The study of signed languages has inspired scientific' speculation regarding foundations of human language. Relationships between the acquisition of sign language in apes and man are discounted on logical grounds. Evidence from the differential hreakdown of sign language and manual pantomime places limits on the degree of overlap between language and nonlanguage motor systems. Evidence from functional magnetic resonance imaging reveals neural areas of convergence and divergence underlying signed and spoken languages.

We propose that to understand the biological and neurophysiological processes that give rise to human mental phenomena it is necessary to consider them as behavioral relational phenomena. In particular, we propose that: a) these phenomena take place in the relational manner of living that human language constitutes, and b) that they arise as recursive operations in such behavioral domain. Accordingly, we maintain that these phenomena do not take place in the brain, nor are they the result of a (...) unique operation of a human brain, but arise with the participation of the brain as it generates the behavioral relational dynamics that constitutes language. (shrink)

In this article I discuss Daniel Dennett’s view of the role of natural language in the evolution of the human mind. In contrast with defenders of the Language of Thought Hypothesis, Dennett claims that natural language is an evolved tool for communication, originating in behavioural habits of which users were initially not aware. Once in place, such habits changed access to information in human brains and were crucial for the evolution of human consciousness. I assess Dennett’s approach (...) from the viewpoint of philosophy of mind and language and consider its ontological implications. I contrast Dennett’s views with the universalist and internalist claims of Jerry Fodor and Noam Chomsky and show how, by appealing to memes and cultural evolution, Dennett resists such claims. I then analyse how this picture goes together with a deflationary view of consciousness. I end by pointing out that although Dennett’s global picture seems to point towards a pluralistic ontology, he himself refrains from taking such a step. (shrink)

The purpose of this paper is to articulate the central issues and controversies that currently dominate the study of the relationship between language and brain and, as a result, we will attempt to fundamentally redefine the way language is viewed by the neurosciences by recasting traditional linguistic definitions of human language. In order to achieve these goals, we will take into account important aspects of neuroanatomy, neurophysiology, and neurofunctionality, the role of imaging technologies in formulating specific (...) questions for testing hypotheses about language and the brain, including what these technologies can and cannot do, and a discussion of the myths about the neurological representations of human language. Our conclusions will take into account evidence on aphasias and medial temporal lobe damage that directly affects the way we understand the relationship between language, brain, and memory. (shrink)

The present response elucidates, elaborates, and defends the main thesis advanced in the target article: namely, that natural-language sentences play a constitutive role in some human thought processes, and that they are responsible for some of the distinctive flexibility of human thinking, serving to integrate the outputs of a variety of conceptual modules. Section R1 clarifies and elaborates this main thesis, responding to a number of objections and misunderstandings. Section R2 considers three contrasting accounts of the mechanism of intermodular (...) integration. Section R3 discusses objections to some of the empirical data supporting my main thesis. Section R4 criticizes some competing theories of the role of language in cognition. And section R5 considers some proposed supplementary cognitive roles that language might play. (shrink)

Poetics : principles of lingual poiesis -- The analytic circle : the lingual creation of a true world -- Speculation : aspects of a poetics of thought -- Cognition : metanoia is an anagram of anatomie -- Epilogue: The whole truth and nothing, But the truth!

Many philosophers as well as many biological psychologists think that recent experiments in neuropsychology have definitively discredited any notion of freedom of the will. I argue that the arguments mounted against the concept of freedom of the will in the name of natural causal determinism are valuable but not new, and that they leave intact a concept of freedom of the will that is compatible with causal determinism. After explaining this concept, I argue that it is interestingly related to our (...) use of the first person pronoun “I.” I discuss three examples of our use of “I” in thought and language and submit a few questions I would like neuropsychologists to answer concerning the brain processes that might underlie those uses. I suggest answering these questions would support the compatibilist notion of freedom of the will I have offered in part 1 of the paper. (shrink)

Exploring the relevance of biological discovery to philosophical topics such as perception, freedom, determinism, and ethical values, J.Z. Young's provocative book illuminates the significant links between these philosophical concepts and recent developments in biology and the neurosciences. In clear-cut language, Young describes the brain and its functions, examining questions concerning physical makeup versus "real" self, the awareness of our moral sense, and how human consciousness differs from that of other animals. He approaches perception not as a passive process (...) but as an active search for information, suggesting that human knowledge develops from a special process--essential to all organisms--of gathering information for survival. (shrink)

Selected contributions to the symposium on "Mirror neurons and the evolution of brain and language" held on July 5-8, 2000 in Delmenhorst, Germany.

The structure of everyday language implies that knowledge is an object. Like an object, it can be acquired, lost, stored, retrieved, and used. Anything that might be done to an external object could also be done to knowledge. Using concepts from the emerging field of biofunctional cognition, this paper discusses an alternative to the everyday-language framework of knowledge. The central idea is that the biological subsystems that comprise the physical nervous system have the capacity to create in us (...) a live, as opposed to pre-recorded, experience that might be described as intuitive self-awareness. In its various manifestations, this ongoing intuitive self-awareness is what we recognize as the knowledge inside us. There is no storage of knowledge of any kind. Intuitive self-awareness is in a perpetual state of re-creation and change. It serves as a private language with which the individual interacts directly with the subsystems of his/her own nervous system. This is the primary function of intuitive self-awareness &emdash; serving as the vehicle for the private communication between the individual and the individual's nervous system. Intuitive self-awareness has also come to serve, through evolutionary symbolic adaptation, as the foundation for the public language that the individual uses to communicate with other individuals. This is the secondary function of the intuitive self-awareness &emdash; to serve as the vehicle for public communication within social groups in which the individual lives. In this function, intuitive self-awareness externalizes to manifest itself in the form of an indirect code system for public communication. The nonsymbolic and symbolic forms of knowledge enable the organism to extend its internal world to encompass the external world in both its totality and detail. (shrink)

The article defines the function of the visual brain as a search for constancies with the aim of obtaining knowledge about the world, and claims that it is applicable with equal vigour to the function of art. We define the general function of art as a search for the constant, lasting, essential, and enduring features of objects, surfaces, faces, situations, and so on, which allows us not only to acquire knowledge about the particular object, or face, or condition represented (...) on the canvas but to generalize, based on that, about many other objects and thus acquire knowledge about a wide category of objects or faces. In this process, the artist must also be selective and invest his work with attributes that are essential, discarding much that is superfluous. It follows that one of the functions of art is an extension of the major function of the visual brain. Indeed, philosophers and artists often spoke about art in terms that are extremely similar to the language that a modern neurobiologist of vision would use, except that he would substitute the word ‘brain’ for the word ‘artist.’. (shrink)

Morin argues that ideographies are limited because graphic codes lack a capacity for proliferating standardization. However, natural graphic systems display rich standardization and can be placed in sequences using complex combinatorial structures. In contrast, ideographies are not natural, and their limitations lie in their attempts to artificially force a graphic system to behave like a writing system.

Scholars have long been captivated by the parallels between birdsong and human speech and language. In this book, leading scholars draw on the latest research to explore what birdsong can tell us about the biology of human speech and language and the consequences for evolutionary biology. They examine the cognitive and neural similarities between birdsong learning and speech and language acquisition, considering vocal imitation, auditory learning, an early vocalization phase, the structural properties of birdsong and human (...) class='Hi'>language, and the striking similarities between the neural organization of learning and vocal production in birdsong and human speech. After outlining the basic issues involved in the study of both language and evolution, the contributors compare birdsong and language in terms of acquisition, recursion, and core structural properties, and then examine the neurobiology of song and speech, genomic factors, and the emergence and evolution of language. Contributors: Hermann Ackermann, Gabriël J.L. Beckers, Robert C. Berwick, Johan J. Bolhuis, Noam Chomsky, Frank Eisner, Martin Everaert, Michale S. Fee, Olga Fehér, Simon E. Fisher, W. Tecumseh Fitch, Jonathan B. Fritz, Sharon M.H. Gobes, Riny Huijbregts, Eric Jarvis, Robert Lachlan, Ann Law, Michael A. Long, Gary F. Marcus, Carolyn McGettigan, Daniel Mietchen, Richard Mooney, Sanne Moorman, Kazuo Okanoya, Christophe Pallier, Irene M. Pepperberg, Jonathan F. Prather, Franck Ramus, Eric Reuland, Constance Scharff, Sophie K. Scott, Neil Smith, Ofer Tchernichovski, Carel ten Cate, Christopher K. Thompson, Frank Wijnen, Moira Yip, Wolfram Ziegler, Willem Zuidema. (shrink)

Many researchers consider language to be definitionally unique to humans. However, increasing evidence suggests that language emerged via a series of adaptations to neural systems supporting earlier capacities for visuomotor integration and manual action. This paper reviews comparative neuroscience evidence for the evolutionary progression of these adaptations. An outstanding question is how to mechanistically explain the emergence of new capacities from pre-existing circuitry. One possibility is that human brains may have undergone selection for greater plasticity, reducing the extent (...) to which brain organization is hard-wired and increasing the extent to which it is shaped by socially transmitted, learned behaviors. Mutations that made these new abilities easier or faster to learn would have undergone positive selection, and over time, the neural changes once associated with individual neural plasticity would tend to become heritable, innate, and fixed. Clearly, though, language is not entirely “innate;” it does not emerge without the requisite environmental input and experience. Thus, a mechanistic explanation for the evolution of language must address the inherent trade-off between the evolutionary pressure for underlying neural systems to be flexible and sensitive to environmental input vs. the tendency over time for continually adaptive behaviors to become reliably expressed in an early-emerging, canalized, less flexible manner. (shrink)

Steels & Belpaeme's (S&B's) simulations contain all the right components, but they are put together wrongly. Color categories are unrepresentative of categories in general and language is not merely naming. Language evolved because it provided a powerful new way to acquire categories (through instruction, rather than just the old way of other species, through trial-and-error experience). It did not evolve so that multiple agents looking at the same objects could let one another know which of the objects they (...) had in mind, co-coining names for them on the fly. (shrink)

Three issues are addressed in this commentary. (1) Wilkins & Wakefield are commended for placing the complex behavior they discuss within an evolutionary matrix. (2) They err on a number of points in regard to their treatment of this complex behavior. These involve (a) their emphasis on the evolution of conceptual structure rather than language, (b) their equation of meaning with reference, (c) their minimalist view of learning theory, and (d) their separation of the evolution of speech from that (...) of language. (3) They adopt a framework for neural preconditions that has been clearly discredited on both behavioral and neuroanatomical grounds. Finally, recent research involving modern neuroimaging techniques casts further doubt on the authors' postulated functions for the neural areas they discuss. (shrink)

To model behavioral and neural correlates of language comprehension in naturalistic environments, researchers have turned to broad‐coverage tools from natural‐language processing and machine learning. Where syntactic structure is explicitly modeled, prior work has relied predominantly on context‐free grammars (CFGs), yet such formalisms are not sufficiently expressive for human languages. Combinatory categorial grammars (CCGs) are sufficiently expressive directly compositional models of grammar with flexible constituency that affords incremental interpretation. In this work, we evaluate whether a more expressive CCG provides (...) a better model than a CFG for human neural signals collected with functional magnetic resonance imaging (fMRI) while participants listen to an audiobook story. We further test between variants of CCG that differ in how they handle optional adjuncts. These evaluations are carried out against a baseline that includes estimates of next‐word predictability from a transformer neural network language model. Such a comparison reveals unique contributions of CCG structure‐building predominantly in the left posterior temporal lobe: CCG‐derived measures offer a superior fit to neural signals compared to those derived from a CFG. These effects are spatially distinct from bilateral superior temporal effects that are unique to predictability. Neural effects for structure‐building are thus separable from predictability during naturalistic listening, and those effects are best characterized by a grammar whose expressive power is motivated on independent linguistic grounds. (shrink)

Human language looms large in the emergence and evolution of graphic codes. Here, I argue that language not only acts as a strong constraint on graphic codes, but it is also a precondition for their emergence and their evolution as computational devices.

If one formulates Helmholtz’s ideas about perception in terms of modern-day theories one arrives at a model of perceptual inference and learning that can explain a remarkable range of neurobiological facts. Using constructs from statistical physics it can be shown that the problems of inferring what cause our sensory inputs and learning causal regularities in the sensorium can be resolved using exactly the same principles. Furthermore, inference and learning can proceed in a biologically plausible fashion. The ensuing scheme rests on (...) Empirical Bayes and hierarchical models of how sensory information is generated. The use of hierarchical models enables the brain to construct prior expectations in a dynamic and context-sensitive fashion. This scheme provides a principled way to understand many aspects of the brain’s organisation and responses. In this paper, we suggest that these perceptual processes are just one emergent property of systems that conform to a free-energy principle. The free-energy considered here represents a bound on the surprise inherent in any exchange with the environment, under expectations encoded by its state or configuration. A system can minimise free-energy by changing its configuration to change the way it samples the environment, or to change its expectations. These changes correspond to action and perception, respectively, and lead to an adaptive exchange with the environment that is characteristic of biological systems. This treatment implies that the system’s state and structure encode an implicit and probabilistic model of the environment. We will look at models entailed by the brain and how minimisation of free-energy can explain its dynamics and structure. (shrink)

In _The Boundaries of Babel_, Andrea Moro tells the story of an encounter between two cultures: contemporary theoretical linguistics and the cognitive neurosciences. The study of language within a biological context has been ongoing for more than fifty years. The development of neuroimaging technology offers new opportunities to enrich the "biolinguistic perspective" and extend it beyond an abstract framework for inquiry. As a leading theoretical linguist in the generative tradition and also a cognitive scientist schooled in the new imaging (...) technology, Moro is uniquely equipped to explore this. Moro examines what he calls the "hidden" revolution in contemporary science: the discovery that the number of possible grammars is not infinite and that their number is biologically limited. This radical but little-discussed change in the way we look at language, he claims, will require us to rethink not just the fundamentals of linguistics and neurosciences but also our view of the human mind. Moro searches for neurobiological correlates of "the boundaries of Babel" -- the constraints on the apparent chaotic variation in human languages -- by using an original experimental design based on artificial languages. He offers a critical overview of some of the fundamental results from linguistics over the last fifty years, in particular regarding syntax, then uses these essential aspects of language to examine two neuroimaging experiments in which he took part. He describes the two neuroimaging techniques used, but makes it clear that techniques and machines do not provide interesting data without a sound theoretical framework. Finally, he discusses some speculative aspects of modern research in biolinguistics regarding the impact of the linear structure of linguistics expression on grammar, and more generally, some core aspects of language acquisition, genetics, and evolution. (shrink)

What are the differences between philosophy and science, or between the methods of philosophy and the methods of science? Unlike some philosophers we do not find philosophy and the methods of philosophy to be sui generis. Science, and in particular neuroscience, has much to tell us about the nature of the world and the concepts that we must use to understand and explain it. Yet science cannot function well without reflective analysis of the concepts, methods, and practices that constitute it. (...) For example, experimental methods and their resulting empirical data are essential for understanding the world, yet such data is not a-conceptual. Understanding how and what theoretical assumptions, conceptual assumptions, and practical knowledge guide the use of experimental methods is relevant to understanding the results of that use. In this way, philosophy – whether done by philosophers or scientists – has a role to play in understanding the world. Neuroscience is typically individualistic in focus; nonetheless, the mechanisms of learning and linguistic ability that some neuroscientists study also have a role to play in understanding communication. Philosophy cannot offer adequate understanding, even conceptual clarity, in isolation from empirical investigation. Yet, this does not require that science or scientific concepts will replace or reduce philosophical concepts, let alone those of ordinary language. (shrink)

Theory of Mind(ToM) is a neurocognitive system that allows the perceiver to attribute mental states, such as intentions, beliefs, or feelings, to others’ actions. The aim of the present work is to analyse the engagement of the ToM system in communication, in particular, in communicative intention processing. To this aim, we propose anIntention Processing Network(IPN) with its own principles and mechanisms, that is, a brain network differentially engaged according to the complex intertwining of the context, goal, and action involved. (...) According to our IPN model, a set of brain regions of the ToM system (i.e. left and right temporoparietal junction, precuneus, and medial prefrontal cortex) are differentially involved in comprehending different types of intention, such as private or social intentions. We provide independent and convergent evidence on the role of the IPN model in communicative intention processing and we show that the engagement of the IPN does not depend upon the communicative means used, that is, written language, auditory language, or gesture. Evidence deriving from different experimental paradigms, including neuroimaging, lesion, neurodegenerative, and brain stimulation studies are discussed. In our view, this evidence establishes a link between ToM and pragmatics studies and suggests the role of intention processing as a core feature of human communication. (shrink)

Leading scholars draw on the latest research to explore what birdsong can tell us about the biology of human speech and language and the consequences for evolutionary biology.

The interview with one of the founders of the Tartu–Moscow school, semiotician Vyacheslav Vsevolodovich Ivanov (b. 1929) from August 2010, describes V. V. Ivanov’s opinions of several scholars and their work (including Evgenij Polivanov, Mikhail Bakhtin, Andrej Kolmogorov, Nikolaj Marr etc.), his relationships with his father Vsevolod Ivanov, as well as V. V. Ivanov’s views on the past and future of semiotics, with some emphasis on neurosemiotics, zoosemiotics, semiotics of culture, cybernetics, history of linguistics, study and protection of small languages. (...) The interview also deals with V. V. Ivanov’s book Even and Odd. (shrink)

To identify the neural components that make a brain ready for language, it is important to have well defined linguistic phenotypes, to know precisely what language is. There are two central features to language: the capacity to form signs (words), and the capacity to combine them into complex structures. We must determine how the human brain enables these capacities. A sign is a link between a perceptual form and a conceptual meaning. Acoustic elements and content (...) elements, are already brain-internal in non-human animals, but as categorical systems linked with brain-external elements. Being indexically tied to objects of the world, they cannot freely link to form signs. A crucial property of a language-ready brain is the capacity to process perceptual forms and contents offline, detached from any brain-external phenomena, so their “representations” may be linked into signs. These brain systems appear to have pleiotropic effects on a variety of phenotypic traits and not to be specifically designed for language. Syntax combines signs, so the combination of two signs operates simultaneously on their meaning and form. The operation combining the meanings long antedates its function in language: the primitive mode of predication operative in representing some information about an object. The combination of the forms is enabled by the capacity of the brain to segment vocal and visual information into discrete elements. Discrete temporal units have order and juxtaposition, and vocal units have intonation, length, and stress. These are primitive combinatorial processes. So the prior properties of the physical and conceptual elements of the sign introduce combinatoriality into the linguistic system, and from these primitive combinatorial systems derive concatenation in phonology and combination in morphosyntax. Given the nature of language, a key feature to our understanding of the language-ready brain is to be found in the mechanisms in human brains that enable the unique means of representation that allow perceptual forms and contents to be linked into signs. (shrink)

To find adequate answers to a changing reality heavily influenced by advances in technology, medical professionals have developed and adopted an array of terms that have brought new concepts into the profession. “Dignity,” “vegetative state,” “futility,” “double effect,” and “brain death” have become indispensable words in the medical setting. In the following discussion, the attention is on terminology. If we believe in phenomenology, the assumption is that we should closely reflect on the words we use in all spheres of (...) life, especially in those that concern life and death. This article calls for a sincere discussion about these terms and concepts. The thesis put forward is that the language in the medical setting serves primarily the physicians, at times at the expense of the patients’ best interests. This language and the concepts it describes have generated an unhealthy atmosphere for patients, which might lead to undesirable actions at the end of patients’ lives. (shrink)

The overall claim of this dissertation is that nativism and naturalism are incompatible. Further, given the strength of the nativist arguments against their empirical counterparts, the way is open for an inductive argument for the existence of God. The particular species of nativism currently occupying the role of a dominant research program is linguistic nativism, the view that a grammar or a mental language is innately housed in the human mind. Thus, the argument will focus on showing that the (...) capacity of human beings to acquire natural languages provides evidence for the failure of naturalism and, in so doing, opens the way for a theistic research program. -/- In the first part of the argument in chapters two through four, I argue that nativism is incompatible with naturalism. Nativism is the view that there is something more than a general learning mechanism within the human mind prior to experience. Those things might be beliefs, concepts, or other domain-specific mechanisms. According to nativists, their innate presence in the mind explains the capacity, knowledge, or some other cognitive competence of human beings in their mature state. Nativists include Plato, Descartes, and Leibniz. In contrast, empiricists, including Aristotle, John Locke, and David Hume denied that there is much more than a general-purpose learning mechanism in the mind. They claimed that a combination of a general learning mechanism and the data available from the environment adequately explains the beliefs, concepts, and capacities we acquire. Historically, nativists could not postulate the presence of innate beliefs, concepts, or mechanisms without also embracing a form of non-naturalism. Consequently, most naturalists endorsed versions of empiricism proposed by Locke and Hume. -/- Just as there are nativists and empiricists about concepts and beliefs, there are nativists about language. Indeed, the problem of language acquisition—how a small child has the capacity to learn language—generated a revival in interest in nativism in the 1960s led by linguist, Noam Chomsky. Linguistic nativists claim that language acquisition is only possible if human beings possess certain capacities, structures, concepts, or beliefs. The two dominant nativists at the time were Noam Chomsky and Jerry Fodor. Chomsky proposed an innate Universal Grammar housed in a domain-specific device in the human brain. Fodor went much further and postulated that an entire language of thought is present in the human mind. Empiricists, on the other hand, claim that the linguistic data extant in the environment of a language learner combined with a general-purpose learning mechanism provides a sufficient explanation for language acquisition in humans. I argue that though nativist arguments against empiricism are at least sufficient to fend off empiricist objections, linguistic nativism turns out to be incompatible with naturalism. Thus, nativists ought to adopt a form of non-naturalism. The bulk of the dissertation will be spent defending this claim. -/- In the second part of the dissertation, I will argue that in place of naturalism, nativists ought to adopt theism. I will suggest that theism uniquely explains human linguistic capacities without facing problems that plague other forms of non-naturalism. Thus, the arguments for nativism turn out to be arguments for theism. Finally, I argue that the entailment does not go the other way. It is not the case that theism entails nativism. Instead, the theist is able to choose from a range of options. (shrink)

The opening story in Winesburg, Ohio by Sherwood Anderson is called simply “Hands.” It is about a teacher’s remarkable hands that sometimes seem to move independently of his will. This essay explores some of the relevant contexts and potential links, beginning with other representations of teachers’ hands, such as Caravaggio’s St. Matthew and the Angel, early efforts to establish a sign-language for the deaf, and including the Montessori method of teaching children to read and write by tracing the shape (...) of letters with their hands on rough emery paper. The essay then explores filmic hands that betray or work independently of conscious intentions, from Dr Strangelove, Mad Love, to The Beast With Five Fingers. Discussion of the medical literature about the “double” of our hands in the brain, including “phantom hands,” leads on to a series of images that register Rodin’s lifelong fascination with sculpting separate hands. (shrink)

A popular interpretation of linguistic theories has it that they should describe the brain at a high level of abstraction. One way this has been understood is as the requirement that the theory’s derivational structure reflect (by being isomorphic to) relevant structural properties of the language user’s brain. An important criticisrn of this idea, made originally by Crispin Wright against Gareth Evans in the 1980s, still has purchase, notwithstanding attempts to reply to it, notably by Martin Davies (...) and, indirectly, Christopher Peacocke. Wright’s objection seems to have been forgotten rather than seen off. (shrink)

We agree that language adapts to the brain, but we note that language also has to adapt to brain-external constraints, such as those arising from properties of the cultural transmission medium. The hypothesis that Christiansen & Chater (C&C) raise in the target article not only has profound consequences for our understanding of language, but also for our understanding of the biological evolution of the language faculty.

The controversy over brain death and the dead donor rule continues unabated, with some of the same key points and positions starting to see repetition in the literature. One might wonder whether some of the participants are talking past each other, not all debating the same issue, even though they are using the same words (e.g., “death”). One reason for this is the complexity of the debate: It’s not merely about the nature of human life and death. Interwoven into (...) this debate are deep philosophical issues on realism, the normative/descriptive distinction, the relation of thought and language to the world, the mind–body problem, personhood, moral status, and the ethics of killing. There are also social and legal .. (shrink)