Asymmetric Integration Recorded From Vestibular-Only Cells  in Response to Position Transients

Musallam, Sam; Tomlinson, R. D.

doi:10.1152/jn.2002.88.4.2104

Cited by 18 publications

(13 citation statements)

References 49 publications

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“…The majority of these neurons appear to encode velocity or combinations of acceleration and velocity (Angelaki and Dickman 2000;Dickman and Angelaki 2002;Musallam and Tomlinson 2002;Shaikh et al 2005;Yakusheva et al 2008). Response dynamics have also been shown to vary with the direction of motion (Angelaki and Dickman 2000;Musallam and Tomlinson 2002). Using position-transient stimuli, Musallam and Tomlinson (2002) observed spatially asymmetric temporal integration in a population of VN neurons.…”

Section: Introductionmentioning

confidence: 99%

“…Response dynamics have also been shown to vary with the direction of motion (Angelaki and Dickman 2000;Musallam and Tomlinson 2002). Using position-transient stimuli, Musallam and Tomlinson (2002) observed spatially asymmetric temporal integration in a population of VN neurons. These neurons showed velocity-like responses to translation in one direction, but acceleration-like responses during motion in the opposite direction.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, central neurons as early as the brain stem vestibular nuclei (VN) and vestibulo-cerebellum show a diversity of response dynamics during translation. The majority of these neurons appear to encode velocity or combinations of acceleration and velocity (Angelaki and Dickman 2000;Dickman and Angelaki 2002;Musallam and Tomlinson 2002;Shaikh et al 2005;Yakusheva et al 2008). Response dynamics have also been shown to vary with the direction of motion (Angelaki and Dickman 2000;Musallam and Tomlinson 2002).…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Properties of Vestibular Responses in Area MSTd

Fetsch¹,

Rajguru²,

Karunaratne

et al. 2010

Journal of Neurophysiology

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Recent studies have shown that many neurons in the primate dorsal medial superior temporal area (MSTd) show spatial tuning during inertial motion and that these responses are vestibular in origin. Given their well-studied role in processing visual self-motion cues (i.e., optic flow), these neurons may be involved in the integration of visual and vestibular signals to facilitate robust perception of self-motion. However, the temporal structure of vestibular responses in MSTd has not been characterized in detail. Specifically, it is not known whether MSTd neurons encode velocity, acceleration, or some combination of motion parameters not explicitly encoded by vestibular afferents. In this study, we have applied a frequency-domain analysis to single-unit responses during translation in three dimensions (3D). The analysis quantifies the stimulus-driven temporal modulation of each response as well as the degree to which this modulation reflects the velocity and/or acceleration profile of the stimulus. We show that MSTd neurons signal a combination of velocity and acceleration components with the velocity component being stronger for most neurons. These two components can exist both within and across motion directions, although their spatial tuning did not show a systematic relationship across the population. From these results, vestibular responses in MSTd appear to show characteristic features of spatiotemporal convergence, similar to previous findings in the brain stem and thalamus. The predominance of velocity encoding in this region may reflect the suitability of these signals to be integrated with visual signals regarding self-motion perception.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Properties of Vestibular Responses in Area MSTd

Fetsch¹,

Rajguru²,

Karunaratne

et al. 2010

Journal of Neurophysiology

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“…Musallam and Tomlinson (2002) found directional asymmetry in the response of vestibular-only (NEM) neurons to linear acceleration transients. In response to unidirectional transient linear accelerations along the nasooccipital and interaural orientations, these authors found that in one direction the cells responded relative to linear velocity, whereas in the other direction the neurons were acceleration sensitive.…”

Section: Discussionmentioning

confidence: 97%

Response Linearity of Alert Monkey Non-Eye Movement Vestibular Nucleus Neurons During Sinusoidal Yaw Rotation

Newlands

Lin²,

Wei³

2009

Journal of Neurophysiology

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Newlands SD, Lin N, Wei M. Response linearity of alert monkey non-eye movement vestibular nucleus neurons during sinusoidal yaw rotation. J Neurophysiol 102: 1388 -1397, 2009. First published June 24, 2009 doi:10.1152/jn.90914.2008. Vestibular afferents display linear responses over a range of amplitudes and frequencies, but comparable data for central vestibular neurons are lacking. To examine the effect of stimulus frequency and magnitude on the response sensitivity and linearity of non-eye movement central vestibular neurons, we recorded from the vestibular nuclei in awake rhesus macaques during sinusoidal yaw rotation at frequencies between 0.1 and 2 Hz and between 7.5 and 210°/s peak velocity. The dynamics of the neurons' responses across frequencies, while holding peak velocity constant, was consistent with previous studies. However, as the peak velocity was varied, while holding the frequency constant, neurons demonstrated lower sensitivities with increasing peak velocity, even at the lowest peak velocities tested. With increasing peak velocity, the proportion of neurons that silenced during a portion of the response increased. However, the decrease in sensitivity of these neurons with higher peak velocities of rotation was not due to increased silencing during the inhibitory portion of the cycle. Rather the neurons displayed peak firing rates that did not increase in proportion to head velocity as the peak velocity of rotation increased. These data suggest that, unlike vestibular afferents, the central vestibular neurons without eye movement sensitivity examined in this study do not follow linear systems principles even at low velocities. I N T R O D U C T I O NResponses of mammalian vestibular neurons, both peripheral and central, have been described for various stimulation paradigms. In vestibular afferent fibers, trade-off between the sensitivity of the cell's response and its linear range has been reported. Slow firing but sensitive irregular afferents effectively code acceleration only in the excitatory direction because once the firing rate of the neuron reaches inhibitory cutoff (rate of zero) the response of the cell remains zero (unchanged) with progressively more vigorous stimulation (Goldberg and Fernandez 1971b). Although the dynamics of vestibular afferent responses have been discussed extensively, less well understood is the impact of inhibitory cutoff and other nonlinearities in central vestibular neurons on the function of the vestibular system overall. Despite the known asymmetries in the primary afferent discharge, central mechanisms, especially the presence of a commissural system that provides informational redundancy in the vestibular nuclei, have been proposed to fill in the missing inhibitory information from one side of the midline with excitatory information from the other side (Abend 1978) to enable a linear output. Other authors have speculated on the possibilities of nonlinear processing in the central vestibular system ) and the role of population coding, which might provide...

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“…Moreover, research has revealed the existence of neurons with receptive fields tuned to stimuli or cues relating to displacement, velocity, acceleration, or a mixture of these attributes. Examples of such neuronal classes can be found in the vestibular system of primates [20], the whisker-trigeminal system in rodents [21], the motor cortex of felines [22], and the crab chordotonal organs [18], to name a few. These studies demonstrate the significance and universality of integrating and differentiating modalities in neuronal information coding, from the cellular to the system level.…”

Section: Discussionmentioning

confidence: 99%

Transformation of neuronal modes associated with low-Mg2 + /high-K + conditions in an in vitro model of epilepsy

et al. 2009

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Nonparametric system modeling constitutes a robust method for the analysis of physiological systems as it can be used to identify nonlinear dynamic input-output relationships and facilitate their description. First-and second-order kernels of hippocampal CA3 pyramidal neurons in an in vitro slice preparation were computed using the Volterra-Wiener approach to investigate system changes associated with epileptogenic lowmagnesium/high-potassium (low-Mg 2+ /high-K + ) conditions. The principal dynamic modes (PDMs) of neurons were calculated from the first-and second-order kernel estimates in order to characterize changes in neural coding functionality. From our analysis, an increase in nonlinear properties was observed in kernels under low-Mg 2+ /high-K + . Furthermore, the PDMs revealed that the sampled hippocampal CA3 neurons were primarily of integrating character and that the contribution of a differentiating mode component was enhanced under low-Mg 2+ /high-K + .

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Asymmetric Integration Recorded From Vestibular-Only Cells in Response to Position Transients

Cited by 18 publications

References 49 publications

Spatiotemporal Properties of Vestibular Responses in Area MSTd

Spatiotemporal Properties of Vestibular Responses in Area MSTd

Response Linearity of Alert Monkey Non-Eye Movement Vestibular Nucleus Neurons During Sinusoidal Yaw Rotation

Transformation of neuronal modes associated with low-Mg2 + /high-K + conditions in an in vitro model of epilepsy

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