The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Natural Whisker-Guided Behavior by Head-Fixed Mice in Tactile Virtual Reality
Open accessAbstract
During many natural behaviors the relevant sensory stimuli and motor outputs are difficult to quantify. Furthermore, the high dimensionality of the space of possible stimuli and movements compounds the problem of experimental control. Head fixation facilitates stimulus control and movement tracking, and can be combined with techniques for recording and manipulating neural activity. However, head-fixed mouse behaviors are typically trained through extensive instrumental conditioning. Here we present a whisker-based, tactile virtual reality system for head-fixed mice running on a spherical treadmill. Head-fixed mice displayed natural movements, including running and rhythmic whisking at 16 Hz. Whisking was centered on a set point that changed in concert with running so that more protracted whisking was correlated with faster running. During turning, whiskers moved in an asymmetric manner, with more retracted whisker positions in the turn direction and protracted whisker movements on the other side. Under some conditions, whisker movements were phase-coupled to strides. We simulated a virtual reality tactile corridor, consisting of two moveable walls controlled in a closed-loop by running speed and direction. Mice used their whiskers to track the walls of the winding corridor without training. Whisker curvature changes, which cause forces in the sensory follicles at the base of the whiskers, were tightly coupled to distance from the walls. Our behavioral system allows for precise control of sensorimotor variables during natural tactile navigation.
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“Whisking during CL straight run (t < 0) is executed at 15 ± 2 Hz (mean ± SD) with an amplitude of just 39 ± 5° (mean ± SD) around a set point of 58 ± 5° (mean ± SD), typical for “foveal” whisking during fast locomotion (8, 28).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [28]
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“Better threshold clearance is achieved by steeper turn angles (Fig. 2D) at closer wall distances (28) reflecting the stronger evidence for the animal to turn faster to avoid anticipated collisions (29).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [28]
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Cited by
Sorted by citations
A large field of view two-photon mesoscope with subcellular resolution for in vivo imaging
Sofroniew, N. J., Flickinger, D., King, J., & Svoboda, K. (2016) · bioRxiv · doi:10.1101/055947 · Cited by 614
“We next imaged neural activity in behaving mice running on a treadmill in tactile virtual reality (Sofroniew et al. 2014, Sofroniew et al. 2015).”
MethodSelf-citationGlobal Representations of Goal-Directed Behavior in Distinct Cell Types of Mouse Neocortex
Allen, W. E., Kauvar, I., Chen, M. Z., Richman, E. B., Yang, S., Chan, K. Y., Gradinaru, V., Deverman, B. E., Luo, L., & Deisseroth, K. A. (2017) · Neuron · doi:10.1016/j.neuron.2017.04.017 · Cited by 365
“…single-cell measurements of activity within 904 Neuron 94, 891–907, May 17, 2017 multiple cortical regions simultaneously, but so far this approach can only sample activity throughout the whole cortex at low frame rates ( 1 Hz) and non-synchronously (Sofroniew et al., 2014; Stirman et al., 2016).”
A Cellular Resolution Map of Barrel Cortex Activity during Tactile Behavior
Peron, S., Freeman, J., Iyer, V., Guo, C., & Svoboda, K. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.027 · Cited by 334
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Self-citationMapping brain activity at scale with cluster computing
Freeman, J., Vladimirov, N., Kawashima, T., Mu, Y., Sofroniew, N. J., Bennett, D. V., Rosen, J., Yang, C.-T., Looger, L. L., & Ahrens, M. B. (2014) · Nature Methods · doi:10.1038/nmeth.3041 · Cited by 299
“A recently developed combination of light-sheet imaging in the larval zebrafish with visual stimulation and behavioral monitoring 20 enables simultaneous recording from virtually all neurons in the brain during sensorimotor behavior.”
BackgroundMethodSelf-citationSensorimotor processing in the rodent barrel cortex
Petersen, C. C. H. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0200-y · Cited by 283
Metadata
- Authors
- Sofroniew, N. J., Cohen, J. D., Lee, A. K., & Svoboda, K.
- Affiliations
- Howard Hughes Medical Institute (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-07-16
- Volume
- 34
- Issue
- 29
- Pages
- 9537-9550
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4099538
- OpenAlex
- W2051361380
- Cited by
- 165
- References
- 55
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 12 · 2023: 31 · 2022: 10 · 2021: 11 · 2020: 10 · 2019: 23 · 2018: 7 · 2017: 15 · 2016: 17 · 2015: 7 · 2014: 2
- FWCI
- 7.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- head-fixed mice, whisking, running speed, turning behavior, tactile navigation, sensorimotor coupling, treadmill running, natural behavior
- MeSH terms
- Channelrhodopsins, Afferent Pathways, Animals, Female, Male, Mice, Inbred C57BL, Mice, Transgenic, Motor Activity, Psychomotor Performance, Sensory Deprivation, Touch, User-Computer Interface, Vibrissae, Video Recording, Visual Perception, Head Movements, Vesicular Inhibitory Amino Acid Transport Proteins, Mice, Epithelial Sodium Channels, Optogenetics
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