Related Reading
Reviews
M. Konishi, “Birdsong:From Behavior to Neuron,” Ann. Rev. Neurosci., vol. 8, pp. 125-70,
1985.
[PDF]
A. J. Doupe and P. K. Kuhl, “Birdsong and human speech: common
themes and mechanisms.,” Ann Rev Neurosci, vol. 22, pp. 567-631, 1999.
Anatomy
M. Wild, “Neural pathways for the control of birdsong production.,”
J Neurobiol., vol. 33, pp. 653-70, 1997.
D. S. Vicario and F. Nottebohm, “Organization of the zebra
finch song control system: I. Representation of syringeal muscles in the
hypoglossal nucleus.,” J Comp Neurol, vol. 271, pp. 346-354, 1988.
F. Nottebohm, D. B. Kelley, and J. A. Paton, “Connections of
vocal control nuclei in the canary telencephalon.,” J Comp Neurol, vol. 207, pp. 344-357, 1982.
J. M. Wild, “Descending Projections of the Songbird Nucleus
Robustus Archistriatalis,” J. Comp. Neurol., vol. 338, pp. 225-241, 1993.
F. Nottebohm, T. M. Stokes, and C. M. Leonard, “Central control
of song in the canary, Serinus canarius.,” J Comp Neurol, vol. 165, pp. 457-486, 1976.
A. J. Doupe, “A neural circuit specialized for vocal learning.,”
Curr Opin Neurobiol, vol. 116, pp. 104-111, 1993.
H. J. Karten, “Homology and evolutionary origins of the "neocortex.",”
Brain Behav Evol, vol. 38, pp. 264-272, 1991.
G. F. Streidter and E. T. Vu, “Bilateral feedback projections
to the forebrain in the premotor network for singing in zebra finches.,”
J Neurobiol, vol. 34, pp. 27-40, 1998.
Chronic Recording
A. C. Yu and D. Margoliash, “Temporal hierarchical control of
singing in birds.,” Science, vol. 273, pp. 1871-1875, 1996.
[PDF]
A. S. Dave and D. Margoliash, “Song replay during sleep and
computational rules for sensorimotor vocal learning.,” Science,
vol. 290, pp. 812-816, 2000.
[PDF]
J. S. McCasland, “Neuronal control of Bird Song Production,” J. Neurosci.,
vol. 7, pp. 23-39, 1987.
Electrophysiology
R. Mooney, “Synaptic basis for developmental plasticity in a
birdsong nucleus.,” J Neurosci, vol. 12, pp. 2464-2477, 1992.
P. Dutar, H. M. Vu, and D. J. Perkel, “Multiple cell types
distinguished by physiological, pharmacological, and anatomic properties in nucleus
HVc of the adult zebra finch.,” J Neurophysiol, vol. 80, pp. 1828-1838, 1998.
R. Mooney, “Different Subthreshold Mechanisms Underlie Song
Selectivity in Identified HVc Neurons of the Zebra Finch,” J. Neurosci ,
vol. 201, pp. 5420-5436, 2000.
M. Luo and D. J. Perkel, “A GABAergic, strongly inhibitory
projection to a thalamic nucleus in the zebra finch song system.,” J Neurosci,
vol. 19, pp. 6700-6711, 1999.
Antidromic Identification
H. Swadlow, “Neocortical efferent neurons with very slowly
conducting axons: strategies for reliable antidromic identification,”
J Neurosci Meth, vol. 79, pp. 131-141, 1998.
Neural Models of Sequence Generation
D. J. Amit, “Neural networks counting chimes,” Proc Natl Acad Sci U S A,
vol. 85, pp. 2141-2145, 1988.
D. Kleinfeld and H. Sompolinsky, “Associative network models
for central pattern generators,” in Methods in Neuronal Modeling, C. Koch and I. Segev, Eds. Cambridge, MA: MIT Press,
1989, pp. 195-246.
M. Hermann, J. Hertz, and A. Prugel-Bennet, “Analysis of
synfire chains.,” in Network: Comput. Neural Syst., vol. 6, 1995, pp. 403-414.