ArticleProceedings of the National Academy of Sciences of the United States of America2021
A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the rat.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Whisker-based pre-neuronal and peripheral encoding of surface stickiness.bioRxiv : the preprint server for biology · 2026Article
- Microbiota-host metabolism reprogramming in colorectal cancer: from pathogenesis to precision therapies.Frontiers in oncology · 2025Review
- Comparative morphology of the whiskers and faces of mice (Mus musculus) and rats (Rattus norvegicus).The Journal of experimental biology · 2023Article
- On the intrinsic curvature of animal whiskers.PloS one · 2023Article
- A novel stimulator to investigate the tuning of multi-whisker responsive neurons for speed and the direction of global motion: Contact-sensitive moving stimulator for multi-whisker stimulation.Journal of neuroscience methods · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
As it becomes possible to simulate increasingly complex neural networks, it becomes correspondingly important to model the sensory information that animals actively acquire: the biomechanics of sensory acquisition directly determines the sensory input and therefore neural processing. Here, we exploit the tractable mechanics of the well-studied rodent vibrissal ("whisker") system to present a model that can simulate the signals acquired by a full sensor array actively sampling the environment. Rodents actively "whisk" ∼60 vibrissae (whiskers) to obtain tactile information, and this system is therefore ideal to study closed-loop sensorimotor processing. The simulation framework presented here,
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.