How the Vestibulocerebellum Builds an Internal Model of Self-motion

Laurens, Jean; Angelaki, Dora E.

doi:10.1016/b978-0-12-801386-1.00004-6

Cited by 11 publications

(13 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this respect, it is important to emphasize that truly tilt-selective neurons exclusively encode changes in orientation relative to gravity, rather than being generically activated by vertical canal inputs. Thus, it is critical that this distinction is experimentally made using three-dimensional motion (see Laurens et al, 2013b ; Laurens and Angelaki, 2015 ). Whereas 3D rotations have indeed been used to identify tilt-selective Purkinje cells in the vermis ( Laurens et al, 2013b ; Yakusheva et al, 2007 ), this is not true for other studies.…”

Section: Discussionmentioning

confidence: 99%

“…Whereas 3D rotations have indeed been used to identify tilt-selective Purkinje cells in the vermis ( Laurens et al, 2013b ; Yakusheva et al, 2007 ), this is not true for other studies. For example, Siebold et al, 1997 , Siebold et al, 1999 , 2001 ), Laurens and Angelaki, 2015 and Zhou et al (2006) have reported tilt-modulated cells in the rFN and VN, respectively, but because these neurons were not tested in three dimensions, the signals carried by these neurons remain unclear.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A unified internal model theory to resolve the paradox of active versus passive self-motion sensation

Laurens

Angelaki

2017

eLife

Self Cite

View full text Add to dashboard Cite

Brainstem and cerebellar neurons implement an internal model to accurately estimate self-motion during externally generated (‘passive’) movements. However, these neurons show reduced responses during self-generated (‘active’) movements, indicating that predicted sensory consequences of motor commands cancel sensory signals. Remarkably, the computational processes underlying sensory prediction during active motion and their relationship to internal model computations during passive movements remain unknown. We construct a Kalman filter that incorporates motor commands into a previously established model of optimal passive self-motion estimation. The simulated sensory error and feedback signals match experimentally measured neuronal responses during active and passive head and trunk rotations and translations. We conclude that a single sensory internal model can combine motor commands with vestibular and proprioceptive signals optimally. Thus, although neurons carrying sensory prediction error or feedback signals show attenuated modulation, the sensory cues and internal model are both engaged and critically important for accurate self-motion estimation during active head movements.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A unified internal model theory to resolve the paradox of active versus passive self-motion sensation

Laurens

Angelaki

2017

eLife

Self Cite

View full text Add to dashboard Cite

show abstract

“…Analysis. Spiking activity across all stimuli trials for a cell was analyzed via linear regression for gain and phase response to tilt and translation motion, following published procedures (17,24). Briefly, neuronal activity was converted into a spike density function, then each cycle was fit with a cosine function, with a complex number representing gain and phase.…”

Section: Methodsmentioning

confidence: 99%

“…Cells were classified as tilt, translation, or GIA-selective if one of the three simple model categories provided a better fit than the other two simple models in more than 95% of bootstrapped resamples; otherwise, the cell was classified as composite (see SI Appendix, Extended Materials and Methods and ref. 24…”

Section: Motion-selective Purkinje Neurons Are Found Throughout the Pmentioning

confidence: 99%

Genetically eliminating Purkinje neuron GABAergic neurotransmission increases their response gain to vestibular motion

Stay

Laurens

Sillitoe

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

Purkinje neurons in the caudal cerebellar vermis combine semicircular canal and otolith signals to segregate linear and gravitational acceleration, evidence for how the cerebellum creates internal models of body motion. However, it is not known which cerebellar circuit connections are necessary to perform this computation. We first showed that this computation is evolutionarily conserved and represented across multiple lobules of the rodent vermis. Then we tested whether Purkinje neuron GABAergic output is required for accurately differentiating linear and gravitational movements through a conditional genetic silencing approach. By using extracellular recordings from lobules VI through X in awake mice, we show that silencing Purkinje neuron output significantly alters their baseline simple spike variability. Moreover, the cerebellum of genetically manipulated mice continues to distinguish linear from gravitational acceleration, suggesting that the underlying computations remain intact. However, response gain is significantly increased in the mutant mice over littermate controls. Altogether, these data argue that Purkinje neuron feedback regulates gain control within the cerebellar circuit.

show abstract

“…Purkinje cells also receive information about head movement kinematics from the semicircular canals and otoliths (for review see (Laurens and Angelaki 2018)). An interesting aspect of these inputs is that they cannot distinguish between head tilt and translational acceleration.…”

Section: Elements Of Motor Behavior Represented In Purkinje Cell Discmentioning

confidence: 99%

Purkinje Cell Representations of Behavior: Diary of a Busy Neuron

2018

View full text Add to dashboard Cite

Fundamental for understanding cerebellar function is determining the representations in Purkinje cell activity, the sole output of the cerebellar cortex. Up to the present, the most accurate descriptions of the information encoded by Purkinje cells were obtained in the context of motor behavior and reveal a high degree of heterogeneity of kinematic and performance error signals encoded. The most productive framework for organizing Purkinje cell firing representations is provided by the forward internal model hypothesis. Direct tests of this hypothesis show that individual Purkinje cells encode two different forward models simultaneously, one for effector kinematics and one for task performance. Newer results demonstrate that the timing of simple spike encoding of motor parameters spans an extend interval of up to ±2 seconds. Furthermore, complex spike discharge is not limited to signaling errors, can be predictive, and dynamically controls the information in the simple spike firing to meet the demands of upcoming behavior. These rich, diverse, and changing representations highlight the integrative aspects of cerebellar function and offer the opportunity to generalize the cerebellar computational framework over both motor and non-motor domains.

show abstract

How the Vestibulocerebellum Builds an Internal Model of Self-motion

Cited by 11 publications

References 36 publications

A unified internal model theory to resolve the paradox of active versus passive self-motion sensation

A unified internal model theory to resolve the paradox of active versus passive self-motion sensation

Genetically eliminating Purkinje neuron GABAergic neurotransmission increases their response gain to vestibular motion

Purkinje Cell Representations of Behavior: Diary of a Busy Neuron

Contact Info

Product

Resources

About