidence suggests that activity associated with additional cortical regions may be related to this trait. Finally, the assumption that neurobiological mechanisms underlie or play a causal, and therefore, more fundamental role than psychological constructs in the trait is challenged.

What are the limits of physical computation? In his ‘Church’s Thesis and Principles for Mechanisms’, Turing’s student Robin Gandy proved that any machine satisfying four idealised physical ‘principles’ is equivalent to some Turing machine. Gandy’s four principles in effect define a class of computing machines (‘Gandy machines’). Our question is: What is the relationship of this class to the class of all (ideal) physical computing machines? Gandy himself suggests that the relationship is identity. We do not share this view. We (...) will point to interesting examples of (ideal) physical machines that fall outside the class of Gandy machines and compute functions that are not Turing-machine computable. (shrink)

Purpose: Studies of reactive and proactive modes of inhibitory control tend to show age-related declines and are accompanied by abnormalities in the prefrontal cortex. We explored which mode of inhibitory control would be more amenable to change and accrue greater benefits following engagement in a 4-week theater acting intervention in older adults. These gains were evaluated by performance on the AX-CPT task. We hypothesized that an increase in proactive control would relate to an increase in AY errors and a decrease (...) in BX errors. In contrast, an increase in reactive control would be associated with a decrease in AY errors, no change in AY reaction time, and an increase in BX response time. Further, we posited that an increase in behavioral proactive control would accompany greater cue versus probe activity for previously identified regions in the prefrontal cortex. In contrast, an increase in behavioral reactive control would be accompanied by greater probe activation in these identified brain areas.Materials and Methods: The participants were 179 community-dwelling adults aged 60–89 years who were on average, college-educated. Participants were pseudo-randomly assigned to either an active-experiencing acting intervention condition or the active control condition ; participant assignment was subject to time of enrollment. Participants in both groups were trained by theater-actor researchers with expertise in acting interventions. In contrast to the active control participants who attended a course on theater acting, the acting-intervention group was required to consistently deploy proactive and reactive control mechanisms. Both groups met two times/week for 75-min for 4 weeks. Participant brain-behavioral performance on the AX-CPT task was evaluated prior to and after this four-week period.Results: No intervention effects were found in favor of proactive control. Behavioral evidence in favor of reactive control was weak. Brain-related benefits to reactive control was illustrated by greater probe-activation in Brodmann areas 6 and 8, relative to controls and pre-intervention.Conclusion: We found some evidence for improvements in reactive control via brain measures, attributed to engagement in the acting intervention. (shrink)

Do the dynamics of a physical system determine what function the system computes? Except in special cases, the answer is no: it is often indeterminate what function a given physical system computes. Accordingly, care should be taken when the question ‘What does a particular neuronal system do?’ is answered by hypothesising that the system computes a particular function. The phenomenon of the indeterminacy of computation has important implications for the development of computational explanations of biological systems. Additionally, the phenomenon lends (...) some support to the idea that a single neuronal structure may perform multiple cognitive functions, each subserved by a different computation. We provide an overarching conceptual framework in order to further the philosophical debate on the nature of computational indeterminacy and computational explanation. (shrink)