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Precise Timing is Ubiquitous, Consistent, and Coordinated Across a Comprehensive, Spike-resolved Flight Motor Program

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Specialty Science
Date 2019 Dec 18
PMID 31843904
Citations 10
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Abstract

Sequences of action potentials, or spikes, carry information in the number of spikes and their timing. Spike timing codes are critical in many sensory systems, but there is now growing evidence that millisecond-scale changes in timing also carry information in motor brain regions, descending decision-making circuits, and individual motor units. Across all of the many signals that control a behavior, how ubiquitous, consistent, and coordinated are spike timing codes? Assessing these open questions ideally involves recording across the whole motor program with spike-level resolution. To do this, we took advantage of the relatively few motor units controlling the wings of a hawk moth, . We simultaneously recorded nearly every action potential from all major wing muscles and the resulting forces in tethered flight. We found that timing encodes more information about turning behavior than spike count in every motor unit, even though there is sufficient variation in count alone. Flight muscles vary broadly in function as well as in the number and timing of spikes. Nonetheless, each muscle with multiple spikes consistently blends spike timing and count information in a 3:1 ratio. Coding strategies are consistent. Finally, we assess the coordination of muscles using pairwise redundancy measured through interaction information. Surprisingly, not only are all muscle pairs coordinated, but all coordination is accomplished almost exclusively through spike timing, not spike count. Spike timing codes are ubiquitous, consistent, and essential for coordination.

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References
1.
Bialek W, Rieke F, de Ruyter van Steveninck R, Warland D . Reading a neural code. Science. 1991; 252(5014):1854-7. DOI: 10.1126/science.2063199. View

2.
Hooper S, Guschlbauer C, von Uckermann G, Buschges A . Different motor neuron spike patterns produce contractions with very similar rises in graded slow muscles. J Neurophysiol. 2006; 97(2):1428-44. DOI: 10.1152/jn.01014.2006. View

3.
Sponberg S, Daniel T . Abdicating power for control: a precision timing strategy to modulate function of flight power muscles. Proc Biol Sci. 2012; 279(1744):3958-66. PMC: 3427574. DOI: 10.1098/rspb.2012.1085. View

4.
Timme N, Alford W, Flecker B, Beggs J . Synergy, redundancy, and multivariate information measures: an experimentalist's perspective. J Comput Neurosci. 2013; 36(2):119-40. DOI: 10.1007/s10827-013-0458-4. View

5.
Brenner N, Strong S, Koberle R, Bialek W, de Ruyter van Steveninck R . Synergy in a neural code. Neural Comput. 2000; 12(7):1531-52. DOI: 10.1162/089976600300015259. View