1 resultado para newspaper representation of schools
em Duke University
Filtro por publicador
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Research Repository at Institute of Developing Economies (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- Adam Mickiewicz University Repository (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (2)
- Archive of European Integration (9)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (19)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (25)
- Boston University Digital Common (3)
- Brock University, Canada (4)
- Brunel University (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (10)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (21)
- CentAUR: Central Archive University of Reading - UK (51)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (12)
- Cochin University of Science & Technology (CUSAT), India (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (62)
- Department of Computer Science E-Repository - King's College London, Strand, London (3)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (9)
- Digital Knowledge Repository of Central Drug Research Institute (1)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (3)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (1)
- Earth Simulator Research Results Repository (1)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (20)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (4)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (10)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (4)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (30)
- Queensland University of Technology - ePrints Archive (165)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (18)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (2)
- Scielo Uruguai (1)
- Universidad Autónoma de Nuevo León, Mexico (2)
- Universidad de Alicante (7)
- Universidad Politécnica de Madrid (3)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (5)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (300)
- University of Queensland eSpace - Australia (23)
- University of Southampton, United Kingdom (1)
- University of Washington (6)
- WestminsterResearch - UK (8)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Phenomenologically, humans effectively label and report feeling distinct emotions, yet the extent to which emotions are represented categorically in nervous system activity is controversial. Theoretical accounts differ in this regard, some positing distinct emotional experiences emerge from a dimensional representation (e.g., along axes of valence and arousal) whereas others propose emotions are natural categories, with dedicated neural bases and associated response profiles. This dissertation aims to empirically assess these theoretical accounts by examining how emotions are represented (either as disjoint categories or as points along continuous dimensions) in autonomic and central nervous system activity by integrating psychophysiological recording and functional neuroimaging with machine-learning based analytical methods. Results demonstrate that experientially, emotional events are well-characterized both along dimensional and categorical frameworks. Measures of central and peripheral responding discriminate among emotion categories, but are largely independent of valence and arousal. These findings suggest dimensional and categorical aspects of emotional experience are driven by separable neural substrates and demonstrate that emotional states can be objectively quantified on the basis of nervous system activity.