An opinionated history of neuroscience, which argues that--due to the brain's complexity--neuroscientific theories have only captured partial truths, and therefore "neurophilosophy" is unlikely to be achieved.

Is color real or illusory, mind independent or mind dependent? Does seeing in color give us a true picture of external reality? The metaphysical debate over color has gone on at least since the seventeenth century. In this book, M. Chirimuuta draws on contemporary perceptual science to address these questions. Her account integrates historical philosophical debates, contemporary work in the philosophy of color, and recent findings in neuroscience and vision science to propose a novel theory of the relationship between (...) color and physical reality. -/- Chirimuuta offers an overview of philosophy’s approach to the problem of color, finds the origins of much of the familiar conception of color in Aristotelian theories of perception, and describes the assumptions that have shaped contemporary philosophy of color. She then reviews recent work in perceptual science that challenges philosophers’ accounts of color experience. Finally, she offers a pragmatic alternative whereby perceptual states are understood primarily as action-guiding interactions between a perceiver and the environment. The fact that perceptual states are shaped in idiosyncratic ways by the needs and interests of the perceiver does not render the states illusory. Colors are perceiver-dependent properties, and yet our awareness of them does not mislead us about the world. Colors force us to reconsider what we mean by accurately presenting external reality, and, as this book demonstrates, thinking about color has important consequences for the philosophy of perception and, more generally, for the philosophy of mind. (shrink)

The use of machine learning instead of traditional models in neuroscience raises significant questions about the epistemic benefits of the newer methods. I draw on the literature on model intelligibility in the philosophy of science to offer some benchmarks for the interpretability of artificial neural networks used as a predictive tool in neuroscience. Following two case studies on the use of ANN’s to model motor cortex and the visual system, I argue that the benefit of providing the scientist with understanding (...) of the brain trades off against the predictive accuracy of the models. This trade-off between prediction and understanding is better explained by a non-factivist account of scientific understanding. (shrink)

While introspective methods went out of favour with the decline of Titchener’s analytic school, many important questions concern the rehabilitation of introspection in contemporary psychology. Hatfield rightly points out that introspective methods should not be confused with analytic ones, and goes on to describe their “ineliminable role” in perceptual psychology. Here I argue that certain methodological conventions within psychophysics reflect a continued uncertainty over appropriate use of subjects’ perceptual observations and the reliability of their introspective judgements. My first claim is (...) that different psychophysical methods do not rely equally on the introspective capabilities of experimental subjects. I contrast “minimally-introspective” tasks with “introspection-heavy” ones. It is only in the latter, I argue, that introspection can be said to have a non-trivial role in the subjects’ performance. My second claim is that my rough-and-ready distinction maps onto a number of important “dichotomies” in vision science. Not coincidentally, the introspection-heavy categorisation captures many of the tasks typically considered less able to yield useful information regarding the processes underlying visual sensation. (shrink)

Colours appear to instantiate a number of structural properties: for instance, they stand in distinctive relations of similarity and difference, and admit of a fundamental distinction into unique and binary. Accounting for these structural properties is often taken to present a serious problem for physicalist theories of colour. This paper argues that a prominent attempt by Byrne and Hilbert to account for the structural properties of the colours, consistent with the claim that colours are types of surface spectral reflectance, is (...) unsuccessful. Instead, it is suggested that a better account of the structural properties of the colours is provided by a form of non-reductive physicalism about colour: a naïve realist theory of colour, according to which colours are superficial mind-independent properties. (shrink)

Reflectance realism is an important position in the philosophy of colour. This paper is an examination of David R. Hilbert’s case for there being scientific support for the theory. The specific point in question is whether colour science has shown that reflectance is recovered by the human visual system. Following a discussion of possible counter-evidence in the recent scientific literature, I make the argument that conflicting interpretations of the data on reflectance recovery are informed by different theoretical assumptions about the (...) nature of
colour, and of perception. If this is so, there cannot be neutral empirical
evidence on this point, and this does seem to undermine Hilbert’s claim for
empirical support. In the end, I suggest alternative ways of thinking about the relationship between colour ontology and empirical work on colour. (shrink)

The paper reviews the empirical evidence for highly significant variation across perceivers in hue perception and argues that color physicalism cannot accommodate this variability. Two views that can accommodate the individual differences in hue perception are considered: the self-locating property theory, according to which colors are self-locating properties, and color relationalism, according to which colors are relations to perceivers and viewing conditions. It is subsequently argued that on a plausible rendition of the two views, the self-locating theory has a slight (...) advantage over color relationalism in being truer to the phenomenology of our color experiences. (shrink)

This paper considers whether there can be any such thing as a naturalized metaphysics of color—any distillation of the commitments of perceptual science with regard to color ontology. I first make some observations about the kinds of philosophical commitments that sometimes bubble to the surface in the psychology and neuroscience of color. Unsurprisingly, because of the range of opinions expressed, an ontology of color cannot simply be read off from scientists’ definitions and theoretical statements. I next consider two alternative routes. (...) First, conceptual pluralism inspired by Mark Wilson's analysis of scientific representation. I argue that these findings leave the prospects for a naturalized color ontology rather dim. Second, I outline a naturalized epistemology of perception. I ask how the correctness and informativeness of perceptual states is understood by contemporary perceptual science. I argue that the detectionist ideal of correspondence should be replaced by the pragmatic ideal of usefulness. I argue that this result has significant implications for the metaphysics of color. (shrink)

This paper addresses concerns raised recently by Datteri (Biol Philos 24:301–324, 2009) and Craver (Philos Sci 77(5):840–851, 2010) about the use of brain-extending prosthetics in experimental neuroscience. Since the operation of the implant induces plastic changes in neural circuits, it is reasonable to worry that operational knowledge of the hybrid system will not be an accurate basis for generalisation when modelling the unextended brain. I argue, however, that Datteri’s no-plasticity constraint unwittingly rules out numerous experimental paradigms in behavioural and systems (...) neuroscience which also elicit neural plasticity. Furthermore, I propose that Datteri and Craver’s arguments concerning the limitations of prosthetic modelling in basic neuroscience, as opposed to neuroengineering, rests on too narrow a view of the ways models in neuroscience should be evaluated, and that a more pluralist approach is needed. I distinguish organisational validity of models from mechanistic validity. I argue that while prosthetic models may be deficient in the latter of these explanatory virtues because of neuroplasticity, they excel in the former since organisational validity tracks the extent to which a model captures coding principles that are invariant with plasticity. Changing the brain, I conclude, is one viable route towards explaining the brain. (shrink)

This paper considers whether there can be any such thing as a naturalized metaphysics of color—any distillation of the commitments of perceptual science with regard to color ontology. I first make some observations about the kinds of philosophical commitments that sometimes bubble to the surface in the psychology and neuroscience of color. Unsurprisingly, because of the range of opinions expressed, an ontology of color cannot simply be read off from scientists’ definitions and theoretical statements. I next consider two alternative routes. (...) First, conceptual pluralism inspired by Mark Wilson's analysis of scientific representation. I argue that these findings leave the prospects for a naturalized color ontology rather dim. Second, I outline a naturalized epistemology of perception. I ask how the correctness and informativeness of perceptual states is understood by contemporary perceptual science. I argue that the detectionist ideal of correspondence should be replaced by the pragmatic ideal of usefulness. I argue that this result has significant implications for the metaphysics of color. (shrink)

Data about perceptual variation motivate the ecumenicist view that distinct color representations are mutually compatible. On the other hand, data about agreement and disagreement motivate making distinct color representations mutually incompatible. Prima facie, these desiderata appear to conflict. I’ll lay out and assess two strategies for managing the conflict—color relationalism, and the self-locating property theory of color—with the aim of deciding how best to have your cake and eat it, too.

This paper examines the dispute between Burge and McDowell over methodology in the philosophy of perception. Burge (2005, 2011) has argued that the disjunctivism posited by naive perceptual realists is incompatible with the results of current perceptual science, while McDowell (2010, 2013) defends his disjunctivism by claiming an autonomous field of enquiry for perceptual epistemology, one that does not employ the classificatory schemes of the science. Here it is argued that the crucial point at issue in the dispute is Burge’s (...) acceptance, and McDowell’s rejection, of the ‘Cartesian idealization’ of mind as a self-contained system. Burge’s case against disjunctivism rests on the assumption of a clearly demarcated boundary between mind and world, a picture of the mind that McDowell’s philosophy reacts against. This boundary is required for scientific, causal explanations of perceptual processing because it is a simplifying assumption that helps present scientists with a clearly demarcated object of investigation. Concurring with McDowell, I conclude that philosophers need not carve up their objects of investigation in the same way. (shrink)

Mazviita Chirimuuta proposes a new “adverbialist” ontology of color. I argue that ontological disputes in the philosophy of color are uniformly terminological. Chirimuuta's proposal too is a terminological variant on others, though it has some hortatory value in directing attention to aspects of color science that have hitherto been neglected. On a side note, I also take issue with Chirimuuta's laudatory take on early modern theories of color.

In this article I examine the perceptual metaphor at the heart of perspectivism, discussing three elements: partiality, interestedness, and interaction. I argue that perspectivists should drop the visual metaphor in favor of a haptic one. Because the sense of touch requires contact and purposeful exploration on the part of the perceiver, it is obvious that with touch one apprehends an extradermal reality in virtue of and not in spite of its interactive and interested nature. By analogy, perspectivists should investigate the (...) thesis that scientific representations inform us about the natural world in virtue of their interactive and interested qualities. (shrink)

In a recent paper, Kaplan (Synthese 183:339–373, 2011) takes up the task of extending Craver’s (Explaining the brain, 2007) mechanistic account of explanation in neuroscience to the new territory of computational neuroscience. He presents the model to mechanism mapping (3M) criterion as a condition for a model’s explanatory adequacy. This mechanistic approach is intended to replace earlier accounts which posited a level of computational analysis conceived as distinct and autonomous from underlying mechanistic details. In this paper I discuss work in (...) computational neuroscience that creates difficulties for the mechanist project. Carandini and Heeger (Nat Rev Neurosci 13:51–62, 2012) propose that many neural response properties can be understood in terms of canonical neural computations. These are “standard computational modules that apply the same fundamental operations in a variety of contexts.” Importantly, these computations can have numerous biophysical realisations, and so straightforward examination of the mechanisms underlying these computations carries little explanatory weight. Through a comparison between this modelling approach and minimal models in other branches of science, I argue that computational neuroscience frequently employs a distinct explanatory style, namely, efficient coding explanation. Such explanations cannot be assimilated into the mechanistic framework but do bear interesting similarities with evolutionary and optimality explanations elsewhere in biology. (shrink)

This article examines three candidate cases of non-causal explanation in computational neuroscience. I argue that there are instances of efficient coding explanation that are strongly analogous to examples of non-causal explanation in physics and biology, as presented by Batterman, Woodward, and Lange. By integrating Lange’s and Woodward’s accounts, I offer a new way to elucidate the distinction between causal and non-causal explanation, and to address concerns about the explanatory sufficiency of non-mechanistic models in neuroscience. I also use this framework to (...) shed light on the dispute over the interpretation of dynamical models of the brain. _1_ Introduction _1.1_ Efficient coding explanation in computational neuroscience _1.2_ Defining non-causal explanation _2_ Case I: Hybrid Computation _3_ Case II: The Gabor Model Revisited _4_ Case III: A Dynamical Model of Prefrontal Cortex _4.1_ A new explanation of context-dependent computation _4.2_ Causal or non-causal? _5_ Causal and Non-causal: Does the Difference Matter? (shrink)

Recent work in philosophy of science has shown how the challenges posed by extremely complex systems require that scientists employ a range of modelling strategies, leading to partial perspectives that make apparently conflicting claims about the target (Mitchell 2009b, Longino 2013). The brain is of course extremely complex, and the same arguments apply here. In this paper I present a variety of perspectivism called _haptic realism_. This account foregrounds the process by which the instrumental goals of neuroscience shape the way (...) that objects of investigation are probed experimentally and conceptualised through modelling. Because such models do not aim to represent their targets exactly as they are, but in ways that are most useful for the investigators, the models should not be interpreted as literal descriptions of neural systems. Scientific realism traditionally involves a semantic commitment to interpreting theories and models as literal descriptions of human-independent nature. Haptic realism makes a significant departure from this tradition. Haptic realism also calls us to reassess the ontological commitments and knowledge claims of neuroscientific models and theories. (shrink)

The concept of the receptive field, first articulated by Hartline, is central to visual neuroscience. The receptive field of a neuron encompasses the spatial and temporal properties of stimuli that activate the neuron, and, as Hubel and Wiesel conceived of it, a neuron’s receptive field is static. This makes it possible to build models of neural circuits and to build up more complex receptive fields out of simpler ones. Recent work in visual neurophysiology is providing evidence that the classical receptive (...) field is an inaccurate picture. The receptive field seems to be a dynamic feature of the neuron. In particular, the receptive field of neurons in V1 seems to be dependent on the properties of the stimulus. In this paper, we review the history of the concept of the receptive field and the problematic data. We then consider a number of possible theoretical responses to these data. (shrink)

What is colour vision for? In the popular imagination colour vision is for “seeing the colours” — adding hue to the achromatic world of shape, depth and motion. On this view colour vision plays little more than an ornamental role, lending glamour to an otherwise monochrome world. This idea has guided much theorising about colour within vision science and philosophy. However, we argue that a broader approach is needed. Recent research in the psychology of colour demonstrates that colour vision is (...) integral to a variety of visual processes, helping us to perform many types of visual tasks. We discuss some of this research and consider its implications for philosophical theories of colour. (shrink)

Objections to the computational theory of cognition, inspired by twentieth century phenomenology, have tended to fixate on the embodiment and embeddedness of intelligence. In this paper I reconstruct a line of argument that focusses primarily on the abstract nature of scientific models, of which computational models of the brain are one sort. I observe that the critique of scientific abstraction was rather commonplace in the philosophy of the 1920s and 30s and that attention to it aids the reading of The (...) Organism ([1934] 1939) by the neurologist Kurt Goldstein. With this background in place, we see that some brief but spirited criticisms of cybernetics by two later thinkers much influenced by Goldstein, Georges Canguilhem (1963) and Maurice Merleau-Ponty (1961), show continuity with the earlier discussions of abstraction in science. (shrink)

This article examines the mutual influence between Ernst Cassirer and his cousin, the neurologist Kurt Goldstein. For both Cassirer and Goldstein, views on the nature of human cognition were fundamental to their understanding of scientific knowledge, and these were informed by both philosophical theorizing and empirical research on pathologies of the nervous system. Following Cassirer, and in agreement with the physicalism of the Vienna Circle, Goldstein held that the physical sciences had progressed by arriving at abstract, mathematical representations to take (...) the place of qualitative characterizations of observable reality. In tension with physicalism, Goldstein was not sanguine about the fruitfulness of the abstractive approach in biology. He proposed that biology must adhere to its own sui generis methods of observation and experimentation in order to obtain knowledge of the “natures” of living organisms. I argue that there is a parallel with Cassirer’s assertion of the differences between physical and cultural sciences, underwritten by the deployment of varying symbolic functions. I also propose that the neurological writings of Goldstein are an important backdrop to Cassirer’s positive evaluation of abstract thought, in contrast to the pessimism regarding a worldview dominated by scientific abstractions expressed by philosophers such as Bergson, Whitehead, and Husserl. (shrink)

In this article, I discuss the concept of robustness in neuroscience. Various mechanisms for making systems robust have been discussed across biology and neuroscience. Many of these notions originate from engineering. I argue that concepts borrowed from engineering aid neuroscientists in operationalizing robustness, formulating hypotheses about mechanisms for robustness, and quantifying robustness. Furthermore, I argue that the significant disanalogies between brains and engineered artifacts raise important questions about the applicability of the engineering framework. I argue that the use of such (...) concepts should be understood as a kind of simplifying idealization. (shrink)

The victory of realism over idealism at the start of the twentieth century, and of scientific realism over logical empiricism and pragmatism in the mid twentieth century, is a striking phenomenon that calls for historical explanation. In this paper I propose an externalist account, looking at the social and political reasons why realism became attractive, rather than considering the internal factors–the merits of the arguments in favour of realism. I look at the agenda of Roy Wood Sellars’ critical realism which (...) was not narrowly theoretical, but very much related to his concerns for the development of American society post WW1, as expressed in The Next Step in Democracy (1916b) and The Next Step in Religion (1918). I discuss the significance of technocracy in America – not only the increasing influence of scientists and engineers in government, but also the diffusion of the view that social issues are best addressed by scientific, technical means. Counter-cultural critics of technocracy, such as Roszak (1969) claimed that a “scientific world-view” provided an “ideology” for this system of governance. We will see that RW Sellars was explicitly involved in the task of building a scientific world-view, but with political goals that were probably not realised by the post-war establishment. (shrink)

This paper takes an integrated history and philosophy of science approach to the topic of "simplicity out of complexity". The reflex theory was a framework within early twentieth century psychology and neuroscience which aimed to decompose complex behaviours and neural responses into simple reflexes. It was controversial in its time, and did not live up to its own theoretical and empirical ambitions. Examination of this episode poses important questions about the limitations of simplifying strategies, and the relationship between simplification and (...) the engineering approach to biology. (shrink)

This chapter surveys Ernst CassirerCassirer, Ernst’s responses to the vitalist and holist/organicist movements in biology during the early decades of the twentieth century. I argue that examination of the combination of CassirerCassirer, Ernst’s enthusiasm for holism, and rejection of vitalism, puts into relief many themes and preoccupations that are consistent across CassirerCassirer, Ernst’s philosophical career, and aids the interpretation of his philosophy of symbolic forms. I propose that it is useful to read the third volume of the Philosophy of Symbolic (...) Forms as a critical response to anti-rationalistic tendencies in the philosophy of Henri BergsonBergson, Henri, and other proponents of Lebensphilosophie. Hence the availability of holism, as a purportedly less obscure alternative to vitalism, suits this broader agenda. At the same time, CassirerCassirer, Ernst’s acceptance of holism depends on a commitment to the autonomy of biology which is at odds with the physicalism of the Vienna Circle, but consistent with HeideggerHeidegger, Martin’s favourable response to holism in comparison with vitalism. Yet, in the end we are left with an interpretative puzzle about how CassirerCassirer, Ernst proposes to avoid the encroachment of physicalism into theorising in the biological and human sciences while maintaining his view that progress in science is the result of increasing quantification. (shrink)

John Hughlings Jackson is a major figure at the origins of neurology and neuroscience in Britain. Alongside his contributions to clinical medicine, he left a large corpus of writing on localisation of function in the nervous system and other theoretical topics. In this paper I focus on Jackson’s “doctrine of concomitance”—his parallelist theory of the mind-brain relationship. I argue that the doctrine can be given both an ontological and a causal interpretation, and that the causal aspect of the doctrine is (...) especially significant for Jackson and his contemporaries. I interpret Jackson’s engagement with the metaphysics of mind as an instance of what I call meta-science—the deployment by scientists of metaphysical positions and arguments which help streamline empirical investigations by bracketing off unanswerable questions and focussing attention on matters amenable to the current tools of experimental research. (shrink)

This edited volume explores the different and seminal ways colours matter to philosophy. Each chapter provides an insightful analysis of one or more cases in which colours raise philosophical problems in different areas and periods of philosophy. This historically informed discussion examines both logical and linguistic aspects, covering such areas as the mind, aesthetics and the foundations of mathematics. The international contributors look at traditional epistemological and metaphysical issues on the subjectivity and objectivity of colours. In addition, they also assess (...) phenomenological problems typical of the continental tradition and contemporary problems in the philosophy of mind. The chapters include coverage of such topics as Newton’s and Goethe’s theory of light and colours, how primary qualities are qualitative and colours are primary, explaining colour phenomenology, and colour in cognition, language and philosophy. "This book beautifully prepares the ground for the next steps in our research on and philosophising about colour" Daniel D. Hutto "It is not an overstatement to say that How Colours to Philosophy is a ground breaking publication" Mazviita Chirimuuta "Anyone interested in philosophical issues about color will find it highly stimulating." Martine Nida-Rümelin "The high quality papers included in this anthology succeed admirably in enriching current philosophical thinking about colour” Erik Myin “This is certainly the most complete collection of philosophical essays on colours ever published” André Leclerc “All in all this collections represents a new milestone in the ongoing philosophical debate on colours and colour expressions” Ingolf Max. (shrink)

M. Chirimuuta's Outside Color is a rich and lovely book. I enjoyed reading it and benefitted from reflecting on its provocative ideas. I begin by briefly placing the book's principal thesis in its historical context, and I go on to reflect on two objections that might be lodged against this thesis.

Replies to commentaries on "Can experiences be rational?", forthcoming in Analytic Philosophy.

Causal approaches to explanation often assume that a model explains by describing features that make a difference regarding the phenomenon. Chirimuuta claims that this idea can be also used to understand non-causal explanation in computational neuroscience. She argues that mathematical principles that figure in efficient coding explanations are non-causal difference-makers. Although these principles cannot be causally altered, efficient coding models can be used to show how would the phenomenon change if the principles were modified in counterpossible situations. The problem (...) is that efficient coding models also involve difference-makers that, prima facie, cannot be characterized as non-causal in this sense. Mathematical principles always involve variables which have counterfactual relations between them. However, we cannot simply assume that these difference-makers are causal. They can also be found in paradigmatic non-causal explanations and therefore they must be characterized as non-causal in some sense. I argue that, despite appearances, Chirimuuta's view can be applied to these cases. The mentioned counterfactual relations presuppose the counterpossible conditionals that describe the modification of a relevant mathematical principle. If these conditionals are the hallmark of non-causal relations, then Chirimuuta’s criterion has the desired implication that variables in mathematical principles are non-causal difference-makers. (shrink)

Chirimuuta's view and my own are as close as they are because we both take two quite controversial stances: pragmatism as against a correspondence-based view of perceptual success, and adverbialism as against a representational view of color experience. Unsurprisingly, of course, we do not understand these positions in precisely the same ways. In these comments I would like to see if I can persuade Chirimuuta to take two steps in my direction. The first step is to broaden her (...) pragmatism so that it treats truth and accuracy in similar ways, for belief as well as perception, and for all sorts of properties. The second is to narrow her adverbialism so that it applies only to the fine-grained appearances of the colors, and leaves aside the coarse-grained colors themselves, which seem to remain as constant properties of objects, even as their appearances change. (shrink)

I raise some objections to the theory presented in *Outside Color*.

Although it has been argued that mechanistic explanation is compatible with abstraction, there are still doubts about whether mechanism can account for the explanatory power of significant abstract models in computational neuroscience. Chirimuuta has recently claimed that models describing canonical neural computations must be evaluated using a non-mechanistic framework. I defend two claims regarding these models. First, I argue that their prevailing neurocognitive interpretation is mechanistic. Additionally, a criterion recently proposed by Levy and Bechtel to legitimize mechanistic abstract models, (...) and also a criterion proposed by Chirimuuta herself aimed to distinguish between causal and non-causal explanation, can be employed to show why these models are explanatory only under this interpretation. Second, I argue that mechanism is able to account for the special epistemic achievement implied by CNC models. Canonical neural components contribute to an integrated understanding of different cognitive functions. They make it possible for us to explain these functions by describing different mechanisms constituted by common basic components arranged in different ways. (shrink)

An argument recently proposed by Chirimuuta seems to motivate the rejection of the claims that every neurocognitive phenomenon can have a mechanistic explanation and that every neurocognitive explanation is mechanistic. In this paper, I focus on efficient coding models involving the so-called “canonical neural computations” and argue that although they imply some form of pluralism, they are compatible with two mechanistic generalizations: all neurocognitive explanations are mechanistic; and all neurocognitive phenomena that have an explanation have a purely mechanistic explanation.