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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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 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 and Maurice Merleau-Ponty, show continuity with the earlier discussions of abstraction in science. (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)

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 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)

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)

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)

Colour Relationalism asserts that colours are non-intrinsic or inherently relational properties of objects, properties that depend not only on a target object but in addition on some relation that object bears to other objects. The most powerful argument for Relationalism infers the inherently relational character of colour from cases in which one’s experience of a colour contextually depends on one’s experience of other colours. Experienced colour layering—say looking at grass through a tinted window and experiencing opaque green through transparent grey—demands (...) a contextual interdependency of one’s experience of one of these colours on one’s experience of the other. However, most if not all colour ontologies, and core perceptual experiential mechanisms like acquaintance and representation, can accommodate colour layering. It follows that experienced colour layering is consistent with colours being non-relational—this contextual interdependency of colours does not entail the constitutive dependency of one colour on the other. I utilize colour layering to examine the inference from the contextual to the constitutive interdependency of colours as it is employed in a well-known argument for Relationalism. I conclude that our justification for Relationalism is far weaker than Relationalists suggest. I first introduce readers to colour layering, then to Relationalism, and following this focus on the intersection of these topics. (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)

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)

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)