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Biology subjects

Elemans, C. P.

Publications and source records attributed to Elemans, C. P..

3 recordsLinked to original sources

Increasing muscle speed drives changes in the neuromuscular transform of motor commands during postnatal development in songbirds

Progressive changes in vocal behavior over the course of vocal imitation leaning are often attributed exclusively to developing neural circuits, but the effects of postnatal body changes remain unknown. In songbirds, the syrinx transforms song system motor commands into sound, and exhibits changes during song learning. Here we test the hypothesis that the transformation from motor commands to force trajectories by syringeal muscles functionally changes over vocal development in zebra finches. Our data collected in both sexes show that only in males, muscle speed significantly increases and that supralinear summation occurs and increases with muscle contraction speed. Furthermore, we show that previously reported sub-millisecond spike timing in the avian cortex can be resolved by superfast syringeal muscles and that the sensitivity to spike timing increases with speed. Because motor neuron and muscle properties are tightly linked, we make predictions on the boundaries of the yet unknown motor code that correspond well with cortical activity. Taken together, we show that syringeal muscles undergo essential transformations during song learning that drastically change how neural commands are translated into force profiles and thereby acoustic features. We propose that the song system motor code must compensate for these changes to achieve its acoustic targets. Our data thus supports the hypothesis that the neuromuscular transformation changes over vocal development and emphasizes the need for an embodied view of song motor learning. Significance statementFine motor skill learning typically occurs in a postnatal period when the brain is learning to control a body that is changing dramatically due to growth and development. How the developing body influences motor code formation and vice versa remains largely unknown. Here we show that vocal muscles in songbirds undergo critical transformations during song learning that drastically change how neural commands are translated into force profiles and thereby acoustic features. We propose that the motor code must compensate for these changes to achieve its acoustic targets. Our data thus support the hypothesis that the neuromuscular transformation changes over vocal development and emphasizes the need for an embodied view of song motor learning.

neuroscience

One-to-one innervation of vocal muscles allows precise control of birdsong

The motor control resolution of any animal behavior is limited to the minimal force step available when activating muscles, which is set by the number and size distribution of motor units (MUs) and muscle specific force [1, 2]. Birdsong is an excellent model system for understanding sequence learning of complex fine motor skills [3], but we know surprisingly little how the motor pool controlling the syrinx is organized [4] and how MU recruitment drives changes in vocal output [5]. Here we combine measurements of syringeal muscle innervation ratios with muscle stress and an in vitro syrinx preparation to estimate MU size distribution and the control resolution of fundamental frequency (fo), a key vocal parameter, in zebra finches. We show that syringeal muscles have extremely small MUs, with 50% innervating [≤] 3, and 13 - 17% innervating a single muscle fiber. Combined with the lowest specific stress (5 mN/mm2) known to skeletal vertebrate muscle, small force steps by the major fo controlling muscle provide control of 50 mHz to 4.2 Hz steps per MU. We show that the song system has the highest motor control resolution possible in the vertebrate nervous system and suggest this evolved due to strong selection on fine gradation of vocal output. Furthermore, we propose that high-resolution motor control was a key feature contributing to the radiation of songbirds that allowed diversification of song and speciation by vocal space expansion.

neuroscience

High-fidelity continuum modeling predicts voiced sound production

Voiced sound production is the primary form of acoustic communication in terrestrial vertebrates, particularly birds and mammals, including humans. Developing a causal physics-based model that links descending vocal motor control to tissue vibration and sound requires embodied approaches that include realistic representations of voice physiology. Here we first implement and then experimentally test a high-fidelity three-dimensional continuum model for voiced sound production in birds. Driven by individual-based physiologically quantifiable inputs, combined with non-invasive inverse methods for tissue material parameterization, our model accurately predicts observed key vibratory and acoustic performance traits. These results demonstrate that realistic models lead to accurate predictions and support the continuum model approach as a critical tool towards a causal model of motor control of voiced sound production.

zoology