Show simple item record

A framework for integrating the songbird brain.

dc.contributor.author Carninci, P
dc.contributor.author Dietrich, F
dc.contributor.author Hartemink, Alexander J
dc.contributor.author Hayashizaki, Y
dc.contributor.author Jarvis, Erich David
dc.contributor.author Lin, S
dc.contributor.author McConnell, P
dc.contributor.author McElroy, Marjorie B
dc.contributor.author Rivas, Miriam V
dc.contributor.author Smith, VA
dc.contributor.author Smulders, TV
dc.contributor.author Wada, K
dc.contributor.author Wang, PP
dc.contributor.author Wu, X
dc.contributor.author Yu, J
dc.coverage.spatial Germany
dc.date.accessioned 2015-12-19T14:01:32Z
dc.date.issued 2002-12
dc.identifier https://www.ncbi.nlm.nih.gov/pubmed/12471494
dc.identifier.issn 0340-7594
dc.identifier.uri http://hdl.handle.net/10161/11222
dc.description.abstract Biological systems by default involve complex components with complex relationships. To decipher how biological systems work, we assume that one needs to integrate information over multiple levels of complexity. The songbird vocal communication system is ideal for such integration due to many years of ethological investigation and a discreet dedicated brain network. Here we announce the beginnings of a songbird brain integrative project that involves high-throughput, molecular, anatomical, electrophysiological and behavioral levels of analysis. We first formed a rationale for inclusion of specific biological levels of analysis, then developed high-throughput molecular technologies on songbird brains, developed technologies for combined analysis of electrophysiological activity and gene regulation in awake behaving animals, and developed bioinformatic tools that predict causal interactions within and between biological levels of organization. This integrative brain project is fitting for the interdisciplinary approaches taken in the current songbird issue of the Journal of Comparative Physiology A and is expected to be conducive to deciphering how brains generate and perceive complex behaviors.
dc.language eng
dc.relation.ispartof J Comp Physiol A Neuroethol Sens Neural Behav Physiol
dc.relation.isversionof 10.1007/s00359-002-0358-y
dc.subject Animals
dc.subject Auditory Pathways
dc.subject Bayes Theorem
dc.subject Brain
dc.subject Brain Mapping
dc.subject Computational Biology
dc.subject Computer Simulation
dc.subject DNA-Binding Proteins
dc.subject Electrophysiology
dc.subject Gene Expression Profiling
dc.subject Gene Expression Regulation, Developmental
dc.subject Gene Library
dc.subject Learning
dc.subject Models, Neurological
dc.subject Motor Activity
dc.subject Nerve Net
dc.subject Neural Networks (Computer)
dc.subject Songbirds
dc.subject Transcription Factors
dc.subject Vocalization, Animal
dc.title A framework for integrating the songbird brain.
dc.type Journal article
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/12471494
pubs.begin-page 961
pubs.end-page 980
pubs.issue 11-12
pubs.organisational-group Basic Science Departments
pubs.organisational-group Computer Science
pubs.organisational-group Duke
pubs.organisational-group Duke Institute for Brain Sciences
pubs.organisational-group Institutes and Provost's Academic Units
pubs.organisational-group Molecular Genetics and Microbiology
pubs.organisational-group Neurobiology
pubs.organisational-group School of Medicine
pubs.organisational-group Trinity College of Arts & Sciences
pubs.organisational-group University Institutes and Centers
pubs.publication-status Published
pubs.volume 188


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record