A framework for integrating the songbird brain

E D Jarvis; Victoria Anne Smith; K Wada; M V Rivas; M McElroy; T V Smulders; P Carninci; Y Hayashizaki; F Dietrich; X Wu; P McConnell; J Yu; P P Wang; A J Hartemink; S Lin

doi:10.1007/s00359-002-0358-y

A framework for integrating the songbird brain

E D Jarvis, Victoria Anne Smith, K Wada, M V Rivas, M McElroy, T V Smulders, P Carninci, Y Hayashizaki, F Dietrich, X Wu, P McConnell, J Yu, P P Wang, A J Hartemink, S Lin

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	961-980
Number of pages	20
Journal	Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology
Volume	188
DOIs	https://doi.org/10.1007/s00359-002-0358-y
Publication status	Published - Dec 2002

Keywords

Bayesian network
cDNA microarray improvement
multielectrode array
neural network
zebra finch
DRIVEN GENE-EXPRESSION
VOCAL CONTROL PATHWAYS
IMMEDIATE-EARLY GENES
LENGTH CDNA CLONING
ZEBRA FINCH
FULL-LENGTH
CONTROL-SYSTEM
ANTERIOR FOREBRAIN
NEURAL ACTIVITY
NERVOUS-SYSTEM

Access to Document

10.1007/s00359-002-0358-y

Cite this

Jarvis, E. D., Smith, V. A., Wada, K., Rivas, M. V., McElroy, M., Smulders, T. V., Carninci, P., Hayashizaki, Y., Dietrich, F., Wu, X., McConnell, P., Yu, J., Wang, P. P., Hartemink, A. J., & Lin, S. (2002). A framework for integrating the songbird brain. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology, 188, 961-980. https://doi.org/10.1007/s00359-002-0358-y

@article{4c9c5a1f7b29415e9b1ed7d1ba93597b,

title = "A framework for integrating the songbird brain",

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.",

keywords = "Bayesian network, cDNA microarray improvement, multielectrode array, neural network, zebra finch, DRIVEN GENE-EXPRESSION, VOCAL CONTROL PATHWAYS, IMMEDIATE-EARLY GENES, LENGTH CDNA CLONING, ZEBRA FINCH, FULL-LENGTH, CONTROL-SYSTEM, ANTERIOR FOREBRAIN, NEURAL ACTIVITY, NERVOUS-SYSTEM",

author = "Jarvis, {E D} and Smith, {Victoria Anne} and K Wada and Rivas, {M V} and M McElroy and Smulders, {T V} and P Carninci and Y Hayashizaki and F Dietrich and X Wu and P McConnell and J Yu and Wang, {P P} and Hartemink, {A J} and S Lin",

year = "2002",

month = dec,

doi = "10.1007/s00359-002-0358-y",

language = "English",

volume = "188",

pages = "961--980",

journal = "Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology",

issn = "0340-7594",

publisher = "Springer-Verlag",

}

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 2002, 'A framework for integrating the songbird brain', Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology, vol. 188, pp. 961-980. https://doi.org/10.1007/s00359-002-0358-y

TY - JOUR

T1 - A framework for integrating the songbird brain

AU - Jarvis, E D

AU - Smith, Victoria Anne

AU - Wada, K

AU - Rivas, M V

AU - McElroy, M

AU - Smulders, T V

AU - Carninci, P

AU - Hayashizaki, Y

AU - Dietrich, F

AU - Wu, X

AU - McConnell, P

AU - Yu, J

AU - Wang, P P

AU - Hartemink, A J

AU - Lin, S

PY - 2002/12

Y1 - 2002/12

N2 - 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.

AB - 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.

KW - Bayesian network

KW - cDNA microarray improvement

KW - multielectrode array

KW - neural network

KW - zebra finch

KW - DRIVEN GENE-EXPRESSION

KW - VOCAL CONTROL PATHWAYS

KW - IMMEDIATE-EARLY GENES

KW - LENGTH CDNA CLONING

KW - ZEBRA FINCH

KW - FULL-LENGTH

KW - CONTROL-SYSTEM

KW - ANTERIOR FOREBRAIN

KW - NEURAL ACTIVITY

KW - NERVOUS-SYSTEM

UR - http://www.scopus.com/inward/record.url?scp=0037001630&partnerID=8YFLogxK

U2 - 10.1007/s00359-002-0358-y

DO - 10.1007/s00359-002-0358-y

M3 - Article

SN - 0340-7594

VL - 188

SP - 961

EP - 980

JO - Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology

JF - Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology

ER -

A framework for integrating the songbird brain

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this