Literature DB >> 17442812

Differential intrinsic response dynamics determine synaptic signal processing in frog vestibular neurons.

Mathieu Beraneck1, Sandra Pfanzelt, Isabelle Vassias, Martin Rohregger, Nicolas Vibert, Pierre-Paul Vidal, Lee E Moore, Hans Straka.   

Abstract

Central vestibular neurons process head movement-related sensory signals over a wide dynamic range. In the isolated frog whole brain, second-order vestibular neurons were identified by monosynaptic responses after electrical stimulation of individual semicircular canal nerve branches. Neurons were classified as tonic or phasic vestibular neurons based on their different discharge patterns in response to positive current steps. With increasing frequency of sinusoidally modulated current injections, up to 100 Hz, there was a concomitant decrease in the impedance of tonic vestibular neurons. Subthreshold responses as well as spike discharge showed classical low-pass filter-like characteristics with corner frequencies ranging from 5 to 20 Hz. In contrast, the impedance of phasic vestibular neurons was relatively constant over a wider range of frequencies or showed a resonance at approximately 40 Hz. Above spike threshold, single spikes of phasic neurons were synchronized with the sinusoidal stimulation between approximately 20 and 50 Hz, thus showing characteristic bandpass filter-like properties. Both the subthreshold resonance and bandpass filter-like discharge pattern depend on the activation of an I(D) potassium conductance. External current or synaptic stimulation that produced impedance increases (i.e., depolarization in tonic or hyperpolarization in phasic neurons) had opposite and complementary effects on the responses of the two types of neurons. Thus, membrane depolarization by current steps or repetitive synaptic excitation amplified synaptic inputs in tonic vestibular neurons and reduced them in phasic neurons. These differential, opposite membrane response properties render the two neuronal types particularly suitable for either integration (tonic neurons) or signal detection (phasic neurons), respectively, and dampens variations of the resting membrane potential in the latter.

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Year:  2007        PMID: 17442812      PMCID: PMC6672329          DOI: 10.1523/JNEUROSCI.5232-06.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  21 in total

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Review 7.  Interactions between intrinsic membrane and emerging network properties determine signal processing in central vestibular neurons.

Authors:  C Rössert; H Straka
Journal:  Exp Brain Res       Date:  2011-03-04       Impact factor: 1.972

8.  Subthreshold resonance properties contribute to the efficient coding of auditory spatial cues.

Authors:  Michiel W H Remme; Roberta Donato; Jason Mikiel-Hunter; Jimena A Ballestero; Simon Foster; John Rinzel; David McAlpine
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-19       Impact factor: 11.205

9.  Slope-based stochastic resonance: how noise enables phasic neurons to encode slow signals.

Authors:  Yan Gai; Brent Doiron; John Rinzel
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

10.  Frequency-Domain Analysis of Intrinsic Neuronal Properties using High-Resistant Electrodes.

Authors:  Christian Rössert; Hans Straka; Stefan Glasauer; Lee E Moore
Journal:  Front Neurosci       Date:  2009-08-20       Impact factor: 4.677

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