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Unstable neurons underlie a stable learned behavior
Author(s) -
William A. Liberti,
Jeffrey E. Markowitz,
L. Nathan Perkins,
Derek C. Liberti,
Daniel P. Leman,
Grigori Guitchounts,
Tarciso Velho,
Darrell N. Kotton,
Carlos Lois,
Timothy J. Gardner
Publication year - 2016
Publication title -
nature neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 13.403
H-Index - 422
eISSN - 1546-1726
pISSN - 1097-6256
DOI - 10.1038/nn.4405
Subject(s) - neuroscience , zebra finch , excitatory postsynaptic potential , population , biology , neural coding , neuron , psychology , inhibitory postsynaptic potential , demography , sociology
Motor skills can be maintained for decades, but the biological basis of this memory persistence remains largely unknown. The zebra finch, for example, sings a highly stereotyped song that is stable for years, but it is not known whether the precise neural patterns underlying song are stable or shift from day to day. Here we demonstrate that the population of projection neurons coding for song in the premotor nucleus, HVC, change from day to day. The most dramatic shifts occur over intervals of sleep. In contrast to the transient participation of excitatory neurons, ensemble measurements dominated by inhibition persist unchanged even after damage to downstream motor nerves. These observations offer a principle of motor stability: spatiotemporal patterns of inhibition can maintain a stable scaffold for motor dynamics while the population of principal neurons that directly drive behavior shift from one day to the next.

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