Literature DB >> 32937099

Central Vestibular Tuning Arises from Patterned Convergence of Otolith Afferents.

Zhikai Liu1, Yukiko Kimura2, Shin-Ichi Higashijima2, David G C Hildebrand3, Joshua L Morgan4, Martha W Bagnall5.   

Abstract

As sensory information moves through the brain, higher-order areas exhibit more complex tuning than lower areas. Though models predict that complexity arises via convergent inputs from neurons with diverse response properties, in most vertebrate systems, convergence has only been inferred rather than tested directly. Here, we measure sensory computations in zebrafish vestibular neurons across multiple axes in vivo. We establish that whole-cell physiological recordings reveal tuning of individual vestibular afferent inputs and their postsynaptic targets. Strong, sparse synaptic inputs can be distinguished by their amplitudes, permitting analysis of afferent convergence in vivo. An independent approach, serial-section electron microscopy, supports the inferred connectivity. We find that afferents with similar or differing preferred directions converge on central vestibular neurons, conferring more simple or complex tuning, respectively. Together, these results provide a direct, quantifiable demonstration of feedforward input convergence in vivo.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  body balance; electrical synapse; feedforward excitation; high-pass tuning; neural computation; sensorimotor transformation; sensory encoding; vestibulospinal neuron

Year:  2020        PMID: 32937099      PMCID: PMC7704800          DOI: 10.1016/j.neuron.2020.08.019

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  77 in total

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Journal:  Nature       Date:  2017-05-10       Impact factor: 49.962

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Journal:  J Neurophysiol       Date:  1976-09       Impact factor: 2.714

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8.  Transformation of spatiotemporal dynamics in the macaque vestibular system from otolith afferents to cortex.

Authors:  Jean Laurens; Sheng Liu; Xiong-Jie Yu; Raymond Chan; David Dickman; Gregory C DeAngelis; Dora E Angelaki
Journal:  Elife       Date:  2017-01-11       Impact factor: 8.140

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  4 in total

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  4 in total

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