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A novel behavioral paradigm using mice to study predictive postural control.

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Paper

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The authors' code

C/C++ header · 4 lines · 2.5 KB · MIT

  1. int array_trialtype[] = {2,1,1,1,1,1,1,2,1,2,1,2,1,1,1,3,1,1,1,1,1,1,3,1,1,1,1,1,1,2,1,2,1,1,1,3,1,1,3,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,1,1,3,2,1,1,3,1,1,3,3,2,1,1,2,2,1,1,1,1,3,2,1,1,1,3,3,1,1,3,1,1,3,1,1,1,1,1,1,1,1,2,2,1,2,2,1,1,1,3,1,1,2,1,1,2,1,1,1,1,1,1,1,1,1,1,3,3,1,1,1,1,2,1,1,1,3,1,1,2,2,1,1,3,1,1,1,3,1,2,1,1,1,1,1,1,1,1,1,1,1,2,3,1,1,1,1,1,1,1,1,3,1,1,3,1,3,1,1,3,3,1,1,1,1,1,2,1,3,1,1,1,2,1,1,1,1,1,1,1,2,1};
  2. int array_delay2sound[] = {1651,1548,2039,3559,1941,1978,1812,3895,1677,2664,1881,2240,2259,3682,2066,1600,3898,3948,2580,3314,2305,2630,1967,3175,2116,2889,2472,2661,2587,2143,3458,4028,3013,1511,1894,3177,3267,1540,1949,1727,1829,2259,2789,2704,4302,1757,1854,2403,2813,2935,1680,1906,1539,2368,1777,2812,1870,2803,1808,2285,2648,2431,2542,3563,1725,4310,1746,2033,1652,2405,3277,1666,1920,2531,3646,3355,2079,2631,2853,1819,1998,1884,1677,1940,1950,1740,4214,2674,2619,3256,1586,2732,1723,3625,4369,1799,1549,2853,2377,2824,2513,1525,2627,3042,3461,2230,3577,2170,1682,3586,1598,2710,1726,2065,2515,1510,2289,3330,3929,3402,3545,2036,4613,2542,3768,1700,3063,3795,2931,2932,2567,1641,2448,1943,2431,1891,1673,1736,4625,2108,2261,1930,2541,2876,2530,1874,2040,2831,1692,1954,2818,1557,2570,1560,2814,1536,2741,1774,1758,2960,1614,2322,1623,2348,2938,1854,2505,3693,3384,2808,1977,2920,1716,1646,2176,1660,1655,3710,2687,3238,3958,3144,1784,3133,1568,3508,2305,1728,1641,1808,1883,4191,2384,2744,1714,3024,2634,2566,1515,1541};
  3. int array_delay2motor[] = {2737,2871,3027,3571,2590,2819,3262,3864,3747,2539,2541,3595,2922,3234,3515,3306,4630,2731,3517,3335,4018,3155,2735,3535,2755,3166,4771,3737,2876,4388,2718,3046,4531,2922,3232,2927,2648,3459,4436,3069,2544,3028,3198,3290,3029,5808,3446,2739,3024,2759,3016,2853,3456,3021,2958,2556,2937,4715,2722,3102,5631,2733,2775,3211,3146,2851,4780,4046,2820,2734,2545,3653,3221,2962,3236,3412,3077,5200,2869,4159,2714,3169,3037,2653,3080,5183,2616,3266,3089,4308,3614,2565,4070,2951,2974,2859,3970,2712,4102,3264,4521,2759,2818,2892,3076,3462,2611,2621,2563,2677,3705,2713,3268,2797,4280,2865,2606,3493,2730,2748,2599,2980,2752,3402,4160,2986,2592,3333,2666,2790,2770,4455,2697,3193,2709,2568,3175,3898,3158,4659,2719,3060,4392,4734,3329,4184,3314,3710,2575,3067,2893,2885,3283,2785,4148,3048,2565,5342,2692,2675,2733,2614,2590,3601,3627,3151,3836,2844,3398,4018,5460,5487,2562,2972,2934,2647,4166,3031,4964,5382,3744,2801,3098,3198,2513,2766,3076,4511,3283,4615,4355,2580,3874,3101,3675,2753,2733,3407,3490,2754};
  4. int fixed_delay = 1000 - 1;

example_task_config.h at commit 130fff9, under MIT · at the source

Overview

Authors: Yurika Doi1,2, Meiko Asaka3,4, Richard T. Born2,5, Dai Yanagihara3,4, Naoshige Uchida1,6
ORCID iDs: Yurika Doi, Richard T. Born, Dai Yanagihara, Naoshige Uchida
  1. Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, United States
  2. Program in Neuroscience, Harvard Medical School, Boston, MA, United States
  3. Cognition and Behavior Joint Research Laboratory, RIKEN Center for Brain Science, Wako, Japan
  4. Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
  5. Department of Neurobiology, Harvard Medical School, Boston, MA, United States
  6. Center for Brain Science, Harvard University, Cambridge, MA, United States
Institutions: Harvard University (United States); RIKEN Center for Brain Science (Japan); The University of Tokyo (Japan)
Journal: Frontiers in neuroscience, volume 20, article 1790603
Dates: received 18 January 2026; accepted 9 March 2026; published online 13 April 2026
Type: Methods article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fnins.2026.1790603 · PMID 42051548 · PMCID PMC13111203 · OpenAlex W4400272565
Open access: gold, a free copy (OpenAlex)
Preprint: doi:10.1101/2024.07.01.601478
Status: code verified
Categories: behavior only (modality), human (organism), mouse (organism)
Methods: Spectral & time-frequency, Machine learning, Statistics
Keywords: balance, learning, motor control, rodent, sensorimotor
Topic: Zebrafish Biomedical Research Applications (Cell Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Ministry of Education, Culture, Sports, Science and Technology
Citations: not cited yet (Europe PMC); 68 references in the paper

Abstract

Postural control circuitry performs the essential function of maintaining balance and body position in response to perturbations that are either self-generated (e.g., reaching to pick up an object) or externally delivered (e.g., being pushed by another person). Human studies have shown that anticipation of predictable postural disturbances can modulate such responses. This indicates that postural control could involve higher-level neural structures associated with predictive functions, rather than being purely reactive. However, the underlying neural circuitry remains largely unknown. To enable studies of predictive postural control circuits, we developed a novel experimental paradigm for mice. In this paradigm, modeled after studies in humans and rats, a dynamic platform generated reproducible translational perturbations. While mice stood on their hind legs atop a perch to receive water rewards, they experienced backward translations that were either unpredictable or preceded by an auditory cue. To validate the paradigm, we investigated the effect of the auditory cue on postural responses to perturbations across multiple days in three mice. These preliminary results serve to validate a new postural control experimental paradigm, opening the door to the types of neural recordings and circuit manipulations that are currently possible in mice.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above.

yurikadoi/predictive-postural-control-mouse

License: MIT
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Commit: 130fff95df65df7bc674494bee4b20ea0d23103d, 21 March 2026
Languages: C/C++ (1)
Size: 14 files, 1 script
Software Heritage: not archived
Found in: “Data availability statement”
Holds: README, license file
Not found: CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 29 September 2026: the link answers
  • 29 September 2026: the link answers
3 files
At the source: github.com/yurikadoi/predictive-postural-control-mouse

The paper's code and data availability statement is in the Data section.

Tracing map

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  • 1 script, each with its path and the digest of its content;
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Data

Datasets cited

Data availability statement

The datasets presented in this study are available in Dryad: doi: https://doi.org/10.5061/dryad.ncjsxkt6t. Code and configuration files associated with the behavioral task and analysis are available at: https://github.com/yurikadoi/predictive-postural-control-mouse.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 5 authors, 5 keywords, 1 funder, 64 references.

Cite

This paper

Doi, Y., Asaka, M., Born, R. T., Yanagihara, D., & Uchida, N. (2026). A novel behavioral paradigm using mice to study predictive postural control. Frontiers in neuroscience, 20, 1790603. https://doi.org/10.3389/fnins.2026.1790603

BibTeX

@article{doi2026novel,
author = {Doi, Yurika and Asaka, Meiko and Born, Richard T. and Yanagihara, Dai and Uchida, Naoshige},
title = {{A novel behavioral paradigm using mice to study predictive postural control}},
journal = {Frontiers in neuroscience},
year = {2026},
month = apr,
volume = {20},
pages = {1790603},
publisher = {Frontiers Media SA},
issn = {1662-4548},
doi = {10.3389/fnins.2026.1790603},
url = {https://doi.org/10.3389/fnins.2026.1790603},
pmid = {42051548},
pmcid = {PMC13111203}
}

RIS

TY - JOUR
AU - Doi, Yurika
AU - Asaka, Meiko
AU - Born, Richard T.
AU - Yanagihara, Dai
AU - Uchida, Naoshige
TI - A novel behavioral paradigm using mice to study predictive postural control
T2 - Frontiers in neuroscience
J2 - Front Neurosci
PY - 2026
DA - 2026/04/13
VL - 20
SP - 1790603
SN - 1662-4548
PB - Frontiers Media SA
DO - 10.3389/fnins.2026.1790603
UR - https://doi.org/10.3389/fnins.2026.1790603
LA - en
ER -

CSL-JSON

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