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This original volume examines the interface between attentional and linguistic processes in humans from the perspectives of psycholinguistics and cognitive science. It systematically explores how autonomy and automaticity are reflected during language processing in a variety of situations. A true, mechanistic explanation of how humans process language would require a complete understanding of the interface language has with important cognitive systems like attention, memory, as well as with vision. Interdisciplinary work in this area has so far not been able to generate a substantial theoretical position on this issue. This volume therefore looks at different language processing domains, such as speaking, listening, reading, as well as discourse and text processing, to evaluate the role attention plays in such performances; and also at how often linguistic inputs affect attentional processing. In this sense, it proposes that the attention--language interface is bidirectional. It also considers applied issues like language disorders, bilingualism and illiteracy, where the attention--language interface seems especially relevant as a theoretical apparatus for research investigations. Therefore, this volume brings closer theoretical explanations from the language sciences and cognitive sciences. It argues that language processing is multi-modal in its very essence and many conceptual structures in language evolve out of a complex interplay among participating cognitive systems such as attention and memory, supported by vision and audition.
This original volume examines the interface between attentional and linguistic processes in humans from the perspectives of psycholinguistics and cognitive science. It systematically explores how autonomy and automaticity are reflected during language processing in a variety of situations. A true, mechanistic explanation of how humans process language would require a complete understanding of the interface language has with important cognitive systems like attention, memory, as well as with vision. Interdisciplinary work in this area has so far not been able to generate a substantial theoretical position on this issue. This volume therefore looks at different language processing domains, such as speaking, listening, reading, as well as discourse and text processing, to evaluate the role attention plays in such performances; and also at how often linguistic inputs affect attentional processing. In this sense, it proposes that the attention--language interface is bidirectional. It also considers applied issues like language disorders, bilingualism and illiteracy, where the attention--language interface seems especially relevant as a theoretical apparatus for research investigations. Therefore, this volume brings closer theoretical explanations from the language sciences and cognitive sciences. It argues that language processing is multi-modal in its very essence and many conceptual structures in language evolve out of a complex interplay among participating cognitive systems such as attention and memory, supported by vision and audition.
Author : Ronald A. Cohen Publisher : Springer Science & Business Media Page : 548 pages File Size : 36,68 MB Release : 2013-03-09 Category : Medical ISBN : 1441974636
As you read this, you are probably unaware of how your left foot feels in your shoe. Although your brain was receiving sensory input from this foot, you were not aware of your foot because you were reading and not attending to it. However, this discussion led you to move your attention to your left foot and to become aware of it. When I was a medical student, I saw a patient who was unaware of both the left side of his body and the left side of his environment. Unlike people in normal health, who when instructed can become aware of the left side of the body; this patient could not be made aware of his left arm or the left side of his environment. The patient's defect was so profound that despite being hungry he was unaware of food on the left side of his tray and did not recognize that his left arm belonged to him. This left-sided body and spatial unawareness could not be accounted for by a primary sensory defect. Although I knew that this man suffered from a large right-hemisphere stroke, I did not know the brain mechanisms that accounted for this profound example of unawareness. It was not until I had almost completed my neurology training in 1969 that I was able to return to this problem. At that time, most neuropsychological research was directed at understanding the language disorders associated with brain disease.
In the burdened scenes of everyday life, our brains must select from among many competing inputs for perceptual synthesis - so that only the most relevant receive full attention and irrelevant (distracting) information is suppressed. At the same time, we must remain responsive to salient events outside our current focus of attention - and balancing these two processing modes is a fundamental task our brain constantly needs to solve. Both the physical saliency of a stimulus, as well as top-down predictions about imminent sensations crucially influence attentional selection and consequently the response to unexpected events. Research over recent decades has identified two separate brain networks involved in predictive top-down control and reorientation to unattended events (or oddball stimuli): the dorsal and ventral fronto-parietal attention systems of the human brain. Moreover, specific electrophysiological brain responses are known to characterize attentional orienting as well as the processing of deviant stimuli. However, many key questions are outstanding. What are the exact functional differences between these cortical attention systems? How are they lateralised in the two hemispheres? How do top-down and bottom-up signals interact to enable flexible attentional control? How does structural damage to one system affect the functionality of the other in brain damaged patients? Are there sensory-specific and supra-modal attentional systems in the brain? In addition to these questions, it is now accepted that brain responses are not only affected by the saliency of external stimuli, but also by our expectations about sensory inputs. How these two influences are balanced, and how predictions are formed in cortical networks, or generated on the basis of experience-dependent learning, are intriguing issues. In this Research Topic, we aim to collect innovative contributions that shed further light on the (cortical) mechanisms of attentional control in the human brain. In particular, we would like to encourage submissions that investigate the behavioural correlates, functional anatomy or electrophysiological markers of attentional selection and reorientation. Special emphasis will be given to studies investigating the context-sensitivity of these attentional processes in relation to prior expectations, trial history, contextual cues or physical saliency. We would like to encourage submissions employing different research methods (psychophysical recordings, neuroimaging techniques such as fMRI, MEG, EEG or ECoG, as well as neurostimulation methods such as TMS or tDCS) in healthy volunteers or neurological patients. Computational models and animal studies are also welcome. Finally, we also welcome submission of meta-analyses and reviews articles that provide new insights into, or conclusions about recent work in the field.
This work concerns the investigation of the neuronal mechanisms at the basis of language acquisition and processing, and the complex interactions of language and attention processes in the human brain. In particular, this research was motivated by two sets of existing neurophysiological data which cannot be reconciled on the basis of current psycholinguistic accounts: on the one hand, the N400, a robust index of lexico-semantic processing which emerges at around 400ms after stimulus onset in attention demanding tasks and is larger for senseless materials (meaningless pseudowords) than for matched meaningful stimuli (words); on the other, the more recent results on the Mismatch Negativity (MMN, latency 100-250ms), an early automatic brain response elicited under distraction which is larger to words than to pseudowords. We asked what the mechanisms underlying these differential neurophysiological responses may be, and whether attention and language processes could interact so as to produce the observed brain responses, having opposite magnitude and different latencies. We also asked questions about the functional nature and anatomical characteristics of the cortical representation of linguistic elements. These questions were addressed by combining neurocomputational techniques and neuroimaging (magneto-encephalography, MEG) experimental methods. Firstly, a neurobiologically realistic neural-network model composed of neuron-like elements (graded response units) was implemented, which closely replicates the neuroanatomical and connectivity features of the main areas of the left perisylvian cortex involved in spoken language processing (i.e., the areas controlling speech output - left inferior-prefrontal cortex, including Broca's area - and the main sensory input - auditory - areas, located in the left superior-temporal lobe, including Wernicke's area). Secondly, the model was used to simulate early word acquisition processes by means of a Hebbian correlation learning rule (which reflects known synaptic plasticity mechanisms of the neocortex). The network was "taught" to associate pairs of auditory and articulatory activation patterns, simulating activity due to perception and production of the same speech sound: as a result, neuronal word representations distributed over the different cortical areas of the model emerged. Thirdly, the network was stimulated, in its "auditory cortex", with either one of the words it had learned, or new, unfamiliar pseudoword patterns, while the availability of attentional resources was modulated by changing the level of non-specific, global cortical inhibition. In this way, the model was able to replicate both the MMN and N400 brain responses by means of a single set of neuroscientifically grounded principles, providing the first mechanistic account, at the cortical-circuit level, for these data. Finally, in order to verify the neurophysiological validity of the model, its crucial predictions were tested in a novel MEG experiment investigating how attention processes modulate event-related brain responses to speech stimuli. Neurophysiological responses to the same words and pseudowords were recorded while the same subjects were asked to attend to the spoken input or ignore it. The experimental results confirmed the model's predictions; in particular, profound variability of magnetic brain responses to pseudowords but relative stability of activation to words as a function of attention emerged. While the results of the simulations demonstrated that distributed cortical representations for words can spontaneously emerge in the cortex as a result of neuroanatomical structure and synaptic plasticity, the experimental results confirm the validity of the model and provide evidence in support of the existence of such memory circuits in the brain. This work is a first step towards a mechanistic account of cognition in which the basic atoms of cognitive processing (e.g., words, objects, faces) are represented in the brain as discrete and distributed action-perception networks that behave as closed, independent systems.
Research into gestures represents a multifaceted field comprising a wide range of disciplines and research topics, varying methods and approaches, and even different species such as humans, apes and monkeys. The aim of this volume (originally published as a Special Issue of Gesture 5:1/2 (2005)) is to bring together the research in gestural communication in both nonhuman and human primates and to explore the potential of a comparative approach and its contribution to the question of an evolutionary scenario in which gestures play a significant role. The topics covered include the spontaneous natural gesture use in social groups of apes and monkeys, but also during interactions with humans, gestures of preverbal children and their interaction with language, speech-accompanying gestures in humans as well as the use of sign-language in human and nonhuman great apes. It addresses researchers with a background in Psychology, Primatology, Linguistics, and Anthropology, but it might also function as an introduction and a documentation state of the art for a wider less specialised audience which is fascinated by the role gestures might have played in the evolution of human language.
For nearly four centuries, our understanding of human development has been controlled by the debate between nativism and empiricism. Nowhere has the contrast between these apparent alternatives been sharper than in the study of language acquisition. However, as more is learned about the details of language learning, it is found that neither nativism nor empiricism provides guidance about the ways in which complexity arises from the interaction of simpler developmental forces. For example, the child's first guesses about word meanings arise from the interplay between parental guidance, the child's perceptual preferences, and neuronal support for information storage and retrieval. As soon as the shape of the child's lexicon emerges from these more basic forces, an exploration of "emergentism" as a new alternative to nativism and empiricism is ready to begin. This book presents a series of emergentist accounts of language acquisition. Each case shows how a few simple, basic processes give rise to new levels of language complexity. The aspects of language examined here include auditory representations, phonological and articulatory processes, lexical semantics, ambiguity processing, grammaticality judgment, and sentence comprehension. The approaches that are invoked to account formally for emergent patterns include neural network theory, dynamic systems, linguistic functionalism, construction grammar, optimality theory, and statistically-driven learning. The excitement of this work lies both in the discovery of new emergent patterns and in the integration of theoretical frameworks that can formalize the theory of emergentism.
Digital systems, such as phones, computers and PDAs, place continuous demands on our cognitive and perceptual systems. They offer information and interaction opportunities well above our processing abilities, and often interrupt our activity. Appropriate allocation of attention is one of the key factors determining the success of creative activities, learning, collaboration, and many other human pursuits. This book presents research related to human attention in digital environments. Original contributions by leading researchers cover the conceptual framework of research aimed at modelling and supporting human attentional processes, the theoretical and software tools currently available, and various application areas. The authors explore the idea that attention has a key role to play in the design of future technology and discuss how such technology may continue supporting human activity in environments where multiple devices compete for people's limited cognitive resources.
This volume presents an up-to-date review of developmental aspects of human attention by leading researchers and theorists. The papers included in the first section consider the ways in which newborns are pretuned to visual, auditory, linguistic, and social features of their environment, as well as how selectivity to these features changes in the first year of life. The following section examines properties of the visual and auditory world that are attention-getting for children. Developmental increases in capacity and strategy are also examined in this section through the study of perception, memory, problem-solving and language. Section III explores several ways in which selective processing can fail in development (e.g. autism, hyperactivity, and psychopathy) while Section IV reports on those aspects of selectivity that are lost (and preserved) in the aging process.
In this book, internationally recognised experts from child development, computer science, linguistics, neuroscience, primatology and robotics discuss the role of the mirror neuron system for the recognition of hand actions and the evolutionary basis for the brain mechanisms that support language.