Development of activity patterns in auditory nerve fibres of pigeons

Richter, Claus Peter; Sauer, Gudrun; Hoidis, Silvi; Klinke, Rainer

doi:10.1016/0378-5955(96)00020-2

Cited by 12 publications

(10 citation statements)

References 47 publications

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“…We found that the frequency of spontaneous firing activity of the basilar papilla neurons increased at about 200% during development from E15 to P1. Some previous studies reported similar spontaneous rates to those found here (Salvi et al, 1992; Jones and Jones 2000; Sonntag et al, 2009), while others differed, showing lower spontaneous rates (Manley et al, 1991; Richter et al, 1996). Nevertheless, all agree about an increase of spontaneous rate between developing and mature stages of development.…”

Section: Discussionsupporting

confidence: 87%

Firing properties of auditory primary afferents from the basilar papilla in the chick

Galicia

Cortes

Cebada

et al. 2015

Intl J of Devlp Neuroscience

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We performed intracellular and single-unit extracellular recordings of neurons from different regions of the basilar papilla in the isolated chicken inner ear. We compared the spontaneous activity and the response properties of these neurons in embryos at E15 versus posthatching animals at P1. The recordings were carried out from the apical (position 0) to the basal extension at three positions of the basilar papilla, at 5%, 10% and 40% of the entire length of the cochlea. We found that the neurons at E15 recorded from these three regions exhibited a significant higher coefficient of variation compared with those neurons at P1 recorded in the same positions. This shows that in the posthatching age P1 the neurons from the whole basilar papilla become less irregular. We found that the intracellular action potential waveforms generated at E15 had small amplitudes and small depolarization slopes in comparison to those recorded at P1, respectively (53 ± 1 mV vs. 62 ± 2 mV; 66 ± 12 mV/msec vs. 166 ± 23 mV/msec). Furthermore, we also found that the response patterns to injection of current steps were phasic, tonic, or in the form of a not yet reported "burst" pattern. Our study shows that the low irregular discharge, the immature action potential waveforms, and the differences in the response patterns to current injection, highlights the important differences between neurons at E15 and P1, consistent with the incapacity of auditory neurons at embryonic age E16, to respond at sound levels <100 decibels.

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Section: Discussionsupporting

confidence: 87%

Firing properties of auditory primary afferents from the basilar papilla in the chick

Galicia

Cortes

Cebada

et al. 2015

Intl J of Devlp Neuroscience

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“…If the capacitative term of the neural membrane is not considered, the input current allows computation by Ohm's law of the intracellular voltage, which has been demonstrated to follow the normality and mean vs SD relationship as described in the present report (Steinmetz et al 2000). -Reproduction of noisy spike trains (Barlow et al 1971;Gómez et al 1986;Gummer 1991;Richter et al 1996). -The summing up of spikes is also a noisy Gaussian signal, as has been described for the abducens nerve in the oculomotor system, in which the properties of all neurons are known and, therefore, it is possible to describe the macroscopic properties of the nerve (Gómez et al 1989).…”

Section: Discussionmentioning

confidence: 98%

“…If a deterministic constant input is added, the threshold would be reached more easily, but the inter-spike geometrical distribution would be maintained. In naturalistic situations where a constant input is delivered on the neurons, the inter-spike distributions obtained are of different types; they could be normally distributed (Gómez et al 1986) or follow a Poisson distribution (Gummer 1991;Richter et al 1996) and, in general, appear as unimodal left-skewed distributions (Barlow et al 1971). Given that after an action potential there are profound changes in ionic conductance, producing phenomena such as after- Figure 5.…”

Section: Discussionmentioning

confidence: 98%

Numerical exploration of the influence of neural noise on the psychometric function at low stimulation intensity levels

Gómez

2008

J. Biosci.

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The relationship between stimulus intensity and the probability of detecting the presence of the stimulus is described by the psychometrical function.The probabilistic nature of this relationship is based on the stochastic behaviour of sensory neural channels and sensory networks involved in perceptual processing (Kiang 1968). This study tries to establish a continuum of variability across different levels of integration in the central nervous system. Once the opening and closing times of ionic channels was simulated, a threshold to the collective behaviour of voltage-gated ionic channels was imposed in order to generate the spike train of a single neuron. Afterwards,the trains of spikes of different neurons were added up,simulating the activity of a sensory nerve. By adding the activity due to the stimulus to the spontaneous neural behaviour,the psychometric function was simulated using a thresholding approach.The results can replicate the stochastic resonance phenomenon, but also open up the possibility that attentional phenomena can be mediated not only by increasing neural activity (bursting or oscillatory),but also by increasing noise at the neural level.

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“…The model of Peterson et al (), with its particular parameter values, will likely not provide an accurate description for these species because, in non‐mammalian vertebrates, multiple ribbons, even from different hair cells, provide the excitation for a given ANF (e.g., Fischer, ; Graydon et al, ; Keen and Hudspeth, ; Martinez‐Dunst et al, ; Sneary, ), and many release events fail to trigger spikes (Li et al, ; Schnee et al, ). Finally, the spontaneous spike trains of several low‐CF ANFs in amphibians, birds, and reptiles display preferred intervals, often corresponding to integer multiples of the inverse of the characteristic frequency (e.g., Crawford and Fettiplace, ; Eatock et al, ; Gummer, ; Jones and Jones, ; Klinke et al, ; Köppl, ; Koyama et al, ; Köppl and Manley, ; Manley, ; Manley et al, ; Neubauer et al, ; Richter et al, ; Temchin, ). Figure shows an example from an ANF of a barn owl.…”

Section: Spontaneous Activity In Anfs Of Non‐mammalian Vertebratesmentioning

confidence: 99%

Spike timing in auditory‐nerve fibers during spontaneous activity and phase locking

Heil

Peterson

2016

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In vertebrates, all acoustic information transmitted from the inner ear to the central auditory system is relayed by primary auditory afferents (auditory-nerve fibers; ANFs). These neurons are also the most peripheral elements to use action potentials (spikes) to encode the acoustic information. Here, we review what is known about the spiking of ANFs during spontaneous activity, when spike timing might be regarded as largely random, and during stimulation by low-frequency sounds, when spikes are phase locked to the stimulus waveform, a phenomenon generally considered a hallmark of temporal precision and speed in the auditory system. We focus on mammals, in which each ANF is driven by a single ribbon synapse in a single receptor cell, but also cover relevant research on ANFs of vertebrates from other classes. For spontaneous activity, we highlight several spike-history effects in interspike interval distributions, hazard-rate functions, serial interval correlations, and spike-count statistics. We also review models that have attempted to account for these properties. For phase locking, we focus on the responses to low-frequency tones, rather than to low-frequency components of broadband signals such as noise or clicks. We critically review the measures commonly used to quantify phase locking and urge caution when interpreting such measures with respect to spike-timing precision. We also review the dependence of phase locking on stimulus amplitude and frequency. Finally, we identify some open questions.

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Development of activity patterns in auditory nerve fibres of pigeons

Cited by 12 publications

References 47 publications

Firing properties of auditory primary afferents from the basilar papilla in the chick

Firing properties of auditory primary afferents from the basilar papilla in the chick

Numerical exploration of the influence of neural noise on the psychometric function at low stimulation intensity levels

Spike timing in auditory‐nerve fibers during spontaneous activity and phase locking

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