Temporal scaling of motor cortical dynamics reveals hierarchical control of vocal production

被引:4
作者
Banerjee, Arkarup [1 ,2 ,3 ,4 ]
Chen, Feng [5 ]
Druckmann, Shaul [6 ]
Long, Michael A. [1 ,2 ,3 ]
机构
[1] New York Univ, Langone Hlth, NYU Neurosci Inst, New York, NY 10012 USA
[2] New York Univ, Langone Hlth, Dept Otolaryngol, New York, NY 10012 USA
[3] NYU, Ctr Neural Sci, New York, NY 10012 USA
[4] Cold Spring Harbor Lab, Cold Spring Harbor, NY 10012 USA
[5] Stanford Univ, Dept Appl Phys, Stanford, CA USA
[6] Stanford Univ, Dept Neurobiol, Stanford, CA USA
基金
美国国家卫生研究院;
关键词
CORTEX; VOCALIZATION; NEURONS; TIME; PRIMATE; SYSTEMS; COMPUTATIONS; TEMPERATURE; MECHANISMS; RESPONSES;
D O I
10.1038/s41593-023-01556-5
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Neocortical activity is thought to mediate voluntary control over vocal production, but the underlying neural mechanisms remain unclear. In a highly vocal rodent, the male Alston's singing mouse, we investigate neural dynamics in the orofacial motor cortex (OMC), a structure critical for vocal behavior. We first describe neural activity that is modulated by component notes (similar to 100 ms), probably representing sensory feedback. At longer timescales, however, OMC neurons exhibit diverse and often persistent premotor firing patterns that stretch or compress with song duration (similar to 10 s). Using computational modeling, we demonstrate that such temporal scaling, acting through downstream motor production circuits, can enable vocal flexibility. These results provide a framework for studying hierarchical control circuits, a common design principle across many natural and artificial systems.
引用
收藏
页码:527 / 535
页数:9
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