A framework for integrating the songbird brain.

Jarvis, ED; Smith, VA; Wada, K; Rivas, MV; McElroy, M; Smulders, TV; Carninci, P; Hayashizaki, Y; Dietrich, F; Wu, X; McConnell, P; Yu, J; Wang, PP; Hartemink, AJ; Lin, S

A framework for integrating the songbird brain.

dc.contributor.author	Jarvis, ED
dc.contributor.author	Smith, VA
dc.contributor.author	Wada, K
dc.contributor.author	Rivas, MV
dc.contributor.author	McElroy, M
dc.contributor.author	Smulders, TV
dc.contributor.author	Carninci, P
dc.contributor.author	Hayashizaki, Y
dc.contributor.author	Dietrich, F
dc.contributor.author	Wu, X
dc.contributor.author	McConnell, P
dc.contributor.author	Yu, J
dc.contributor.author	Wang, PP
dc.contributor.author	Hartemink, AJ
dc.contributor.author	Lin, S
dc.coverage.spatial	Germany
dc.date.accessioned	2015-12-19T14:01:32Z
dc.date.issued	2002-12
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.identifier	https://www.ncbi.nlm.nih.gov/pubmed/12471494
dc.identifier.issn	0340-7594
dc.identifier.uri	https://hdl.handle.net/10161/11222
dc.language	eng
dc.publisher	Springer Science and Business Media LLC
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
duke.contributor.orcid	Hartemink, AJ\|0000-0002-1292-2606
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

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