Firing patterns of inferior colliculus neurons–histology and mechanism to change firing patterns in rat brain slices

Bal, Ramazan; Green, Gary; Rees, Adrian; Sanders, David J.

doi:10.1016/s0304-3940(01)02425-9

Cited by 32 publications

(36 citation statements)

References 15 publications

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“…The IC lies at least three synaptic stages beyond the auditory transducers, the cochlear hair cells, and is a site of extensive excitatory and inhibitory synaptic convergence. Some IC neurons also display intrinsic conductances that lead to adaptive responses in vitro (Sivaramakrishnan and Oliver, 2001;Bal et al, 2002). Finally, the IC, and its inputs, are subject to centrifugal influences (Zhang et al, 1997;Winer, 2006;Bajo et al, 2007;Lim and Anderson, 2007).…”

Section: Introductionmentioning

confidence: 99%

Rapid Neural Adaptation to Sound Level Statistics

Dean

Robinson

Harper

et al. 2008

Journal of Neuroscience

172

167

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Auditory neurons must represent accurately a wide range of sound levels using firing rates that vary over a far narrower range of levels. Recently, we demonstrated that this "dynamic range problem" is lessened by neural adaptation, whereby neurons adjust their inputoutput functions for sound level according to the prevailing distribution of levels. These adjustments in input-output functions increase the accuracy with which levels around those occurring most commonly are coded by the neural population. Here, we examine how quickly this adaptation occurs. We recorded from single neurons in the auditory midbrain during a stimulus that switched repeatedly between two distributions of sound levels differing in mean level. The high-resolution analysis afforded by this stimulus showed that a prominent component of the adaptation occurs rapidly, with an average time constant across neurons of 160 ms after an increase in mean level, much faster than our previous experiments were able to assess. This time course appears to be independent of both the timescale over which sound levels varied and that over which sound level distributions varied, but is related to neural characteristic frequency. We find that adaptation to an increase in mean level occurs more rapidly than to a decrease. Finally, we observe an additional, slow adaptation in some neurons, which occurs over a timescale of tens of seconds. Our findings provide constraints in the search for mechanisms underlying adaptation to sound level. They also have functional implications for the role of adaptation in the representation of natural sounds.

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Section: Introductionmentioning

confidence: 99%

Rapid Neural Adaptation to Sound Level Statistics

Dean

Robinson

Harper

et al. 2008

Journal of Neuroscience

172

167

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show abstract

“…The average range of input resistance of IC neurons is 44 to 116 M⍀ in intracellular recordings (Wagner 1994;Reetz and Ehret 1999;Bal et al 2002) and 240 to 644 M⍀ in whole-cell patch clamp recordings (Sivaramakrishnan and Oliver 2001). The higher input resistance with the latter is consistent with the smaller leak current in the whole-cell patch configuration.…”

Section: Passive Membrane Propertiesmentioning

confidence: 74%

“…Sustained-regular and buildup-pause patterns comprised 19% and 15% of the population, respectively, while onset cells were 9%. Other studies find that the sustained discharge pattern is prevalent in IC neurons (Table 10.2) (Li et al 1998;Reetz and Ehret 1999;Bal et al 2002).…”

Section: Onset Patternmentioning

confidence: 89%

“…Electrophysiologically identified categories, that is, rebound, buildup-pause, and so forth do not correlate with the morphologic classification of cells (Peruzzi et al 2000;Bal et al 2002). The passive membrane properties of flat and less-flat cells show no significant differences for input resistance, time constant, membrane capacitance, or resting potential (Reetz and Ehret 1999;Bal et al 2002). However, other morphologic features correlate with electrophysiological profiles (Peruzzi et al 2000).…”

Section: The Central Nucleusmentioning

confidence: 97%

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Biophysical Properties of Inferior Colliculus Neurons

Wu¹

2005

The Inferior Colliculus

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“…Combined with the diverse and likely mechanisms forming the offset response, the offset response pattern may be elicited by direct excitatory synaptic inputs at the end of the sound; the post-inhibitory rebound [95,101,102] (or the intrinsic conductance property) (Fig. 4A) or the interaction between late excitatory (input a in Fig.…”

Section: Local Neuronal Circuits Shaping the Offset Responsementioning

confidence: 99%

The function of offset neurons in auditory information processing

Xu¹,

Fu²,

Chen³

2014

Translational Neuroscience

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Offset neurons which respond to the termination of the sound stimulation may play important roles in auditory temporal information processing, sound signal recognition, and complex distinction. Two additional possible mechanisms were reviewed: neural inhibition and the intrinsic conductance property of offset neuron membranes. The underlying offset response was postulated to be located in the superior paraolivary nucleus of mice. The biological significance of the offset neurons was discussed as well.

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Firing patterns of inferior colliculus neurons–histology and mechanism to change firing patterns in rat brain slices

Cited by 32 publications

References 15 publications

Rapid Neural Adaptation to Sound Level Statistics

Rapid Neural Adaptation to Sound Level Statistics

Biophysical Properties of Inferior Colliculus Neurons

The function of offset neurons in auditory information processing

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