Abstract:Neurons in the inferior colliculus (IC), one of the major integrative centers of the auditory system, process acoustic information converging from almost all nuclei of the auditory brain stem. During this integration, excitatory and inhibitory inputs arrive to auditory neurons at different time delays. Result of this integration determines timing of IC neuron firing. In the mammalian IC, the range of the first spike latencies is very large (5-50 ms). At present, a contribution of excitatory and inhibitory inpu… Show more
“…It has also been demonstrated that neurons exhibiting forward suppression that persists for hundreds of milliseconds do not show inhibitory conductances for longer than 50–100 ms. In our present and previous intracellular studies (Voytenko and Galazyuk 2007, 2008), we also rarely observed membrane hyperpolarizations in the IC lasting longer than 50 ms, even though suppression can last for hundreds of milliseconds. In an attempt to identify a possible cellular mechanism underlying this long-lasting suppression, we tested whether input resistance in IC neurons was altered during the suppression.…”
Section: Discussionsupporting
confidence: 77%
“…9A, C, E). When the sound level was increased to 80 dB SPL, this neuron showed typical response patterns for IC neurons: IPSP-EPSP-spike-IPSP (Voytenko and Galazyuk, 2007, 2008; Peterson et al, 2008) followed by a suppression of spontaneous firing that lasted about 100 ms (Fig. 9B).…”
Section: Resultsmentioning
confidence: 83%
“…In vivo intracellular recordings in the IC have revealed hyperpolarizations that exceed the duration of the sound stimulus in many neurons (Nelson and Erulkar 1963; Torterolo et al 1995; Covey et al 1996; Kuwada et al 1997; Pedemonte et al 1997, Voytenko and Galazyuk 2007; 2008; Peterson et al, 2008). However, these potentials lasted less than 100 ms after the end of a stimulus, even in barbiturate anesthetized animals (Covey et al 1996; Kuwada et al 1997; Pedemonte et al 1997).…”
Spontaneous activity is a well-known neural phenomenon that occurs throughout the brain and is essential for normal development of auditory circuits and for processing of sounds. Spontaneous activity could interfere with sound processing by reducing the signal-to-noise ratio. Multiple studies have reported that spontaneous activity in auditory neurons can be suppressed by sound stimuli. The goal of this study was to determine the stimulus conditions that cause this suppression and to identify possible underlying mechanisms. Experiments were conducted in the inferior colliculus (IC) of awake little brown bats using extracellular and intracellular recording techniques. The majority of IC neurons (82%) fired spontaneously, with a median spontaneous firing rate of 6 spikes/sec. After offset of a 4 ms sound, more than half of these neurons exhibited suppression of spontaneous firing that lasted hundreds of milliseconds. The duration of suppression increased with sound level. Intracellular recordings showed that a short (<50ms) membrane hyperpolarization was often present during the beginning of suppression, but it was never observed during the remainder of the suppression. Beyond the initial 50 ms period, the absence of significant changes in input resistance during suppression suggests that suppression is presynaptic in origin. Namely, it may occur on presynaptic terminals and/or elsewhere on presynaptic neurons. Suppression of spontaneous firing may serve as a mechanism for enhancing signal-to-noise ratios during signal processing.
“…It has also been demonstrated that neurons exhibiting forward suppression that persists for hundreds of milliseconds do not show inhibitory conductances for longer than 50–100 ms. In our present and previous intracellular studies (Voytenko and Galazyuk 2007, 2008), we also rarely observed membrane hyperpolarizations in the IC lasting longer than 50 ms, even though suppression can last for hundreds of milliseconds. In an attempt to identify a possible cellular mechanism underlying this long-lasting suppression, we tested whether input resistance in IC neurons was altered during the suppression.…”
Section: Discussionsupporting
confidence: 77%
“…9A, C, E). When the sound level was increased to 80 dB SPL, this neuron showed typical response patterns for IC neurons: IPSP-EPSP-spike-IPSP (Voytenko and Galazyuk, 2007, 2008; Peterson et al, 2008) followed by a suppression of spontaneous firing that lasted about 100 ms (Fig. 9B).…”
Section: Resultsmentioning
confidence: 83%
“…In vivo intracellular recordings in the IC have revealed hyperpolarizations that exceed the duration of the sound stimulus in many neurons (Nelson and Erulkar 1963; Torterolo et al 1995; Covey et al 1996; Kuwada et al 1997; Pedemonte et al 1997, Voytenko and Galazyuk 2007; 2008; Peterson et al, 2008). However, these potentials lasted less than 100 ms after the end of a stimulus, even in barbiturate anesthetized animals (Covey et al 1996; Kuwada et al 1997; Pedemonte et al 1997).…”
Spontaneous activity is a well-known neural phenomenon that occurs throughout the brain and is essential for normal development of auditory circuits and for processing of sounds. Spontaneous activity could interfere with sound processing by reducing the signal-to-noise ratio. Multiple studies have reported that spontaneous activity in auditory neurons can be suppressed by sound stimuli. The goal of this study was to determine the stimulus conditions that cause this suppression and to identify possible underlying mechanisms. Experiments were conducted in the inferior colliculus (IC) of awake little brown bats using extracellular and intracellular recording techniques. The majority of IC neurons (82%) fired spontaneously, with a median spontaneous firing rate of 6 spikes/sec. After offset of a 4 ms sound, more than half of these neurons exhibited suppression of spontaneous firing that lasted hundreds of milliseconds. The duration of suppression increased with sound level. Intracellular recordings showed that a short (<50ms) membrane hyperpolarization was often present during the beginning of suppression, but it was never observed during the remainder of the suppression. Beyond the initial 50 ms period, the absence of significant changes in input resistance during suppression suggests that suppression is presynaptic in origin. Namely, it may occur on presynaptic terminals and/or elsewhere on presynaptic neurons. Suppression of spontaneous firing may serve as a mechanism for enhancing signal-to-noise ratios during signal processing.
“…30 dB nHL). This fi nding can be explained, at least partially, by the fact that high stimulus intensities produce better neural-fi ring effi ciency and less temporal jitter in single neuron recordings in the auditory nerve (Miller et al, 2006;Imennov & Rubinstein, 2009), and brainstem nuclei (Keller & Takahashi, 2000;Voytenko & Galazyuk, 2008). Briefl y, fi ring effi ciency can be computed as a ratio of the number of neuronal spikes elicited and the number of times the stimulus is presented.…”
Section: Exponential Modeling Of the Ffr Trends Of Pitch-encoding In mentioning
The exponential model, combined with the five objective indices, can be used for difficult-to-test patients and may prove to be useful as an assessment and diagnostic method in both clinical and basic research efforts.
“…It has been shown previously that the first-spike latency contains important information in auditory, visual, olfactory, and somatosensory modalities (Furukawa & Middlebrooks, 2002;Kalluri & Delgutte, 2003;Panzeri, Petersen, Schultz, Lebedev, & Diamond, 2001;Reich, Mechler, & Victor, 2001;Rospars, Lansky, Duchamp, & DuchapViret, 2003). Namely, experimental results have demonstrated that spike timing carries additional information to the spike rate (Wiener & Richmond, 2003;Voytenko & Galazyuk, 2008;Perrinet, Samuelides, & Thorpe, 2004;. Due to these reasons, determination of the response latencies of one or more neurons was studied under different situations.…”
A new statistical method for the estimation of the response latency is proposed. When spontaneous discharge is present, the first spike after the stimulus application may be caused by either the stimulus itself, or it may appear due to the prevailing spontaneous activity. Therefore, an appropriate method to deduce the response latency from the time to the first spike after the stimulus is needed. We develop a nonparametric estimator of the response latency based on repeated stimulations. A simulation study is provided to show how the estimator behaves with an increasing number of observations and for different rates of spontaneous and evoked spikes. Our nonparametric approach requires very few assumptions. For comparison, we also consider a parametric model. The proposed probabilistic model can be used for both single and parallel neuronal spike trains. In the case of simultaneously recorded spike trains in several neurons, the estimators of joint distribution and correlations of response latencies are also introduced. Real data from inferior colliculus auditory neurons obtained from a multielectrode probe are studied to demonstrate the statistical estimators of response latencies and their correlations in space.
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