Vibrissa resonance as a transduction mechanism for tactile encoding
Open accessAbstract
We present evidence that resonance properties of rat vibrissae differentially amplify high-frequency and complex tactile signals. Consistent with a model of vibrissa mechanics, optical measurements of vibrissae revealed that their first mechanical resonance frequencies systematically varied from low (60-100 Hz) in longer, posterior vibrissae to high ( approximately 750 Hz) in shorter, anterior vibrissae. Resonance amplification of tactile input was observed in vivo and ex vivo, and in a variety of boundary conditions that are likely to occur during perception, including stimulation of the vibrissa with moving complex natural stimuli such as sandpaper. Vibrissae were underdamped, allowing for sharp tuning to resonance frequencies. Vibrissa resonance constitutes a potentially useful mechanism for perception of high-frequency and complex tactile signals. Amplification of small amplitude signals by resonance could facilitate detection of stimuli that would otherwise fail to drive neural activity. The systematic map of frequency sensitivity across the face could facilitate texture discrimination through somatotopic encoding of frequency content. These findings suggest strong parallels between vibrissa tactile processing and auditory encoding, in which the cochlea also uses resonance to amplify low-amplitude signals and to generate a spatial map of frequency sensitivity.
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Different feathers within the train should have resonant frequencies that vary by more than an order of magnitude because eyespot feathers vary in length by an order of magnitude.
“The eyespot feathers in the train also vary in length by an order of magnitude, so cantilever beam theory predicts that different feathers within the train should have resonant frequencies that vary by more than an order of magnitude [21, 25].”
From Biomechanics of the Peacock’s Display: How Feather Structure and Resonance Influence Multimodal Signaling (2016) · cites this paper as [25]
The 'Model of the vibrissa as a thin elastic beam' section gives a resonance-frequency model that scales with base radius divided by length squared; 'Prediction 3' reports that this relationship fit rat vibrissae. This supports the length-based reasoning, but the paper does not examine eyespot feathers or establish that their resonant frequencies vary by more than an order of magnitude. Its model also depends on properties besides length. (LLM, conf=0.85)
Experimental — accuracy not yet measuredWhiskers are truly conical, providing them with extra flexibility and resonant frequencies that are strongly dependent on whisker length, both of which support their sensory function.
“Whiskers are truly conical, providing them with extra flexibility and resonant frequencies that are strongly dependent on whisker length, both of which support their sensory function [25, 41].”
From Biomechanics of the Peacock’s Display: How Feather Structure and Resonance Influence Multimodal Signaling (2016) · cites this paper as [25]
The thin-elastic-beam model describes a cone as the best approximation of vibrissa shape and predicts that fundamental resonant frequency scales with base radius divided by length squared. The Utility of resonance for detection and discrimination section links resonance to sensory performance. The paper does not establish that the conical shape gives whiskers extra flexibility, and calling them 'truly conical' is stronger than its description of an approximation. (LLM, conf=0.86)
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References 32 · Cited by 179
Research works printed but not linked: 3
- Costa M (2000) Fractal description of rough surfaces for haptic display. PhD thesis, Stanford University.
- Neimark MA (2001) The mechanics of whisking: the first stage in the trans- duction of surface textures into neural signals. Undergraduate Senior thesis, Princeton University.
- Weaver WJ, Timoshenko SP, Young DH (1990) Vibration problems in en- gineering, Ed 5. New York: Wiley.
- Authors
- Neimark, M. A., Andermann, M. L., Hopfield, J. J., & Moore, C. I.
- Affiliations
- Harvard University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2003-07-23
- Volume
- 23
- Issue
- 16
- Pages
- 6499-6509
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6740638
- OpenAlex
- W2143812958
- Cited by
- 179
- References
- 32
- Citations by year
- 2026: 2 · 2025: 3 · 2023: 3 · 2022: 4 · 2021: 11 · 2020: 5 · 2019: 5 · 2018: 7 · 2017: 7 · 2016: 11 · 2015: 8 · 2014: 7 · 2013: 8 · 2012: 9
- FWCI
- 6.51
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Sensory Systems › Ion Channels and Receptors
- Keywords
- tactile encoding, whiskers, mechanical resonance, resonance amplification, texture discrimination, rat whiskers
- MeSH terms
- Animals, Biological Clocks, Biophysics, Discrimination, Psychological, Models, Biological, Physical Stimulation, Predictive Value of Tests, Surface Properties, Touch, Vibration, Vibrissae, Reproducibility of Results, Rats, Biophysical Phenomena, In Vitro Techniques
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