It is widely held that a successful theory of the mind will be neuroscientific. In this paper we ask, first, what this claim means, and, secondly, whether it is true. In answer to the first question, we argue that the claim is ambiguous between two views--one plausible but unsubstantive, and one substantive but highly controversial. In answer to the second question, we argue that neither the evidence from neuroscience itself nor from other scientific and philosophical considerations supports the controversial view.

Block explains the conflation of phenomenal consciousness and access consciousness by appeal to the ambiguity of the term “consciousness.” However, the nature of ambiguity is not at all clear, and the thesis that “consciousness” is ambiguous between phenomenal consciousness and access consciousness is far from obvious. Moreover, the conflation can be explained without supposing that the term is ambiguous. Block's argument can thus be strengthened by avoiding controversial issues in the semantics of “consciousness.”.

Quine’s eliminativist theory has largely been ignored by the philosophical community. This is highly regrettable because Quine’s theory is probably close to correct. Now, the probable correctness of Quine’s theory has an important consequence since, according to the theory, there are no mental entities (events, states, phenomena, properties, etc.) nor do such entities play any role in a scientific account of the relevant phenomena. But the hundreds or probably thousands of publications that deal with issues such as mental causation, the (...) nature of qualia, supervenience of the mental, or multiple realizability, presume the existence of, or at least attribute a positive role to, mental entities. The probable correctness of Quine’s theory therefore suggests that all these publications are worthless and reading them is a waste of time just as reading studies about how crystal spheres can move planets is considered nowadays a waste of time. (shrink)

We argue in this paper that so-called new wave reductionism fails to capture the nature of the interlevel relations between psychology and neuroscience. Bickle (1995, Psychoneural reduction of the genuinely cognitive: some accomplished facts, Philosophical Psychology, 8, 265-285; 1998, Psychoneural reduction: the new wave, Cambridge, MA: MIT Press) has claimed that a (bottom-up) reduction of the psychological concepts of learning and memory to the concepts of neuroscience has in fact already been accomplished. An investigation of current research on the phenomenon (...) of long-term potentiation reveals that this claim overstates the facts. Both the psychological and the neural concepts involved have not yet stabilized and face further correction under the influence of both bottom-up and top-down selection pressures. In addition, psychological concepts often refer to functions, and functions are indispensable and irreducible. Function ascriptions pick out objective patterns involving historical factors and distal goals. This view of functions implies that psychological facts cannot be simply read off from the neurophysiological facts. Although psychological theorizing is constrained by neurophysiology (and vice versa), psychology remains distinct at least to some degree. (shrink)

In this paper, reduction and its pragmatics are discussed in light of the development in computer science of languages to describe processes. The design of higher-level description languages within computer science has had the aim of allowing for description of the dynamics of processes in the (physical) world on a higher level avoiding all (physical) details of these processes. The higher description levels developed have dramatically increased the complexity of applications that came within reach. The pragmatic attitude of a (scientific) (...) practitioner in this area has become inherently anti-reductionist, but based on well-established reduction relations. The paper discusses how this perspective can be related to reduction in general, and to other domains where description of dynamics plays a main role, in particular, biological and cognitive domains. (shrink)

Time series of macroscopic quantities that are aggregates of microscopic quantities, with unknown one‐many relations between macroscopic and microscopic states, are common in applied sciences, from economics to climate studies. When such time series of macroscopic quantities are claimed to be causal, the causal relations postulated are representable by a directed acyclic graph and associated probability distribution—sometimes called a dynamical Bayes net. Causal interpretations of such series imply claims that hypothetical manipulations of macroscopic variables have unambiguous effects on variables “downstream” (...) in the graph, and such macroscopic variables may be predictably produced or altered even while particular microstates are not. This paper argues that such causal time series of macroscopic aggregates of microscopic processes are the appropriate model for mental causation. (shrink)

Most scholars who presently deal with the Mind-Body problem consider themselves monist materialists. Nevertheless, many of them also assume that there exist (in some sense of existence) mental entities. But since these two positions do not harmonize quite well, the literature is full of discussions about how to reconcile the positions. In this paper, I will defend a materialist theory that avoids all these problems by completely rejecting the existence of mental entities. This is Quine's repudiation theory. According to the (...) theory, there are no mental entities, and the behavioral or physiological phenomena that have been attributed to mental entities, or that point to the existence of these entities, are exclusively caused by physiological factors. To be sure, several objections have been raised to materialist theories that do not assign some role to mental entities. But we will see that Quine is able to give convincing replies to these objections. (shrink)

The need for representations and computations over their contents in psychological explanations is often cited as both the mark of the genuinely cognitive and a source of skepticism about the reducibility of cognitive theories to neuroscience. A generic version of this anti-reductionist argument is rejected in this paper as unsound, since (i) current thinking about associative learning emphasizes the need for cognitivist resources in theories adequate to explain even the simplest form of this phenomena (Pavlovian conditioning), and yet (ii) the (...) most widely accepted recent theory of associative learning, which utilizes cognitivist resources, has already been reduced to a purely neurophysiological account. Psychoneural reduction of genuinely cognitivist theories is thus already an accomplished scientific fact, despite pronouncements by anti-reductionists about its conceptual impossibility or empirical implausibility. In addition, the specific form of reduction involved in this case (“combinatorial” reduction) provides a promising model for further cognitivist-to-neuroscience theory reductions. (shrink)

Commonsense psychology and cognitive science both regularly assume the existence of representational states. I propose a naturalistic theory of representation sufficient to meet the pretheoretical constraints of a "folk theory of representation", constraints including the capacities for accuracy and inaccuracy, selectivity of proper objects of representation, perspective, articulation, and "efficacy" or content-determined functionality. The proposed model states that a representing device is a device which changes state when information is received over multiple information channels originating at a single source. The (...) changed state of a representing device is a representation. The unitary information source which would give rise to the information impinging on the representing device, and hence, give rise to the representation, is the content of the representation. The model meets the pretheoretic constraints, and also conforms to available neurobiological data for two invertebrate species. (shrink)

Could anything provide a philosophically convincing mark of the mental in simple organisms (Lloyd 1984)? Individual organisms’ capacities to modify behavior adaptively as a result of past encounters with the environment might mark the first step in the phylogeny of minds. The simplest examples of mental representation are likely to be found in the simplest forms of animal learning.The most scientifically rigorous test case of “bottom- up” strategies in cognitive neuroscience is provided by current studies of the cellular and molecular (...) biology of associative learning in higher invertebrates, but particularly gastropod molluscs, snails or slugs (Quinn 1984). For the relevant neurobiological research community (Farley and Alkon 1985; Hawkins, Clark, and Kandel 1986), “Bottom-up” does not just mean letting one’s study of the properties of the nervous system control one’s analyses of animal behavior or cognition. (shrink)

Psychoneural reduction has been debated extensively in the philosophy of neuroscience. In this article I will evaluate metascientific approaches that claim direct molecular and cellular explanations of cognitive functions. I will initially consider the issues involved in linking cellular properties to behaviour from the general perspective of neural circuits. These circuits that integrate the molecular and cellular components underlying cognition and behaviour, making consideration of circuit properties relevant to reductionist debates. I will then apply this general perspective to specific systems (...) where psychoneural reduction has been claimed, namely hippocampal long-term potentiation and the Aplysia gill-withdrawal reflex. (shrink)

According to the reward-prediction error hypothesis of dopamine, the phasic activity of dopaminergic neurons in the midbrain signals a discrepancy between the predicted and currently experienced reward of a particular event. It can be claimed that this hypothesis is deep, elegant and beautiful, representing one of the largest successes of computational neuroscience. This paper examines this claim, making two contributions to existing literature. First, it draws a comprehensive historical account of the main steps that led to the formulation and subsequent (...) success of the RPEH. Second, in light of this historical account, it explains in which sense the RPEH is explanatory and under which conditions it can be justifiably deemed deeper than the incentive salience hypothesis of dopamine, which is arguably the most prominent contemporary alternative to the RPEH. (shrink)

Quine’s eliminativist theory has largely been ignored by the philosophical community. This is highly regrettable because Quine’s theory is probably close to correct. Now, the probable correctness of Quine’s theory has an important consequence since, according to the theory, there are no mental entities (events, states, phenomena, properties, etc.) nor do such entities play any role in a scientific account of the relevant phenomena. But the hundreds or probably thousands of publications that deal with issues such as mental causation, the (...) nature of qualia, supervenience of the mental, or multiple realizability, presume the existence of, or at least attribute a positive role to, mental entities. The probable correctness of Quine’s theory therefore suggests that all these publications are worthless and reading them is a waste of time just as reading studies about how crystal spheres can move planets is considered nowadays a waste of time. (shrink)

Recently, many philosophers have been inclined to ascribe mentality to animals on the main grounds that they possess certain complex computational abilities. In this paper I contend that this view is misleading, since it wrongly assumes that those computational abilities demand a psychological explanation. On the contrary, they can be just characterised from a computational level of explanation, which picks up a domain of computation and information processing that is common to many computing systems but is autonomous from the domain (...) of psychology. Thus, I propose that it is possible to conceive insects and other animals as mere computing agents, without having any commitment to ascribe mentality to them. I conclude by sketching a proposal about how to draw the line between mere computing and genuine mentality. (shrink)

The ArgumentIn different contexts, beginning with different concerns, Pavlov, James, and Freud tried to achieve a neurophysiological explanation of mind, and suffered defeat. James and Freud acknowledged the defeat and attempted, in radically different ways, to construct an interim psychology, hoping that neural explanation would be achieved in the future. Pavlov came to the effort in his fifties, after decades of research that took for granted a sharp separation between neurophysiology and psychology. He changed his mind as he noticed the (...) descent of his discipline from study of whole-body and organ functions to concentration on the neuron and the molecule. Pavlov thought to save the discipline from chaos by providing laws of “higher nervous activity” to serve as an organizing framework. Hence his stubborn refusal to acknowledge the obvious errors in his supposed neural explanation of conditioned reflexes. The Russian context of ideological division and extreme social conflict reinforced the unwitting retreat of Pavlov and his school into a scientistic counterculture, while claiming to be developing the ultimate neural explanation of the mind. In countries of less extreme conflicts, classical conditioning continued to be a focal point of discord between psychologists who accept the inevitability of mentalist concepts and neuroscientists who insist that they must be avoided. In any context, neural explanation of mental phenomena has been a project that is impossible to avoid and impossible to accomplish. (shrink)