### Abstract

Research in the vestibular field has revealed the existence of a central process, called 'velocity storage', that is activated by both visual and vestibular rotation cues and is modified by gravity, but whose functional relevance during natural motion has often been questioned. In this review, we explore spatial orientation in the context of a Bayesian model of vestibular information processing. In this framework, deficiencies/ambiguities in the peripheral vestibular sensors are compensated for by central processing to more accurately estimate rotation velocity, orientation relative to gravity, and inertial motion. First, an inverse model of semicircular canal dynamics is used to reconstruct rotation velocity by integrating canal signals over time. However, its low-frequency bandwidth is limited to avoid accumulation of noise in the integrator. A second internal model uses this reconstructed rotation velocity to compute an internal estimate of tilt and inertial acceleration. The bandwidth of this second internal model is also restricted at low frequencies to avoid noise accumulation and drift of the tilt/translation estimator over time. As a result, low-frequency translation can be erroneously misinterpreted as tilt. The time constants of these two integrators (internal models) can be conceptualized as two Bayesian priors of zero rotation velocity and zero linear acceleration, respectively. The model replicates empirical observations like 'velocity storage' and 'frequency segregation' and explains spatial orientation (e.g., 'somatogravic') illusions. Importantly, the functional significance of this network, including velocity storage, is found during short-lasting, natural head movements, rather than at low frequencies with which it has been traditionally studied.

Original language | English (US) |
---|---|

Pages (from-to) | 407-422 |

Number of pages | 16 |

Journal | Experimental Brain Research |

Volume | 210 |

Issue number | 3-4 |

DOIs | |

State | Published - May 1 2011 |

### Fingerprint

### Keywords

- Bayes rule
- Bayesian model
- Eye movement
- Internal model
- Prior
- Somatogravic illusion
- Spatial orientation
- Velocity storage
- Vestibular
- Vestibulo-ocular reflex

### ASJC Scopus subject areas

- Neuroscience(all)

### Cite this

*Experimental Brain Research*,

*210*(3-4), 407-422. https://doi.org/10.1007/s00221-011-2568-4

**The functional significance of velocity storage and its dependence on gravity.** / Laurens, Jean; Angelaki, Dora.

Research output: Contribution to journal › Article

*Experimental Brain Research*, vol. 210, no. 3-4, pp. 407-422. https://doi.org/10.1007/s00221-011-2568-4

}

TY - JOUR

T1 - The functional significance of velocity storage and its dependence on gravity

AU - Laurens, Jean

AU - Angelaki, Dora

PY - 2011/5/1

Y1 - 2011/5/1

N2 - Research in the vestibular field has revealed the existence of a central process, called 'velocity storage', that is activated by both visual and vestibular rotation cues and is modified by gravity, but whose functional relevance during natural motion has often been questioned. In this review, we explore spatial orientation in the context of a Bayesian model of vestibular information processing. In this framework, deficiencies/ambiguities in the peripheral vestibular sensors are compensated for by central processing to more accurately estimate rotation velocity, orientation relative to gravity, and inertial motion. First, an inverse model of semicircular canal dynamics is used to reconstruct rotation velocity by integrating canal signals over time. However, its low-frequency bandwidth is limited to avoid accumulation of noise in the integrator. A second internal model uses this reconstructed rotation velocity to compute an internal estimate of tilt and inertial acceleration. The bandwidth of this second internal model is also restricted at low frequencies to avoid noise accumulation and drift of the tilt/translation estimator over time. As a result, low-frequency translation can be erroneously misinterpreted as tilt. The time constants of these two integrators (internal models) can be conceptualized as two Bayesian priors of zero rotation velocity and zero linear acceleration, respectively. The model replicates empirical observations like 'velocity storage' and 'frequency segregation' and explains spatial orientation (e.g., 'somatogravic') illusions. Importantly, the functional significance of this network, including velocity storage, is found during short-lasting, natural head movements, rather than at low frequencies with which it has been traditionally studied.

AB - Research in the vestibular field has revealed the existence of a central process, called 'velocity storage', that is activated by both visual and vestibular rotation cues and is modified by gravity, but whose functional relevance during natural motion has often been questioned. In this review, we explore spatial orientation in the context of a Bayesian model of vestibular information processing. In this framework, deficiencies/ambiguities in the peripheral vestibular sensors are compensated for by central processing to more accurately estimate rotation velocity, orientation relative to gravity, and inertial motion. First, an inverse model of semicircular canal dynamics is used to reconstruct rotation velocity by integrating canal signals over time. However, its low-frequency bandwidth is limited to avoid accumulation of noise in the integrator. A second internal model uses this reconstructed rotation velocity to compute an internal estimate of tilt and inertial acceleration. The bandwidth of this second internal model is also restricted at low frequencies to avoid noise accumulation and drift of the tilt/translation estimator over time. As a result, low-frequency translation can be erroneously misinterpreted as tilt. The time constants of these two integrators (internal models) can be conceptualized as two Bayesian priors of zero rotation velocity and zero linear acceleration, respectively. The model replicates empirical observations like 'velocity storage' and 'frequency segregation' and explains spatial orientation (e.g., 'somatogravic') illusions. Importantly, the functional significance of this network, including velocity storage, is found during short-lasting, natural head movements, rather than at low frequencies with which it has been traditionally studied.

KW - Bayes rule

KW - Bayesian model

KW - Eye movement

KW - Internal model

KW - Prior

KW - Somatogravic illusion

KW - Spatial orientation

KW - Velocity storage

KW - Vestibular

KW - Vestibulo-ocular reflex

UR - http://www.scopus.com/inward/record.url?scp=79954733400&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79954733400&partnerID=8YFLogxK

U2 - 10.1007/s00221-011-2568-4

DO - 10.1007/s00221-011-2568-4

M3 - Article

C2 - 21293850

AN - SCOPUS:79954733400

VL - 210

SP - 407

EP - 422

JO - Experimental Brain Research

JF - Experimental Brain Research

SN - 0014-4819

IS - 3-4

ER -