Embodied Information Processing: Vibrissa Mechanics and Texture Features Shape Micromotions in Actively Sensing Rats. Ritt, J. T., Andermann, M. L., & Moore, C. I. Neuron, 57(4):599–613, February, 2008.
Embodied Information Processing: Vibrissa Mechanics and Texture Features Shape Micromotions in Actively Sensing Rats [link]Paper  doi  abstract   bibtex   
Peripheral sensory organs provide the first transformation of sensory information, and understanding how their physical embodiment shapes transduction is central to understanding perception. We report the characterization of surface transduction during active sensing in the rodent vibrissa sensory system, a widely used model. Employing high-speed videography, we tracked vibrissae while rats sampled rough and smooth textures. Variation in vibrissa length predicted motion mean frequencies, including for the highest velocity events, indicating that biomechanics, such as vibrissa resonance, shape signals most likely to drive neural activity. Rough surface contact generated large amplitude, high-velocity "stick-slip-ring" events, while smooth surfaces generated smaller and more regular stick-slip oscillations. Both surfaces produced velocities exceeding those applied in reduced preparations, indicating active sensation of surfaces generates more robust drive than previously predicted. These findings demonstrate a key role for embodiment in vibrissal sensing and the importance of input transformations in sensory representation.
@article{ritt_embodied_2008,
	title = {Embodied {Information} {Processing}: {Vibrissa} {Mechanics} and {Texture} {Features} {Shape} {Micromotions} in {Actively} {Sensing} {Rats}},
	volume = {57},
	issn = {08966273},
	shorttitle = {Embodied {Information} {Processing}},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0896627308000275},
	doi = {10.1016/j.neuron.2007.12.024},
	abstract = {Peripheral sensory organs provide the first transformation of sensory information, and understanding how their physical embodiment shapes transduction is central to understanding perception. We report the characterization of surface transduction during active sensing in the rodent vibrissa sensory system, a widely used model. Employing high-speed videography, we tracked vibrissae while rats sampled rough and smooth textures. Variation in vibrissa length predicted motion mean frequencies, including for the highest velocity events, indicating that biomechanics, such as vibrissa resonance, shape signals most likely to drive neural activity. Rough surface contact generated large amplitude, high-velocity "stick-slip-ring" events, while smooth surfaces generated smaller and more regular stick-slip oscillations. Both surfaces produced velocities exceeding those applied in reduced preparations, indicating active sensation of surfaces generates more robust drive than previously predicted. These findings demonstrate a key role for embodiment in vibrissal sensing and the importance of input transformations in sensory representation.},
	language = {en},
	number = {4},
	urldate = {2020-03-12},
	journal = {Neuron},
	author = {Ritt, Jason T. and Andermann, Mark L. and Moore, Christopher I.},
	month = feb,
	year = {2008},
	pages = {599--613},
	file = {Full Text:/Users/jjallen/Zotero/storage/J8BBTG5R/Ritt et al. - 2008 - Embodied Information Processing Vibrissa Mechanic.pdf:application/pdf}
}

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