With a focus on receptive language, we examine the neurobiological evidence for the interdependence of receptive and expressive language processes. While we agree that there is compelling evidence for such interdependence, we suggest that Pickering & Garrod's (P&G's) account would be enhanced by considering more-specific situations in which their model does, and does not, apply.

We critique five points that impede the target article's far-reaching efforts toward formulating a neurobiological theory of language. Neurolinguistics amounts to no more than neurology in linguistics in this account, because it assumes “perceptual representational isomorphism,” processing autonomy and “meaning,” thereby aiming primarily at justifying modular concepts in terms of associative principles.

Patricia Smith Churchland's Neurophilosophy argues that a mind is the same thing as the complex patterns of neural activity in a human brain and, furthermore, that we will be able to find out interesting things about the mind by studying the brain. I basically agree with this stance and my comments are divided into four sections. First, comparisons between human and non?human primate brains are discussed in the context, roughly, of where one should locate higher functions. Second, I examine Churchland's (...) views on reduction and levels of organization, which I find mostly congenial. Third, a key point of disagreement about the relationship and importance of language to specifically human cognition is taken up. I like Churchland's critique of certain sentential paradigms, but I try to show using an analogy with cellular coding systems why we need to get a better theory of ?sentences?. Finally, I discuss how the models introduced in the last chapter might be extended to make better contact with neurobiology and language. (shrink)

Müller's target article aims to summarize approaches to the question of how language elements (phonemes, morphemes, etc.) and rules are laid down in the brain. However, it suffers from being too vague about basic assumptions and empirical predictions of neurobiological models, and the empirical evidence available to test the models is not appropriately evaluated. (1) In a neuroscientific model of language, different cortical localizations of words can only be based on biological principles. These need to be made explicit. (...) (2) Evidence for and against word class differences could be evaluated more rigorously. (3) All (and only) humans are able to learn languages with complex syntactic structures; it is, therefore, not appropriate to deny innateness and universality of syntactic principles. The real question appears to be the following: Which neurobiological principles are the linguistic principles based on? (shrink)

To what extent is the neural organization of language dependent on factors specific to the modalities in which language is perceived and through which it is produced? That is, is the left-hemisphere dominance for language a function of a linguistic specialization or a function of some domain-general specialization(s), such as temporal processing or motor planning? Investigations of the neurobiology of signed language can help answer these questions. As with spoken languages, signed languages of the deaf (...) display complex grammatical structure but are perceived and produced via radically different modalities. Thus, by mapping out the neurological similarities and differences between signed and spoken language, it is possible to identify modality-specific contributions to brain organization for language. Research to date has shown a significant degree of similarity in the neurobiology of signed and spoken languages, suggesting that the neural organization of language is largely modality-independent. (shrink)

The computational program for theoretical neuroscience initiated by Marr and Poggio (1977) calls for a study of biological information processing on several distinct levels of abstraction. At each of these levels — computational (defining the problems and considering possible solutions), algorithmic (specifying the sequence of operations leading to a solution) and implementational — significant progress has been made in the understanding of cognition. In the past three decades, computational principles have been discovered that are common to a wide range of (...) functions in perception (vision, hearing, olfaction) and action (motor control). More recently, these principles have been applied to the analysis of cognitive tasks that require dealing with structured information, such as visual scene understanding and analogical reasoning. Insofar as language relies on cognition-general principles and mechanisms, it should be possible to capitalize on the recent advances in the computational study of cognition by extending its methods to linguistics. (shrink)

Our self-conception derives mostly from our own experience. We believe ourselves to be conscious, rational, social, ethical, language-using, political agents who possess free will. Yet we know we exist in a universe that consists of mindless, meaningless, unfree, nonrational, brute physical particles. How can we resolve the conflict between these two visions? In _Freedom and Neurobiology_, the philosopher John Searle discusses the possibility of free will within the context of contemporary neurobiology. He begins by explaining the relationship between (...) human reality and the more fundamental reality as described by physics and chemistry. Then he proposes a neurobiological resolution to the problem by demonstrating how various conceptions of free will have different consequences for the neurobiology of consciousness. In the second half of the book, Searle applies his theory of social reality to the problem of political power, explaining the role of language in the formation of our political reality. The institutional structures that organize, empower, and regulate our lives-money, property, marriage, government-consist in the assignment and collective acceptance of certain statuses to objects and people. Whether it is the president of the United States, a twenty-dollar bill, or private property, these entities perform functions as determined by their status in our institutional reality. Searle focuses on the political powers that exist within these systems of status functions and the way in which language constitutes them. Searle argues that consciousness and rationality are crucial to our existence and that they are the result of the biological evolution of our species. He addresses the problem of free will within the context of a neurobiological conception of consciousness and rationality, and he addresses the problem of political power within the context of this analysis. A clear and concise contribution to the free-will debate and the study of cognition, _Freedom and Neurobiology_ is essential reading for students and scholars of the philosophy of mind. (shrink)

Our self-conception derives mostly from our own experience. We believe ourselves to be conscious, rational, social, ethical, language-using, political agents who possess free will. Yet we know we exist in a universe that consists of mindless, meaningless, unfree, nonrational, brute physical particles. How can we resolve the conflict between these two visions? In _Freedom and Neurobiology_, the philosopher John Searle discusses the possibility of free will within the context of contemporary neurobiology. He begins by explaining the relationship between (...) human reality and the more fundamental reality as described by physics and chemistry. Then he proposes a neurobiological resolution to the problem by demonstrating how various conceptions of free will have different consequences for the neurobiology of consciousness. In the second half of the book, Searle applies his theory of social reality to the problem of political power, explaining the role of language in the formation of our political reality. The institutional structures that organize, empower, and regulate our lives-money, property, marriage, government-consist in the assignment and collective acceptance of certain statuses to objects and people. Whether it is the president of the United States, a twenty-dollar bill, or private property, these entities perform functions as determined by their status in our institutional reality. Searle focuses on the political powers that exist within these systems of status functions and the way in which language constitutes them. Searle argues that consciousness and rationality are crucial to our existence and that they are the result of the biological evolution of our species. He addresses the problem of free will within the context of a neurobiological conception of consciousness and rationality, and he addresses the problem of political power within the context of this analysis. A clear and concise contribution to the free-will debate and the study of cognition, _Freedom and Neurobiology_ is essential reading for students and scholars of the philosophy of mind. (shrink)

The concepts of the innateness, universality, species-specificity, and autonomy of the human language capacity have had an extreme impact on the psycholinguistic debate for over thirty years. These concepts are evaluated from several neurobiological perspectives, with an emphasis on the emergence of language and its decay due to brain lesion and progressive brain disease.Evidence of perceptuomotor homologies and preadaptations for human language in nonhuman primates suggests a gradual emergence of language during hominid evolution. Regarding ontogeny, the (...) innate component of language capacity is likely to be polygenic and shared with other developmental domains. Dissociations between verbal and nonverbal development are probably rooted in the perceptuomotor specializations of neural substrates rather than the autonomy of a grammar module. Aphasiologicaldata often assumed to suggest modular linguistic subsystems can be accounted for in terms of a neurofunctional model incorporating perceptuomotor-based regional specializationsand distributivity of representations. Thus, dissociations between grammatical functors and content words are due to different conditions of acquisition and resulting differences in neural representation. Human brains are characterized by multifactorial interindividual variability, and strict universality of functional organization is biologically unrealistic.A theoretical alternative is proposed according to which (1) linguistic specialization of brain areas is due to epigenetic and probabilistic maturational events, not to genetic ”hard-wiring,” and (2) linguistic knowledge is neurally represented in distributed cell assemblies whose topography reflects the perceptuomotor modalities involved in the acquisition and use of a given item of knowledge. (shrink)

In this response to multidisciplinary commentaries on the target article, “Words in the brain's language,” additional features of the cell-assembly model are reviewed, as demanded by some of the commentators. Subsequently, methodological considerations on how to perform additional tests of neurobiological language models as well as a discussion of recent data from neuroimaging, neuropsychological, and other behavioral studies in speakers of spoken and sign languages follow. Special emphasis is put on the explanatory power of the cell-assembly model regarding (...) neuropsychological double dissociations. Future perspectives on neural network simulations, neuronal mechanisms of syntax and semantics, and the interaction of attention mechanisms and cell assemblies are pointed out in the final paragraphs. (shrink)

A theory that treats language not as an abstract symbol system but as a function of our brains and experience, integrating recent findings from biology, ...

The conclusion that language is not really innate or modular is based on several fallacies. I show that the target article confuses communicative skills with linguistic abilities, and that its discussion of brain/language relations is replete with factual errors. I also criticize its attempt to contrast biological and linguistic principles. Finally, I argue that no case is made for the “alternative” approach proposed here.

We offer a theory regarding the symbolism of the human body in legal discourse. The theory blends legal theory, the neuroscience of empathy, and biosemiotics, a branch of semiotics that combines semiotics with theoretical biology. Our theory posits that this symbolism of the body is not solely a metaphor or semiotic sign of how law is cognitively structured in the mind. We propose that it also signifies neurobiological mechanisms of social emotion in the brain that are involved in the social (...) and moral decision-making and behavior that law generally seeks to govern. Specifically, we hypothesize that the symbol of a collective human body in the language of law signifies neural mechanisms of pain empathy which generate a virtual, neurally simulated, emotional sense of sharing the feelings or pain of others and of thereby being one-in-body with or virtually equal to them. We speculate that this may be the neural basis of what is signified in legal and political theory as the “body politic” or “sense of equality,” because neuroscience and psychiatry further suggest that such pain empathy may provide the natural, emotional motivation to think and act in a rights-based manner. We conclude that misunderstanding of these neural mechanisms of pain empathy and related misinterpretation of this corporeal symbolism for the same may have long resulted in legal discourse that misinterprets the function of “pain” in the law and misinterprets the associated positive law, specifically the law regarding individual, equality-based rights and criminal justice, in particular, punishment theory. (shrink)

One component of our conscious self-awareness is the voice we hear inside our heads, a form of 'inner speech'. This voice of our conscious thoughts is an exact reflection of our personal voice, with our vocabulary, favourite phrases, and regional idioms. In this paper I present a neurobiological model for the mechanism behind these language-based conscious thoughts. Central to this model is the process of associative conditioning. Through repeated pairings of the neural processes of speech with those of auditory (...) perception of the words spoken, when the action of speech is triggered, but in this case vocalization is inhibited, the neural mechanisms underlying its perception are activated and create 'hearing' the unspoken words. Interestingly, the model predicts the form in which the 'inner voice' of the deaf who have no spoken language and communicate through Sign actually experience their thoughts. (shrink)

n the nervous system, the orbitofrontal cortex, the amygdala, and the body proper are involved in personal and social decision making. Since normal conversational interaction involves making personal and social decisions on a moment to moment basis about what to say and how to say it, it is proposed that these areas of the nervous system, which subserve stimulus appraisal, attachment, affect regulation, and social cognition, also subserve decision making in language pragmatics.

In the nervous system, the orbitofrontal cortex, the amygdala, and the body proper are involved in personal and social decision making. Since normal conversational interaction involves making personal and social decisions on a moment to moment basis about what to say and how to say it, it is proposed that these areas of the nervous system, which subserve stimulus appraisal, attachment, affect regulation, and social cognition, also subserve decision making in language pragmatics.

Neurobiological models of language need a level of analysis that can account for the typical range of language phenomena. Because linguistically motivated models have been successful in explaining numerous language properties, it is premature to dismiss them as biologically irrelevant. Models attempting to unify neurobiology and linguistics need to be sensitive to both sources of evidence.

1. On the contradictory nature of contemporary linguistic theories and how to change it for the better -- 2. A reference-based approach to describing notional words -- 3. Basic-level concepts as the neurobiological codes for memory -- 4. Elements of a sensory grammar -- 5. On the single structure of lexical meanings of nouns and verbs -- References -- Index.

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)

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)

One can disagree with Müller that it is neurobiologically questionable to suppose that human language is innate, specialized, and species-specific, yet agree that the precise brain mechanisms controlling language in any individual will be influenced by epigenesis and genetic variability, and that the interplay between inherited and acquired aspects of linguistic capacity deserves to be investigated.

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)

This commentary deals with the relation between human language and nonverbal signals used by nonhuman primates. It suggests that human language could have developed through the interaction of procedural learning with a preexisting system for socio-affective communication. The introduction of “content” into existing “frames” requires a neurobiologically plausible learning mechanism.

In this paper, we suggest that affect meets the traditional definition of “cognition” such that the affect–cognition distinction is phenomenological, rather than ontological. We review how the affect–cognition distinction is not respected in the human brain, and discuss the neural mechanisms by which affect influences sensory processing. As a result of this sensory modulation, affect performs several basic “cognitive” functions. Affect appears to be necessary for normal conscious experience, language fluency, and memory. Finally, we suggest that understanding the differences (...) between affect and cognition will require systematic study of how the phenomenological distinction characterising the two comes about, and why such a distinction is functional. (shrink)

We examine Carruthers’ proposal that sentences in logical form serve to create flexibility within central system modularity, enabling the combination of information from different modalities. We discuss evidence from aphasia and the neurobiology of input-output systems. This work suggests that there exists considerable capacity for interdomain cognitive processing without language mediation. Other challenges for a logical form account are noted.

In their recent and influential book Rethinking Innateness, Jeffrey Elman and his co‐authors argue that evidence from neurobiology provides us with grounds to reject representational nativism (RN). I argue that Elman et al.’s argument fails because it makes a series of unwarranted assumptions about RN and about the extent to which neurobiological data constrain claims about the innateness of mental rep‐resentations. Moreover, I briefly discuss how we ought to understand RN and argue that on two prima facie plausible approaches, (...) far from refuting nativism, the evidence from neurobiology may not even be relevant to the question of whether or not RN is true. (shrink)

The pervasive use of distributional semantic models or word embeddings for both cognitive modeling and practical application is because of their remarkable ability to represent the meanings of words. However, relatively little effort has been made to explore what types of information are encoded in distributional word vectors. Knowing the internal knowledge embedded in word vectors is important for cognitive modeling using distributional semantic models. Therefore, in this paper, we attempt to identify the knowledge encoded in word vectors by conducting (...) a computational experiment using Binder et al.'s (2016) featural conceptual representations based on neurobiologically motivated attributes. In an experiment, these conceptual vectors are predicted from text‐based word vectors using a neural network and linear transformation, and prediction performance is compared among various types of information. The analysis demonstrates that abstract information is generally predicted more accurately by word vectors than perceptual and spatiotemporal information, and specifically, the prediction accuracy of cognitive and social information is higher. Emotional information is also found to be successfully predicted for abstract words. These results indicate that language can be a major source of knowledge about abstract attributes, and they support the recent view that emphasizes the importance of language for abstract concepts. Furthermore, we show that word vectors can capture some types of perceptual and spatiotemporal information about concrete concepts and some relevant word categories. This suggests that language statistics can encode more perceptual knowledge than often expected. (shrink)

Children with specific language impairment show a significant deficit in spoken language that cannot be attributed to neurological damage, hearing impairment, or intellectual disability. More prevalent than autism and at least as prevalent as dyslexia, SLI affects approximately seven percent of all children; it is longstanding, with adverse effects on academic, social, and economic standing. The first edition of this work established _Children with Specific Language Impairment_ as the landmark reference on this condition, considering not only the (...) disorder's history, possible origins, and treatment but also what SLI might tell us about language organization and development in general. This second edition offers a complete update of the earlier volume. Much of the second edition is completely new, reflecting findings and interpretations based on the hundreds of studies that have appeared since the publication of the first edition in 1997. Topics include linguistic details, word and sentence processing findings, genetics, neurobiology, treatment, and comparisons to such conditions as autism spectrum disorders, ADHD, and dyslexia. The book covers SLI in children who speak a wide range of languages, and, although the emphasis is on children, it also includes studies of adults who were diagnosed with SLI as children or are the parents of children with SLI. Written by a leading scholar in the field, Children with Specific Language Impairment offers the most comprehensive, balanced, and unified treatment of SLI available. (shrink)

A cartoon description of the goals of cognitive science and neuroscience might read respectively “How the mind works” and “How the brain works.” In this caricature, there would seem to be little overlap in the vocabularies employed by each domain. The cartoon cognitive scientist could speak at length about decision making and short‐term memory in a relatively self‐consistent manner, without any need to make reference to the language of neuroscience. Likewise, the cartoon neuroscientist could provide an immense body of (...) physical detail about the function of neurons, synapses, and their component parts. She could even build models about how collections of neurons work together, or even how they might have developed. (shrink)

To what extent is the neural organization of language dependent on factors specific to the modalities in which language is perceived and through which it is produced? That is, is the left-hemisphere dominance for language a function of a linguistic specialization or a function of some domain-general specialization, such as temporal processing or motor planning? Investigations of the neurobiology of signed language can help answer these questions. As with spoken languages, signed languages of the deaf (...) display complex grammatical structure but are perceived and produced via radically different modalities. Thus, by mapping out the neurological similarities and differences between signed and spoken language, it is possible to identify modality-specific contributions to brain organization for language. Research to date has shown a significant degree of similarity in the neurobiology of signed and spoken languages, suggesting that the neural organization of language is largely modality-independent. (shrink)

Although Grodzinsky's target article has merit, it neglects the importance of neural mechanisms underlying language functions. We present results from our clinical studies on different levels of temporal information processing in aphasic patients and briefly review the existing data on neurobiology of language to cast new light on the main thesis of the target article.

In their recent and influential book Rethinking Innateness, Jeffrey Elman and his co‐authors argue that evidence from neurobiology provides us with grounds to reject representational nativism (RN). I argue that Elman et al.’s argument fails because it makes a series of unwarranted assumptions about RN and about the extent to which neurobiological data constrain claims about the innateness of mental rep‐resentations. Moreover, I briefly discuss how we ought to understand RN and argue that on two prima facie plausible approaches, (...) far from refuting nativism, the evidence from neurobiology may not even be relevant to the question of whether or not RN is true. (shrink)

If the cortex is an associative memory, strongly connected cell assemblies will form when neurons in different cortical areas are frequently active at the same time. The cortical distributions of these assemblies must be a consequence of where in the cortex correlated neuronal activity occurred during learning. An assembly can be considered a functional unit exhibiting activity states such as full activation (“ignition”) after appropriate sensory stimulation (possibly related to perception) and continuous reverberation of excitation within the assembly (a putative (...) memory process). This has implications for cortical topographies and activity dynamics of cell assemblies forming during language acquisition, in particular for those representing words. Cortical topographies of assemblies should be related to aspects of the meaning of the words they represent, and physiological signs of cell assembly ignition should be followed by possible indicators of reverberation. The following postulates are discussed in detail: (1) assemblies representing phonological word forms are strongly lateralized and distributed over perisylvian cortices; (2) assemblies representing highly abstract words such as grammatical function words are also strongly lateralized and restricted to these perisylvian regions; (3) assemblies representing concrete content words include additional neurons in both hemispheres; (4) assemblies representing words referring to visual stimuli include neurons in visual cortices; and (5) assemblies representing words referring to actions include neurons in motor cortices. Two main sources of evidence are used to evaluate these proposals: (a) imaging studies focusing on localizing word processing in the brain, based on stimulus-triggered event-related potentials (ERPs), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI), and (b) studies of the temporal dynamics of fast activity changes in the brain, as revealed by high-frequency responses recorded in the electroencephalogram (EEG) and magnetoencephalogram (MEG). These data provide evidence for processing differences between words and matched meaningless pseudowords, and between word classes, such as concrete content and abstract function words, and words evoking visual or motor associations. There is evidence for early word class-specific spreading of neuronal activity and for equally specific high-frequency responses occurring later. These results support a neurobiological model of language in the Hebbian tradition. Competing large-scale neuronal theories of language are discussed in light of the data summarized. Neurobiological perspectives on the problem of serial order of words in syntactic strings are considered in closing. Key Words: associative learning; cell assembly; cognition; cortex; ERP; EEG; fMRI; language; lexicon; MEG; PET; word category. (shrink)

We propose that human self-domestication favored the emergence of a less aggressive phenotype in our species, more precisely phenotype prone to replace (reactive) physical aggression with verbal aggression. In turn, the (gradual) transition to verbal aggression and to more sophisticated forms of verbal behavior favored self-domestication, with the two processes engaged in a reinforcing feedback loop, considering that verbal behavior entails not only less violence and better survival, but also more opportunities to interact longer and socialize with more conspecifics, ultimately (...) enabling the emergence of more complex forms of language. Whereas in the case of self-domestication sexual selection has been proposed to work against physical aggression traits, in the case of verbal insult the selection has been proposed to work in favor of verbal aggression. The tension between these two seemingly opposing forces gets resolved/alleviated by a tendency to replace physical aggression with verbal aggression, and with verbal behavior more generally. This also helps solve the paradox of the Self Domestication Hypothesis regarding aggression, more precisely why aggression in humans has been reduced only when it comes to reactive aggression, but not when it comes to proactive aggression, the latter exhibiting an increase with the advent of modern language. We postulate that this feedback loop was particularly important during the time period before 50 kya, arguably between 200 kya and 50 kya, when humans were not fully modern, neither in terms of their skull/brain morphology and their behavior/culture, nor in terms of their self-domestication. The novelty of our approach lies (i) in giving an active role to early forms of language in interacting with self-domestication processes; (ii) in providing specific linguistic details and functions of this early stage of grammar (including insult and humor); (iii) in supplying neurobiological, ontogenetic, and clinical evidence of a link between (reactive) aggression and (reactive) verbal behavior; (iv) in identifying a variety of proxies of the earlier stages in evolution among cognitive disorders; and (v) in identifying specific points of contact and mutual reinforcement between these two processes (self-domestication and early language evolution), including reduction in physical aggression and stress/tension, as well as sexual selection. (shrink)

Letter-position tolerance varies across languages. This observation suggests that the neural code for letter strings may also be subtly different. Although language-specific models remain useful, we should endeavor to develop a universal model of reading acquisition which incorporates crucial neurobiological constraints. Such a model, through a progressive internalization of phonological and lexical regularities, could perhaps converge onto the language-specific properties outlined by Frost.

Müller provides a valuable synthesis of neurobiological evidence on the epigenetic development of neural structures involved in language acquisition. The pluripotentiality of developing neural tissue crucially constrains linguistic/cognitive theorizing about supposedly innate neural mechanisms and contributes significantly to our understanding of experience–dependent processes involved in language acquisition. Without this understanding, any proposed explanation of language acquisition is suspect.

Purpose With the increasing sophistication of neuroimaging technologies in medicine, new language is being sought to make sense of the findings. The aim of this paper is to explore whether the brain-reading metaphor used to convey current medical or neurobiological findings imports unintended significations that do not necessarily reflect the genuine findings made by physicians and neuroscientists. Methods First, the paper surveys the ambiguities of the readability metaphor, drawing from the history of science and medicine, paying special attention to (...) the sixteenth through nineteenth centuries. Next, the paper addresses more closely the issue of how metaphors may be confusing when used in medicine in general, and neuroscience in particular. The paper then explores the possible misleading effects associated with the contemporary use of the brain-reading metaphor in neuroimaging research. Results Rather than breaking new ground, what we see in current scientific language is a persistence of both a constraining and expansive set of language practices forming a relatively continuous tradition linking current neuroimaging to past scientific investigations into the brain. Conclusions The use of the readability metaphor thus carries with it both positive and negative effects. Physicians and neuroscientists must resort to the use of terms already laden with abstracted meanings, and often burdened by tradition, at the risk of importing through these words connotations that do not tally with the sought-after objectivity of empirical science. (shrink)

Despite the lack of invariance problem (the many‐to‐many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side‐stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real‐world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to (...) provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two‐layer network that borrows one element from ASR, long short‐term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human‐like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR. (shrink)

In humans, conscious perception and cognition depends upon the thalamocortical complex, which supports perception, explicit cognition, memory, language, planning, and strategic control. When parts of the T-C system are damaged or stimulated, corresponding effects are found on conscious contents and state, as assessed by reliable reports. In contrast, large regions like cerebellum and basal ganglia can be damaged without affecting conscious cognition directly. Functional brain recordings also show robust activity differences in cortex between experimentally matched conscious and unconscious events. (...) This basic anatomy and physiology is highly conserved in mammals and perhaps ancestral reptiles. While language is absent in other species, homologies in perception, memory, and motor cortex suggest that consciousness of one kind or another may be biologically fundamental and phylogenetically ancient. In humans we infer subjective experiences from behavioral and brain evidence. This evidence is quite similar in other mammals and perhaps some non-mammalian species. On the weight of the biological evidence, therefore, subjectivity may be conserved in species with human-like brains and behavior. (shrink)