DOCSLIB.ORG

Neural Bases of Variable Binding in Symbolic Representations: Experimental and Modelling Exploration

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Neural Bases of Variable Binding in Symbolic Representations: Experimental and Modelling Exploration Neural bases of variable binding in symbolic representations : experimental and modelling exploration Martín Pérez-Guevara To cite this version: Martín Pérez-Guevara. Neural bases of variable binding in symbolic representations : experimental and modelling exploration. Neurons and Cognition [q-bio.NC]. Université Sorbonne Paris Cité, 2017. English. NNT : 2017USPCB082. tel-02134664 HAL Id: tel-02134664 https://tel.archives-ouvertes.fr/tel-02134664 Submitted on 20 May 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITÉ PARIS DESCARTES École doctorale N° 158 (ED3C) Cerveau-Cognition-Comportement Neurospin / Unicog U-992 / Équipe de neuroimagerie linguistique Bases neuronales de binding dans des représentations symboliques Exploration expérimentale et de modélisation Par Martín Pérez-Guevara Spécialité de doctorat : Neurosciences cognitives et informatiques Dirigée par Christophe Pallier Présentée et soutenue publiquement le 29 Novembre 2017 Devant un jury composé de : Dr. Xavier ALARIO Rapporteur Directeur de recherche, Universite Centre Saint-Charles. Marseille, France. Dr. Sander BOHTE Rapporteur Chargé de recherche, CWI. Amsterdam, The Netherlands. Dr. Emmanuel DUPOUX Examinateur Directeur de recherche, École des Hautes Etudes en Sciences Sociales. Paris, France. Dr. Marc DE KAMPS Examinateur, Président du jury Professeur, University of Leeds. Dr. Christophe PALLIER Directeur de thèse Directeur de recherche INSERM/CEA/SAC/DSV/DRM/Neurospin center. Saclay, France. martín pérez-guevara UNIVERSITY OF PARIS DESCARTES Doctoral School N° 158 (ED3C) Brain-Cognition-Behavior Neurospin / Unicog U-992 / Language neuroimaging team Neural bases of variable binding in symbolic representations Experimental and modelling exploration By Martín Pérez-Guevara PhD Specialty : Cognitive and Computational Neuroscience Directed by Christophe Pallier Presented and defended publicly the 29th of November 2017 Jury composition : Dr. Xavier ALARIO Reviewer Research Director, Universite Centre Saint-Charles. Marseille, France. Dr. Sander BOHTE Reviewer Research Associate, CWI. Amsterdam, The Netherlands. Dr. Emmanuel DUPOUX Examiner Research Director, École des Hautes Etudes en Sciences Sociales. Paris, France. Dr. Marc DE KAMPS Examiner, Jury President Professor, University of Leeds. Dr. Christophe PALLIER Doctoral advisor Research Director INSERM/CEA/SAC/DSV/DRM/Neurospin center. Saclay, France. Acknowledgements I want to thank Christophe Pallier for giving me the opportunity to develop my scientic thinking under his supervision, for his intellectual advice and the great mood he brought to the lab everyday with his insights and jokes. Also a substantial part of this work was made possible thanks to an intense exchange with Marc De Kamps, I am deeply grateful for all the dedication, supervision and assistance he oered. I want to thank too the reviewers, Xavier Alario and Sander Bohte, and the examiner, Emmanuel Dupoux, for kindly agreeing to take the time to evaluate this work. In addition I want to thank Bertrand Thirion and Gaël Varoquaux, that gave me the opportunity to grow as a software developer and scientist in the open source and open science community, it was a great complementary experience to my PhD. I thank Stanislas Dehaene, for welcoming me in the Unicog lab and for the several interesting discussions we had. I also want to mention Paul Smolensky for the brief but rich exchanges we had. Thanks to him the rst projects of this PhD got kickstarted. I can not forget to mention my partner Elodie Doger de Speville, that gave me an incredible amount of personal and professional support in the worst and best moments, specially stoically in the worst. Several other colleagues in the lab, Florent Meyniel, Matthew Nelson and Thomas Hannagan, and several friends, Andres Hoyos, Darinka Trubutschek and Valentina Borghesani, kindly assisted this work as well and I am thankful to you all for your support. Considering the experimental part of this work, the Manip radio team were very helpful, I dont imagine how the acquisitions would have gone without their constant assistance. I thank you too. Of course I also thank all other friends and colleagues in Unicog and Parietal, that in one way or another, contributed to this work or enriched with their company my PhD experience. martín pérez-guevara neural bases of variable binding in symbolic representations Doctoral School N° 158 (ED3C) Brain-Cognition-Behavior Résumé – Bases neuronales de binding dans des représentations symboliques Le travail présenté dans cette thèse fait partie d’un programme de recherche qui vise à comprendre comment le cerveau traite et représente les structures symboliques dans des domaines comme le langage ou les mathématiques. L’existence de structures composées de sous-éléments, tel que les morphèmes, les mots ou les phrases est très fortement suggérée par les analyses linguistiques et les données expérimentale de la psycholinguistique. En revanche, l’implémentation neuronale des opérations et des représentations qui permettent la nature combinatoire du langage reste encore essentiellement inconnue. Certaines opérations de composition élémentaires permettant une représentation interne stable des objets dans le cortex sensoriel, tel que la reconnaissance hiérarchique des formes, sont aujourd’hui mieux comprises[120]. En revanche, les modèles concernant les opérations de liaisons(binding) nécessaires à la construction de structures symboliques complexes et possiblement hiérarchiques, pour lesquelles des manipulations précises des composants doit être possible, sont encore peu testés de façon expérimentale et incapables de prédire les signaux en neuroimagerie. Combler le fossé entre les données de neuroimagerie expérimentale et les modèles proposés pour résoudre le problème de binding est une étape cruciale pour mieux comprendre les processus de traitements et de représentation des structures symboliques. Au regard de ce problème, l’objectif de ce travail était d’identier et de tester expérimentalement les théories basées sur des réseaux neuronaux, capables de traiter des structures symboliques pour lesquelles nous avons pu établir des prédictions testables, contre des mesures existantes de neuroimagerie fMRI et ECoG dérivées de tâches de traitement du langage. Nous avons identié deux approches de modélisation pertinentes. La première approche s’inscrit dans le contexte des architectures symboliques vectorielles (VSA), qui propose une modélisation mathématique précise des opérations nécessaires pour représenter les structures dans des réseaux neuronaux articiels. C’est le formalisme de Paul Smolensky[172], utilisant des produit tensoriel (TPR) qui englobe la plupart des architectures VSA précédemment proposées comme, par exemple, les modèles d’Activation synchrones[170], les représentations réduites holographique[158], et les mémoires auto-associatives récursives[35]. La seconde approche que nous avons identiée est celle du "Neural Blackboard Architecture" (NBA), développée par Marc De Kamps et Van der Velde[187]. Elle se démarque des autres en proposant une implémentation des mécanismes associatifs à travers des circuits formés par des assemblages de réseaux neuronaux. L’architecture du Blackboard repose sur des changements de connectivité transitoires des circuits d’assemblages neuronaux, de sorte que le potentiel de l’activité neurale permise par les mécanismes de mémoire de travail après un processus de liaison, représente implicitement les structures symboliques. Dans la première partie de cette thèse, nous détaillons la théorie derrière chacun de ces modèles et les comparons, du point de vue du problème de binding. Les deux modèles sont capables de répondre à la plupart des dés théoriques posés par la modélisation neuronale des structures symboliques, notamment ceux présentées par Jackendo[99]. Néanmoins, ces deux classes de modèles sont très diérentes. Le TPR de Smolenky s’appuie principalement sur des considérations spatiales statiques d’unités neurales articielles, avec des représentations explicites complètement distribuées et spatialement stables mises en œuvre par des vecteurs. La NBA en revanche, considère les dynamiques temporelles de décharge de neurones articiels, avec des représentations spatialement instables implémentées par des assemblages neuronaux. Dans la deuxième partie de la thèse, nous testons empiriquement le principe de superposition qui stipule que l’activité martín pérez-guevara associé à une structure est la somme des activités de ses parties. Ceci est une des hypothèses les plus cruciales du TPR de Smolensky. An d’obtenir un ensemble de données pertinent pour tester ce principe, nous avons créé une expérience IRMf dans laquelle les participants lisaient ou entendaient des pseudomots composés de deux syllables CV. Nous avons employé un approche de décodage de l’activité BOLD an d’analyser comment ces bisyllabes sont encodées dans diverses régions cérébrale. Nous avons obtenu de bon scores de classication dans certaines régions sensorielles et nous
Load more

Recommended publications
  • Time-Frequency Based Phase-Amplitude Coupling
    www.nature.com/scientificreports OPEN Time-Frequency Based Phase- Amplitude Coupling Measure For Neuronal Oscillations Received: 17 September 2018 Tamanna T. K. Munia & Selin Aviyente Accepted: 9 August 2019 Oscillatory activity in the brain has been associated with a wide variety of cognitive processes including Published: xx xx xxxx decision making, feedback processing, and working memory. The high temporal resolution provided by electroencephalography (EEG) enables the study of variation of oscillatory power and coupling across time. Various forms of neural synchrony across frequency bands have been suggested as the mechanism underlying neural binding. Recently, a considerable amount of work has focused on phase- amplitude coupling (PAC)– a form of cross-frequency coupling where the amplitude of a high frequency signal is modulated by the phase of low frequency oscillations. The existing methods for assessing PAC have some limitations including limited frequency resolution and sensitivity to noise, data length and sampling rate due to the inherent dependence on bandpass fltering. In this paper, we propose a new time-frequency based PAC (t-f PAC) measure that can address these issues. The proposed method relies on a complex time-frequency distribution, known as the Reduced Interference Distribution (RID)-Rihaczek distribution, to estimate both the phase and the envelope of low and high frequency oscillations, respectively. As such, it does not rely on bandpass fltering and possesses some of the desirable properties of time-frequency distributions such as high frequency resolution. The proposed technique is frst evaluated for simulated data and then applied to an EEG speeded reaction task dataset. The results illustrate that the proposed time-frequency based PAC is more robust to varying signal parameters and provides a more accurate measure of coupling strength.
    [Show full text]
  • The Scarab 2010
    THE SCARAB 2010 28th Edition Oklahoma City University 2 THE SCARAB 2010 28th Edition Oklahoma City University’s Presented by Annual Anthology of Prose, Sigma Tau Delta, Poetry, and Artwork Omega Phi Chapter Editors: Ali Cardaropoli, Kenneth Kimbrough, Emma Johnson, Jake Miller, and Shana Barrett Dr. Terry Phelps, Sponsor Copyright © The Scarab 2010 All rights reserved 3 The Scarab is published annually by the Oklahoma City University chapter of Sigma Tau Delta, the International English Honor Society. Opinions and beliefs expressed herein do not necessarily reflect those of the university, the chapter, or the editors. Submissions are accepted from students, faculty, staff, and alumni. Address all correspondence to The Scarab c/o Dr. Terry Phelps, 2501 N. Blackwelder, Oklahoma City, OK 73106, or e-mail [email protected]. The Scarab is not responsible for returning submitted work. All submissions are subject to editing. 4 THE SCARAB 2010 POETRY NONFICTION We Hold These Truths By Neilee Wood by Spencer Hicks ................................. 8 Fruition ...................................................... 41 It‘s Too Early ............................................ 42 September 1990 Skin ........................................................... 42 by Sheray Franklin .............................. 10 By Abigail Keegan Fearless with Baron Birding ...................................................... 43 by Terre Cooke-Chaffin ........................ 12 By Daniel Correa Inevitable Ode to FDR ..............................................
    [Show full text]
  • Jarosek Copy.Fm
    Cybernetics and Human Knowing. Vol. 27 (2020), no. 3, pp. 33–63 Knowing How to Be: Imitation, the Neglected Axiom Stephen Laszlo Jarosek1 The concept of imitation has been around for a very long time, and many conversations have been had about it, from Plato and Aristotle to Piaget and Freud. Yet despite this pervasive acknowledgement of its relevance in areas as diverse as memetics, culture, child development and language, there exists little appreciation of its relevance as a fundamental principle in the semiotic and life sciences. Reframing imitation in the context of knowing how to be, within the framework of semiotic theory, can change this, thus providing an interpretation of paradigmatic significance. However, given the difficulty of establishing imitation as a fundamental principle after all these centuries since Plato, I turn the question around and approach it from a different angle. If imitation is to be incorporated into semiotic theory and the Peircean categories as axiomatic, then what pathologies manifest when imitation is disabled or compromised? I begin by reviewing the reasons for regarding imitation as a fundamental principle. I then review the evidence with respect to autism and schizophrenia as imitation deficit. I am thus able to consolidate my position that imitation and knowing how to be are integral to agency and pragmatism (semiotic theory), and should be embraced within an axiomatic framework for the semiotic and life sciences. Keywords: autism; biosemiotics; imitation; neural plasticity; Peirce; pragmatism The concept of imitation has been around for a very long time, and many conversations have been had about it, from Plato and Aristotle to Piaget and Freud.
    [Show full text]
  • Wikipedia.Org/W/Index.Php?Title=Neural Oscillation&Oldid=898604092"
    Neural oscillation Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms within individual neurons or by interactions between neurons. In individual neurons, oscillations can appear either as oscillations in membrane potential or as rhythmic patterns of action potentials, which then produce oscillatory activation of post-synaptic neurons. At the level of neural ensembles, synchronized activity of large numbers of neurons can give rise to macroscopic oscillations, which can be observed in an electroencephalogram. Oscillatory activity in groups of neurons generally arises from feedback connections between the neurons that result in the synchronization of their firing patterns. The interaction between neurons can give rise to oscillations at a different frequency than the firing frequency of individual neurons. A well-known example of macroscopic neural oscillations is alpha activity. Neural oscillations were observed by researchers as early as 1924 (by Hans Berger). More than 50 years later, intrinsic oscillatory behavior was encountered in vertebrate neurons, but its functional role is still not fully understood.[1] The possible roles of neural oscillations include feature binding, information transfer mechanisms and the generation of rhythmic motor output. Over the last decades more insight has been gained, especially with advances in brain imaging. A major area of research in neuroscience involves determining how oscillations are generated and what their roles are. Oscillatory activity in the brain is widely observed at different levels of organization and is thought to play a key role in processing neural information.
    [Show full text]
  • Structured Sequence Processing and Combinatorial Binding: Neurobiologically Royalsocietypublishing.Org/Journal/Rstb and Computationally Informed Hypotheses
    Structured sequence processing and combinatorial binding: neurobiologically royalsocietypublishing.org/journal/rstb and computationally informed hypotheses Ryan Calmus, Benjamin Wilson, Yukiko Kikuchi and Christopher I. Petkov Review Newcastle University Medical School, Framlington Place, Newcastle upon Tyne, UK RC, 0000-0002-7826-9355; BW, 0000-0003-2043-7771; YK, 0000-0002-0365-0397; Cite this article: Calmus R, Wilson B, Kikuchi CIP, 0000-0002-4932-7907 Y, Petkov CI. 2019 Structured sequence processing and combinatorial binding: Understanding how the brain forms representations of structured information distributed in time is a challenging endeavour for the neuroscientific neurobiologically and computationally community, requiring computationally and neurobiologically informed informed hypotheses. Phil. Trans. R. Soc. B approaches. The neural mechanisms for segmenting continuous streams of sen- 375: 20190304. sory input and establishing representations of dependencies remain largely http://dx.doi.org/10.1098/rstb.2019.0304 unknown, as do the transformations and computations occurring between the brain regions involved in these aspects of sequence processing. We propose a blueprint for a neurobiologically informed and informing computational Accepted: 4 November 2019 model of sequence processing (entitled: Vector-symbolic Sequencing of Binding INstantiating Dependencies, or VS-BIND). This model is designed to support One contribution of 16 to a theme issue the transformation of serially ordered elements in sensory sequences into struc- ‘Towards mechanistic models of meaning tured representations of bound dependencies, readily operates on multiple composition’. timescales, and encodes or decodes sequences with respect to chunked items wherever dependencies occur in time. The model integrates established vector symbolic additive and conjunctive binding operators with neurobiologically Subject Areas: plausible oscillatory dynamics, and is compatible with modern spiking neural neuroscience, cognition, computational biology network simulation methods.
    [Show full text]
  • Effects of Transcranial Magnetic Stimulation Therapy on Evoked And
    brain sciences Article Effects of Transcranial Magnetic Stimulation Therapy on Evoked and Induced Gamma Oscillations in Children with Autism Spectrum Disorder Manuel F. Casanova 1,2, Mohamed Shaban 3, Mohammed Ghazal 4 , Ayman S. El-Baz 5, Emily L. Casanova 1, Ioan Opris 6 and Estate M. Sokhadze 1,2,* 1 Department of Biomedical Sciences, University of South Carolina School of Medicine-Greenville, 701 Grove Rd., Greenville, SC 29605, USA; [email protected] (M.F.C.); [email protected] (E.L.C.) 2 Department of Psychiatry & Behavioral Sciences, University of Louisville, 401 E Chestnut Str., #600, Louisville, KY 40202, USA 3 Department of Electrical and Computer Engineering, University of South Alabama, Mobile, AL 36688, USA; [email protected] 4 BioImaging Research Lab, Electrical and Computer Engineering Abu Dhabi University, Abu Dhabi 59911, UAE; [email protected] 5 Department of Bioengineering, University of Louisville, Louisville, KY 40202, USA; [email protected] 6 School of Medicine, University of Miami, Miami, FL 33136, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-(502)-294-6522 Received: 30 May 2020; Accepted: 30 June 2020; Published: 3 July 2020 Abstract: Autism spectrum disorder (ASD) is a behaviorally diagnosed neurodevelopmental condition of unknown pathology. Research suggests that abnormalities of elecltroencephalogram (EEG) gamma oscillations may provide a biomarker of the condition. In this study, envelope analysis of demodulated waveforms for evoked and induced gamma oscillations in response to Kanizsa figures in an oddball task were analyzed and compared in 19 ASD and 19 age/gender-matched neurotypical children. The ASD group was treated with low frequency transcranial magnetic stimulation (TMS), (1.0 Hz, 90% motor threshold, 18 weekly sessions) targeting the dorsolateral prefrontal cortex.
    [Show full text]
  • Fast Hebbian Plasticity Explains Working Memory and Neural Binding
    bioRxiv preprint doi: https://doi.org/10.1101/334821; this version posted May 30, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Fast Hebbian Plasticity explains Working Memory and Neural Binding Florian Fiebig1, Pawel Herman1, and Anders Lansner1,2 1 Lansner Laboratory, Department of Computational Science and Technology, Royal Institute of Technology, 10044 Stockholm, Sweden, 2 Department of Mathematics, Stockholm University, 10691 Stockholm, Sweden Abstract We have extended a previous spiking neural network model of prefrontal cortex with fast Hebbian plasticity to also include interactions between short-term and long-term memory stores. We investigated how prefrontal cortex could bind and maintain multi-modal long-term memory representations by simulating three cortical patches in macaque brain, i.e. in prefrontal cortex together with visual and auditory temporal cortex. Our simulation results demonstrate how simultaneous brief multi-modal activation of items in long- term memory could build a temporary joint cell assembly linked via prefrontal cortex. The latter can then activate spontaneously and thereby reactivate the associated long-term representations. Cueing one long-term memory item rapidly pattern completes the associated un-cued item via prefrontal cortex. The short-term memory network flexibly updates as new stimuli arrive thereby gradually over- writing older representation. In a wider context, this working memory model suggests a novel solution to the “binding problem”, a long-standing and fundamental issue in cognitive neuroscience.
    [Show full text]
  • Stephen Grossberg
    STEPHEN GROSSBERG Wang Professor of Cognitive and Neural Systems Professor of Mathematics, Psychology, and Biomedical Engineering Director, Center for Adaptive Systems Boston University 677 Beacon Street Boston, MA 02215 (617) 353-7857 (617) 353-7755 [email protected] http://cns.bu.edu/~steve HIGH SCHOOL: Stuyvesant High School, Manhattan First in Class of 1957 COLLEGE: Dartmouth College, B.A. First in Class of 1961 A.P. Sloan National Scholar Phi Beta Kappa Prize NSF Undergraduate Research Fellow GRADUATE WORK: Stanford University, M.S., 1961-1964 NSF Graduate Fellowship Woodrow Wilson Graduate Fellowship Rockefeller University, Ph.D., 1964-1967 Rockefeller University Graduate Fellowship POST-GRADUATE ACTIVITIES: 1. Assistant Professor of Applied Mathematics, M.I.T., 1967-1969. 2. Senior Visiting Fellow of the Science Research Council of England, 1969. 3. Norbert Wiener Medal for Cybernetics, 1969. 4. A.P. Sloan Research Fellow, 1969-1971. 5. Associate Professor of Applied Mathematics, M.I.T., 1969-1975. 1 6. Professor of Mathematics, Psychology, and Biomedical Engineering, Boston University, 1975-. 7. Invited lectures in Australia, Austria, Belgium, Bulgaria, Canada, Denmark, England, Finland, France, Germany, Greece, Hong Kong, Israel, Italy, Japan, The Netherlands, Norway, Qatar, Scotland, Singapore, Spain, Sweden, Switzerland, and throughout the United States. 8. Editor of the journals Adaptive Behavior; Applied Intelligence; Behavioral and Brain Sciences (Associate Editor for Computational Neuroscience); Autism Open Access Journal; Behavioural
    [Show full text]
  • Oscillations in Working Memory and Neural Binding: a Mechanism for Multiple Memories and Their Interactions
    bioRxiv preprint doi: https://doi.org/10.1101/263277; this version posted February 12, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Oscillations in working memory and neural binding: a mechanism for multiple memories and their interactions Jason E. Pina1*, Mark Bodner2, Bard Ermentrout1 1 Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America 2 MIND Research Institute, Santa Ana, California, United States of America * [email protected] Abstract Neural oscillations have been implicated in many different basic brain and cognitive processes. Oscillatory activity has been suggested to play a role in neural binding, and more recently in the maintenance of information in working memory. This latter work has focused primarily on oscillations in terms of providing a \code" in working memory. However, oscillations may additionally play a fundamental role in essential properties and behaviors that neuronal networks must exhibit in order to produce functional working memory. In the present work, we present a biologically plausible working memory model and demonstrate that specific types of stable oscillatory dynamics may play a critical role in facilitating properties of working memory, including transitions between different memory states and a multi-item working memory capacity. We also show these oscillatory dynamics may facilitate and provide an underlying mechanism to enable a range of different types of binding in the context of working memory. Author summary Working memory is a form of short-term memory that is limited in capacity to perhaps 3 { 5 items.
    [Show full text]
  • Wyrd Ecology
    Wyrd Ecology by Barbara Jane Davy A thesis presented to the University of Waterloo in fulfilment of the thesis requirement for the degree of Doctor of Philosophy in Environment, Resources and Sustainability Waterloo, Ontario, Canada, 2021 © Barbara Jane Davy 2021 Examining Committee Membership The following served on the Examining Committee for this thesis. The decision of the Examining Committee is by majority vote. External Examiner SARAH PIKE Professor Supervisor STEPHEN QUILLEY Associate Professor Internal Member SARAH WOLFE Associate Professor Internal-external Member DOUGLAS COWAN Professor Other Members DANIEL MCCARTHY Associate Professor SHELDON SOLOMON Professor ii Author’s Declaration I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. iii Abstract This work investigates what motivates environmental action through developing a case study on how ecological conscience forms in the ritual practices of a new religious movement. I conducted a two-year ethnographic study with a community of contemporary Heathens in eastern and southwestern Ontario to investigate how ritual practices are related to the formation of conscience in the group. I used participant observation and interviews to investigate how ritual is related to conscience formation, and how it can generate a sense of obligation to others, including nonhuman others. I draw on social psychology (especially terror management theory), cognitive science, anthropology, ritual studies, and philosophy to describe and interpret three ritual practices, each of which involve some sort of gift giving.
    [Show full text]
  • PERFORMING 'DUBYA': GEORGE W. BUSH NARRATIVES on the POLITICAL and THEATRICAL STAGES by Ryan Patrick Howe BA Theatre Arts A
    PERFORMING ‘DUBYA’: GEORGE W. BUSH NARRATIVES ON THE POLITICAL AND THEATRICAL STAGES by Ryan Patrick Howe BA Theatre Arts and Political Science, Boston College, 1998 MA Drama, Washington University in St. Louis, 2004 Submitted to the Graduate Faculty of The Dietrich School of Arts and Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2013 UNIVERSITY OF PITTSBURGH THE DIETRICH SCHOOL OF ARTS AND SCIENCES This dissertation was presented by Ryan Patrick Howe It was defended on March 20th, 2013 and approved by Dr. Bruce A. McConachie, Professor, Department of Theatre Arts Dr. Kathleen George, Professor, Department of Theatre Arts Dr. Susan Harris Smith, Professor, Department of English Dissertation Advisor: Dr. Attilio Favorini, Professor, Department of Theatre Arts ii Copyright © by Ryan Patrick Howe 2013 iii PERFORMING ‘DUBYA’: GEORGE W. BUSH NARRATIVES ON THE POLITICAL AND THEATRICAL STAGES Ryan Patrick Howe, PhD University of Pittsburgh, 2013 This dissertation examines how theatrical performance might offer the political left a model for responding to the communication strategies of the political right through a case study of responses to the George W. Bush administration. I conduct this exploration through a two-part study. In the first part, I establish a theoretical framework by looking to the work of Francis Fukuyama, Bruce McConachie, Brian Boyd and others to identify the common evolutionary and cognitive roots of storytelling and political order. Based on that understanding, I examine the historical development of presidential storytelling and create a rubric for analyzing contemporary presidential performance. The second part of this dissertation is comprised of three chapters, each of which focuses on a particular narrative strategy used by the George W.
    [Show full text]
  • An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity
    Research Article: Research Article: New Research | Cognition and Behavior An Indexing Theory for Working Memory based on Fast Hebbian Plasticity https://doi.org/10.1523/ENEURO.0374-19.2020 Cite as: eNeuro 2020; 10.1523/ENEURO.0374-19.2020 Received: 17 September 2019 Revised: 17 January 2020 Accepted: 27 January 2020 This Early Release article has been peer-reviewed and accepted, but has not been through the composition and copyediting processes. The final version may differ slightly in style or formatting and will contain links to any extended data. Alerts: Sign up at www.eneuro.org/alerts to receive customized email alerts when the fully formatted version of this article is published. Copyright © 2020 Fiebig et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. 1 An Indexing Theory for Working Memory based on Fast Hebbian 2 Plasticity 3 Abbreviated Title: Fast Hebbian Indexing Theory for WM 4 Authors: Florian Fiebig1, Pawel Herman1, and Anders Lansner1,2,* 5 1. Lansner Laboratory, Department of Computational Science and Technology, Royal Institute of Technology, 6 10044 Stockholm, Sweden, 7 2. Department of Mathematics, Stockholm University, 10691 Stockholm, Sweden 8 * Corresponding Author: Anders Lansner, Department of Computational Science and Technology, Royal Institute 9 of Technology (KTH), Stockholm, Lindstedtsvägen 24, 100 44,
    [Show full text]