Spatial tuning and dynamics of vestibular semicircular canal afferents in rhesus monkeys

Haque, Asim; Angelaki, Dora E.; Dickman, J. David

doi:10.1007/s00221-003-1693-0

Cited by 60 publications

(75 citation statements)

References 43 publications

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“…Our results with sinusoidal stimuli confirmed those of previous studies showing that, although irregular and regular afferents have comparable gains at frequencies of 0.5 Hz, irregular afferents consistently displayed higher gains with increasing frequency (Goldberg and Fernandez, 1971b;Baird et al, 1988;Hullar and Minor, 1999;Goldberg, 2000;Haque et al, 2004;Hullar et al, 2005;Ramachandran and Lisberger, 2006;Sadeghi et al, 2006). Moreover, random stimuli gave rise to qualitatively similar gains, which is consistent with the traditional linear system's approach applied to the vestibular system.…”

Section: Neural Variability and Information Transmissionsupporting

confidence: 90%

“…Because CV varies with the mean ISI, we used a normalized measure CV* to classify afferents (Goldberg et al, 1984). Neurons with a CV* Ͻ 0.15 were classified as regular whereas those with a CV* Ն 0.15 were classified as irregular (Haque et al, 2004). Results were pooled between high-and low-gain irregular afferents .…”

Section: Methodsmentioning

confidence: 99%

“…These models have been applied to vestibular afferents (Goldberg and Fernandez, 1971b;Baird et al, 1988;Hullar and Minor, 1999;Haque et al, 2004;Hullar et al, 2005). Such models will underestimate the amount of information transmitted by regular afferents, because 30% of the information is carried in action potential timing.…”

Section: Role Of Intrinsic Noise Variability and System Nonlinearitmentioning

confidence: 99%

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Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System

Sadeghi¹,

Chacron²,

Taylor³

et al. 2007

J. Neurosci.

224

240

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A fundamental issue in neural coding is the role of spike timing variation in information transmission of sensory stimuli. Vestibular afferents are particularly well suited to study this issue because they are classified as either regular or irregular based on resting discharge variability as well as morphology. Here, we compared the responses of each afferent class to sinusoidal and random head rotations using both information theoretic and gain measures. Information theoretic measures demonstrated that regular afferents transmitted, on average, two times more information than irregular afferents, despite having significantly lower gains. Moreover, consistent with information theoretic measures, regular afferents had angular velocity detection thresholds that were 50% lower than those of irregular afferents (ϳ4 vs 8°/s). Finally, to quantify the information carried by spike times, we added spike-timing jitter to the spike trains of both regular and irregular afferents. Our results showed that this significantly reduced information transmitted by regular afferents whereas it had little effect on irregular afferents. Thus, information is carried in the spike times of regular but not irregular afferents. Using a simple leaky integrate and fire model with a dynamic threshold, we show that differential levels of intrinsic noise can explain differences in the resting discharge, the responses to sensory stimuli, as well as the information carried by action potential timings of each afferent class. Our experimental and modeling results provide new insights as to how neural variability influences the strategy used by two different classes of sensory neurons to encode behaviorally relevant stimuli.

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Section: Neural Variability and Information Transmissionsupporting

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Role Of Intrinsic Noise Variability and System Nonlinearitmentioning

confidence: 99%

See 1 more Smart Citation

Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System

Sadeghi¹,

Chacron²,

Taylor³

et al. 2007

J. Neurosci.

224

240

View full text Add to dashboard Cite

show abstract

“…Also superimposed in Figure 2 B are mean normalized response gain and phase obtained from primary semicircular canal afferents [green and blue lines; data from Haque et al (2004)] and VN neurons [red lines; data from Dickman and Angelaki (2004); no such data are currently available for cerebellar cells]. The similarity between thalamic and VN response dynamics is notable.…”

Section: Response Properties During Yaw Rotationmentioning

confidence: 96%

Vestibular Signals in Primate Thalamus: Properties and Origins

Hui¹,

May²,

Dickman³

et al. 2007

J. Neurosci.

131

162

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“…A stereotaxic needle held in a micromanipulator has been used to determine the planar geometry of the semicircular canals in several species, including rhesus and squirrel monkey (Blanks et al 1985;Haque et al 2003), turtle (Brichta et al 1988), rabbit (Ezure and Graf 1984;Mazza and Winterson 1984), guinea pig (Curthoys et al 1975), rat (Blanks and Torigoe 1989), and man (Blanks et al 1975a). This technique, however, is unlikely to be practical or accurate for an animal as small as the mouse.…”

Section: Introductionmentioning

confidence: 99%

Planar Relationships of the Semicircular Canals in Two Strains of Mice

Calabrese

Hullar

2006

JARO

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The mouse is increasingly important as a subject of vestibular research. Although many studies have focused on the vestibular responses of mice to angular rotation, the geometry of their semicircular canals has not been described. High-voltage X-ray computed tomography was used to measure the anatomy of the semicircular canals of two strains of mice, C57Bl/6J and CBA/CaJ. The horizontal plane of a stereotaxic coordinate system was defined by the midpoints of the external auditory meati and the point where the incisors emerge from the maxilla. The centroids of the lumens of the bony canals were calculated, and planes that describe the canals were fit using a least-squares regression analysis to the resulting points. Vectors normal to each regressed plane were used to represent the corresponding canal's axis of rotation, and angles of these vectors relative to skull landmarks as well as to each other were calculated. The horizontal canal of the mouse was found to be angled anteriorly upward 17.8-for CBA/CaJ and 32.6-for C57Bl/6J from the reference horizontal plane. Angles between ipsilateral canals deviated up to 12.3-from orthogonal, and angles between contralateral synergistic canals (left anterior-right posterior, right anterior-left posterior, and horizontal-horizontal) deviated from parallel by up to 14.8-. The orientations of the canals within the head as well as the orientations of the canals relative to each other were significantly different between the two strains, suggesting that care must be taken in the design and interpretation of developmental and physiologic studies involving different mouse strains.

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Spatial tuning and dynamics of vestibular semicircular canal afferents in rhesus monkeys

Cited by 60 publications

References 43 publications

Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System

Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System

Vestibular Signals in Primate Thalamus: Properties and Origins

Planar Relationships of the Semicircular Canals in Two Strains of Mice

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