Computation of inertial motion: Neural strategies to resolve ambiguous otolith information

Citation
De. Angelaki et al., Computation of inertial motion: Neural strategies to resolve ambiguous otolith information, J NEUROSC, 19(1), 1999, pp. 316-327
Citations number
45
Categorie Soggetti
Neurosciences & Behavoir
Journal title
JOURNAL OF NEUROSCIENCE
ISSN journal
02706474 → ACNP
Volume
19
Issue
1
Year of publication
1999
Pages
316 - 327
Database
ISI
SICI code
0270-6474(19990101)19:1<316:COIMNS>2.0.ZU;2-5
Abstract
According to Einstein's equivalence principle, inertial accelerations durin g translational motion are physically indistinguishable from gravitational accelerations experienced during tilting movements. Nevertheless, despite a mbiguous sensory representation of motion in primary otolith afferents, pri mate oculomotor responses are appropriately compensatory for the correct tr anslational component of the head movement. The neural computational strate gies used by the brain to discriminate the two and to reliably detect trans lational motion were investigated in the primate vestibule-ocular system. T he experimental protocols consisted of either lateral translations, roll ti lts, or combined translation-tilt paradigms. Results using both steady-stat e sinusoidal and transient motion profiles in darkness or near target viewi ng demonstrated that semicircular canal signals are necessary sensory cues for the discrimination between different sources of linear acceleration. Wh en the semicircular canals were inactivated, horizontal eye movements (appr opriate for translational motion) could no longer be correlated with head t ranslation, instead, translational eye movements totally reflected the erro neous primary otolith afferent signals and were correlated with the resulta nt acceleration, regardless of whether it resulted from translation or tilt . Therefore, at least for frequencies in which the vestibule-ocular reflex is important for gaze stabilization (>0.1 Hz), the oculomotor system discri minates between head translation and tilt primarily by sensory integration mechanisms rather than frequency segregation of otolith afferent informatio n. Nonlinear neural computational schemes are proposed in which not only li near acceleration information from the otolith receptors but also angular v elocity signals from the semicircular canals are simultaneously used by the brain to correctly estimate the source of linear acceleration and to elici t appropriate oculomotor responses.