Cochlear Adaptation In Guinea Pigs

Eggermont, Jos J.; Spoor, A.

doi:10.3109/00206097309089320

Cited by 10 publications

(8 citation statements)

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“…Firing rates from single auditory nerve fibers as well as response magnitudes to compound measures, such as compound action potentials (Abbas and Gorga 1981;Eggermont and Spoor 1982;Spoor et al 1976) and frequency following responses (Chimento and Schreiner 1990), show a pronounced transient change after intensity changes of the signal. For amplitude increments, the responses show a large initial increase that declines and asymptotes to a new, higher steady-state level.…”

Section: Introductionmentioning

confidence: 98%

Short-Term Adaptation of Auditory Receptive Fields to Dynamic Stimuli

Kvale

Schreiner

2004

Journal of Neurophysiology

129

100

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Short-term adaptation and recovery from adaptation have a strong impact on the processing of dynamic stimuli. Adaptive effects on neuronal activity have been studied most commonly for changes in first-order statistics of stimuli such as stepwise increments or decrements in stimulus amplitude. However, changes in higher moment statistics, such as the variance of the amplitude distribution in visual stimuli, also can invoke pronounced adaptation behavior. We demonstrate here that neurons in the inferior colliculus (ICC) of the cat show adaptation to dynamic auditory stimuli that differ in the variance of their modulation depth distribution. In addition, it is shown that neurons show adaptation to other higher moment statistics (e.g., kurtosis) of the modulation envelope. The time course of adaptation is specific for the altered stimulus property and the direction of parameter change. The use of dynamic stimuli allows an estimate of the effects of the adaptation on the temporal response properties of the neurons. We demonstrate that temporal receptive fields of neurons undergo change during the course of adaptation. We show that adaptation to variance in the ICC has many similarities to that in the retina and suggest that adaptation to variance is a general property of sensory systems that allows them to effectively deal with a nonstationary environment.

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Section: Introductionmentioning

confidence: 98%

Short-Term Adaptation of Auditory Receptive Fields to Dynamic Stimuli

Kvale

Schreiner

2004

Journal of Neurophysiology

129

100

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“…Experimental studies on auditory adaptation at the neural level have generally been conducted in animal models (cat and rodent) by recording compound action potentials (Eggermont and Spoor 1973;Abbas 1984;Schreiner 1990, 1992) or action potentials from single auditory nerve fibers (Smith and Zwislocki 1975;Smith 1977Smith , 1979Harris and Dallos 1979;Westerman and Smith 1984;Rhode and Smith 1985;Yates et al 1985;Javel 1996). In the auditory nerve (AN), the compound action potential (CAP) in response to a transient sound is characterized by a negative deflection, reflecting the synchronized discharges of several individual fibers.…”

Section: Introductionmentioning

confidence: 99%

“…In the auditory nerve (AN), the compound action potential (CAP) in response to a transient sound is characterized by a negative deflection, reflecting the synchronized discharges of several individual fibers. In response to a variety of different stimulus types such as high frequency tones (Gorga and Abbas 1981;Abbas 1984), low frequency tones (Chimento and Schreiner 1990, 1992), short repetitive tone-bursts (Peake et al 1962a(Peake et al , 1962bEggermont and Spoor 1973;Müller and Robertson 1991), or click trains (Kiang et al 1965;Wickesberg and Stevens 1998), both techniques (CAP and single unit recordings) yielded similar results, namely an initial rapid decrease of CAP amplitude or firing rate during the first few milliseconds (rapid adaptation), followed by a slower decay over tens of milliseconds (short-term adaptation), and then an even slower decrease over several seconds (long-term adaptation) or minutes (very long-term adaptation). The similarity of adaptation patterns to pure tones and to series of clicks could possibly be attributed to the fact that at high repetition rates, the latter stimulus is close to a cosine-phase harmonic complex (Hafter and Richards 1988).…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, small differences were reported at the single unit level, especially between high and low spontaneous rate AN fiber populations (Rhode and Smith 1985;Müller and Robertson 1991), suggesting that different mechanisms may underlie adaptation. Moreover, it is important to note that the measures of adaptation were essentially performed in two ways: either over the duration of the stimulus (Peake et al 1962a(Peake et al , 1962bEggermont and Spoor 1973;Westerman and Smith 1984;Müller and Robertson 1991;Javel 1996) or during the recovery period (Gorga and Abbas 1981;Abbas 1984;Chimento and Schreiner 1990, 1992. However, both approaches are closely related, and thus lead to comparable results (rapid, short-term, and long-term adaptation).…”

Section: Introductionmentioning

confidence: 99%

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Effects of intensity of repetitive acoustic stimuli on neural adaptation in the ventral cochlear nucleus of the rat

Loquet

Meyer

Rouiller

2003

Experimental Brain Research

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To study neural adaptation as a function of stimulus intensity, auditory near-field evoked potentials were recorded from the ventral cochlear nucleus in awake Long Evans rats. Responses to 250-ms trains of repetitive clicks (pulse rates ranging from 100 to 1000 pulses per second) were collected at stimulus intensities of 5, 10, 30, 50 and 70 dB SPL. The amplitude of the first negative (N1) component of the average evoked potentials to individual pulses in the train was measured by using a subtraction method. The N1 responses were normalized with respect to the highest cochlear nucleus potential observed in the train, and then plotted as a function of click position in the train. As expected, the general trend of the curves was an exponential decay reaching a plateau more or less rapidly as a function of both intensity and rate of stimulation. Fitting these curves with exponential decay equations revealed that the rapid time constant decreased for increasing stimulus intensities whereas the short-term time constant is relatively independent of intensity. The amount of adaptation (expressed as the ratio of the plateau to the first peak amplitude) was substantially less prominent at low intensities (5-10 dB SPL) and low rates (100-200 pulses per second) than at higher intensities and high rates. These results indicate that adaptation patterns obtained in the ventral cochlear nucleus by using near-field evoked potentials exhibit properties comparable to those already present at the level of the auditory nerve.

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“…When sensory neurons are stimulated with a long series of rapidly repeated stimuli, their response strength (spike count and/or rate) decreases for successive stimuli, and response latency increases (Coro et al 1998;Givois and Pollack 2000;Pasztor 1983). In cricket auditory receptors, as in mammals (Eggermont and Spoor 1973), the decline in response strength is greater the higher the sound level (Givois and Pollack 2000). This implies that neurons ipsilateral to the sound source, where stimulus intensity is higher, will experience a larger response decrement.…”

Section: Introductionmentioning

confidence: 99%

Encoding of Sound Localization Cues by an Identified Auditory Interneuron: Effects of Stimulus Temporal Pattern

Samson

Pollack

2002

Journal of Neurophysiology

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An important cue for sound localization is binaural comparison of stimulus intensity. Two features of neuronal responses, response strength, i.e., spike count and/or rate, and response latency, vary with stimulus intensity, and binaural comparison of either or both might underlie localization. Previous studies at the receptor-neuron level showed that these response features are affected by the stimulus temporal pattern. When sounds are repeated rapidly, as occurs in many natural sounds, response strength decreases and latency increases, resulting in altered coding of localization cues. In this study we analyze binaural cues for sound localization at the level of an identified pair of interneurons (the left and right AN2) in the cricket auditory system, with emphasis on the effects of stimulus temporal pattern on binaural response differences. AN2 spike count decreases with rapidly repeated stimulation and latency increases. Both effects depend on stimulus intensity. Because of the difference in intensity at the two ears, binaural differences in spike count and latency change as stimulation continues. The binaural difference in spike count decreases, whereas the difference in latency increases. The proportional changes in response strength and in latency are greater at the interneuron level than at the receptor level, suggesting that factors in addition to decrement of receptor responses are involved. Intracellular recordings reveal that a slowly building, long-lasting hyperpolarization is established in AN2. At the same time, the level of depolarization reached during the excitatory postsynaptic potential (EPSP) resulting from each sound stimulus decreases. Neither these effects on membrane potential nor the changes in spiking response are accounted for by contralateral inhibition. Based on comparison of our results with earlier behavioral experiments, it is unlikely that crickets use the binaural difference in latency of AN2 responses as the main cue for determining sound direction, leaving the difference in response strength, i.e., spike count and/or rate, as the most likely candidate.

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Cochlear Adaptation In Guinea Pigs

Cited by 10 publications

References 0 publications

Short-Term Adaptation of Auditory Receptive Fields to Dynamic Stimuli

Short-Term Adaptation of Auditory Receptive Fields to Dynamic Stimuli

Effects of intensity of repetitive acoustic stimuli on neural adaptation in the ventral cochlear nucleus of the rat

Encoding of Sound Localization Cues by an Identified Auditory Interneuron: Effects of Stimulus Temporal Pattern

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