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      The brain dynamics of linguistic computation

      research-article
      Frontiers in Psychology
      Frontiers Media S.A.
      neural oscillations, biolinguistics, syntax, dynome, theta, alpha, beta, gamma

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          Abstract

          Neural oscillations at distinct frequencies are increasingly being related to a number of basic and higher cognitive faculties. Oscillations enable the construction of coherently organized neuronal assemblies through establishing transitory temporal correlations. By exploring the elementary operations of the language faculty—labeling, concatenation, cyclic transfer—alongside neural dynamics, a new model of linguistic computation is proposed. It is argued that the universality of language, and the true biological source of Universal Grammar, is not to be found purely in the genome as has long been suggested, but more specifically within the extraordinarily preserved nature of mammalian brain rhythms employed in the computation of linguistic structures. Computational-representational theories are used as a guide in investigating the neurobiological foundations of the human “cognome”—the set of computations performed by the nervous system—and new directions are suggested for how the dynamics of the brain (the “dynome”) operate and execute linguistic operations. The extent to which brain rhythms are the suitable neuronal processes which can capture the computational properties of the human language faculty is considered against a backdrop of existing cartographic research into the localization of linguistic interpretation. Particular focus is placed on labeling, the operation elsewhere argued to be species-specific. A Basic Label model of the human cognome-dynome is proposed, leading to clear, causally-addressable empirical predictions, to be investigated by a suggested research program, Dynamic Cognomics. In addition, a distinction between minimal and maximal degrees of explanation is introduced to differentiate between the depth of analysis provided by cartographic, rhythmic, neurochemical, and other approaches to computation.

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          Most cited references118

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          Mechanisms of gamma oscillations.

          Gamma rhythms are commonly observed in many brain regions during both waking and sleep states, yet their functions and mechanisms remain a matter of debate. Here we review the cellular and synaptic mechanisms underlying gamma oscillations and outline empirical questions and controversial conceptual issues. Our main points are as follows: First, gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition. Second, gamma oscillations are short-lived and typically emerge from the coordinated interaction of excitation and inhibition, which can be detected as local field potentials. Third, gamma rhythm typically concurs with irregular firing of single neurons, and the network frequency of gamma oscillations varies extensively depending on the underlying mechanism. To document gamma oscillations, efforts should be made to distinguish them from mere increases of gamma-band power and/or increased spiking activity. Fourth, the magnitude of gamma oscillation is modulated by slower rhythms. Such cross-frequency coupling may serve to couple active patches of cortical circuits. Because of their ubiquitous nature and strong correlation with the "operational modes" of local circuits, gamma oscillations continue to provide important clues about neuronal population dynamics in health and disease.
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            Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks.

            Gamma frequency oscillations are thought to provide a temporal structure for information processing in the brain. They contribute to cognitive functions, such as memory formation and sensory processing, and are disturbed in some psychiatric disorders. Fast-spiking, parvalbumin-expressing, soma-inhibiting interneurons have a key role in the generation of these oscillations. Experimental analysis in the hippocampus and the neocortex reveals that synapses among these interneurons are highly specialized. Computational analysis further suggests that synaptic specialization turns interneuron networks into robust gamma frequency oscillators.
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              Über das Elektrenkephalogramm des Menschen

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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                13 October 2015
                2015
                : 6
                : 1515
                Affiliations
                Division of Psychology and Language Sciences, University College London London, UK
                Author notes

                Edited by: Antonio Benítez-Burraco, University of Huelva, Spain

                Reviewed by: Aritz Irurtzun, Centre de recherche sur la langue et les textes basques, France; Timothy Michael Ellmore, The City College of New York, USA; Constantina Theofanopoulou, Universitat de Barcelona, Spain

                *Correspondence: Elliot Murphy, Division of Psychology and Language Sciences, University College London, Chandler House, 2 Wakefield Street, London WC1N 1PF, UK elliotmurphy91@ 123456gmail.com

                This article was submitted to Language Sciences, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2015.01515
                4602109
                26528201
                bdd99d2f-ed5d-4055-af6e-4f2eced39aeb
                Copyright © 2015 Murphy.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 July 2015
                : 18 September 2015
                Page count
                Figures: 4, Tables: 0, Equations: 1, References: 222, Pages: 19, Words: 17458
                Funding
                Funded by: Economic and Social Research Council 10.13039/501100000269
                Categories
                Psychology
                Hypothesis and Theory

                Clinical Psychology & Psychiatry
                neural oscillations,biolinguistics,syntax,dynome,theta,alpha,beta,gamma
                Clinical Psychology & Psychiatry
                neural oscillations, biolinguistics, syntax, dynome, theta, alpha, beta, gamma

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