1 resultado para Neural networks and clustering
em CaltechTHESIS
Filtro por publicador
- Repository Napier (1)
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberdeen University (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (14)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (12)
- Aston University Research Archive (86)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (17)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (33)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (33)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (5)
- Bulgarian Digital Mathematics Library at IMI-BAS (27)
- CaltechTHESIS (1)
- CentAUR: Central Archive University of Reading - UK (111)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (7)
- Cochin University of Science & Technology (CUSAT), India (8)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (24)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Department of Computer Science E-Repository - King's College London, Strand, London (3)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (10)
- Digital Peer Publishing (9)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (17)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (2)
- Instituto de Engenharia Nuclear, Brazil - Carpe dIEN (1)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Gulbenkian de Ciência (1)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (17)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Martin Luther Universitat Halle Wittenberg, Germany (3)
- Massachusetts Institute of Technology (6)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (10)
- Nottingham eTheses (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (7)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (8)
- Repositório da Produção Científica e Intelectual da Unicamp (2)
- Repositorio de la Universidad del Pacífico - PERU (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (116)
- Repositorio Institucional Universidad de Medellín (1)
- 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 (14)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo Saúde Pública - SP (19)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (1)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (42)
- Universidade do Minho (4)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (7)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (45)
- Université de Montréal (1)
- Université de Montréal, Canada (7)
- University of Connecticut - USA (1)
- University of Michigan (3)
- University of Queensland eSpace - Australia (44)
- University of Southampton, United Kingdom (5)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
The brain is a network spanning multiple scales from subcellular to macroscopic. In this thesis I present four projects studying brain networks at different levels of abstraction. The first involves determining a functional connectivity network based on neural spike trains and using a graph theoretical method to cluster groups of neurons into putative cell assemblies. In the second project I model neural networks at a microscopic level. Using diferent clustered wiring schemes, I show that almost identical spatiotemporal activity patterns can be observed, demonstrating that there is a broad neuro-architectural basis to attain structured spatiotemporal dynamics. Remarkably, irrespective of the precise topological mechanism, this behavior can be predicted by examining the spectral properties of the synaptic weight matrix. The third project introduces, via two circuit architectures, a new paradigm for feedforward processing in which inhibitory neurons have the complex and pivotal role in governing information flow in cortical network models. Finally, I analyze axonal projections in sleep deprived mice using data collected as part of the Allen Institute's Mesoscopic Connectivity Atlas. After normalizing for experimental variability, the results indicate there is no single explanatory difference in the mesoscale network between control and sleep deprived mice. Using machine learning techniques, however, animal classification could be done at levels significantly above chance. This reveals that intricate changes in connectivity do occur due to chronic sleep deprivation.