Auditory thalamus responses to guinea-pig vocalizations: A comparison between rat and guinea-pig

Philibert, Bénédicte; Laudanski, Jonathan; Edeline, Jean‐Marc

doi:10.1016/j.heares.2005.07.004

Cited by 32 publications

(29 citation statements)

References 23 publications

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“…Contradictory results have been reported, however, in both the auditory thalamus (Philibert et al, 2005;Huetz et al, 2009) and the IC (Suta et al, 2003) using anesthetized animals. This has led to speculation that selectivity may be species, state, and nuclei specific (Philibert et al, 2005). Our finding of neural population selectivity only for the simple vocalizations indicates that both strategies are present in the IC and that these previous results are not necessarily contradictory.…”

Section: Heterogeneous Response Properties In the Icmentioning

confidence: 90%

“…The "selectivity index" (Wang and Kadia, 2001;Philibert et al, 2005;Pincherli Castellanos et al, 2007) was chosen to quantify whether a neuron fired more often in response to a natural vocalization as opposed to one of its variants. This metric completely disregards the temporal qualities of the neural response b ជ and was calculated using the estimated spike rate r of b ជ over the complete recording window.…”

Section: Data Acquisition and Analysismentioning

confidence: 99%

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Efficient Encoding of Vocalizations in the Auditory Midbrain

Holmstrom¹,

Eeuwes²,

Roberts³

et al. 2010

J. Neurosci.

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An important question in sensory neuroscience is what coding strategies and mechanisms are used by the brain to detect and discriminate among behaviorally relevant stimuli. There is evidence that sensory systems migrate from a distributed and redundant encoding strategy at the periphery to a more heterogeneous encoding in cortical structures. It has been hypothesized that heterogeneity is an efficient encoding strategy that minimizes the redundancy of the neural code and maximizes information throughput. Evidence of this mechanism has been documented in cortical structures. In this study, we examined whether heterogeneous encoding of complex sounds contributes to efficient encoding in the auditory midbrain by characterizing neural responses to behaviorally relevant vocalizations in the mouse inferior colliculus (IC). We independently manipulated the frequency, amplitude, duration, and harmonic structure of the vocalizations to create a suite of modified vocalizations. Based on measures of both spike rate and timing, we characterized the heterogeneity of neural responses to the natural vocalizations and their perturbed variants. Using information theoretic measures, we found that heterogeneous response properties of IC neurons contribute to efficient encoding of behaviorally relevant vocalizations.

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Section: Heterogeneous Response Properties In the Icmentioning

confidence: 90%

Section: Data Acquisition and Analysismentioning

confidence: 99%

Efficient Encoding of Vocalizations in the Auditory Midbrain

Holmstrom¹,

Eeuwes²,

Roberts³

et al. 2010

J. Neurosci.

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“…At the thalamic level, the different MGB divisions showed similar proportions of cells responding to the four vocalizations, suggesting that lemniscal and nonlemniscal MGB had similar proportions of cells responding to conspecific vocalizations (see also Philibert et al, 2005). The percentage of dorsal MG (MGd) cells displaying a significant amount of information was systematically lower than in the medial MG (MGm) and in the ventral MG (MGv).…”

Section: Relationship Between Anatomic Location Of the Recorded Cellsmentioning

confidence: 92%

“…In these cases, a cell was classified as "responsive" to a particular vocalization if evoked responses were obtained for at least 10 of 20 presentations based on the rasters and histograms (5 ms bin), as evaluated by two of the authors. As previously described (Philibert et al, 2005), responsive cells can display different types of responses to vocalizations: (1) phasic (onset or offset) responses correspond to transient evoked discharges at the onset and/or the offset of the vocalizations, (2) phase-locked responses correspond to evoked discharges exhibiting multiple peaks during the purr and/or the chutter, and (3) sustained responses correspond to evoked firing rates above spontaneous activity occurring throughout the vocalization without noticeable temporal organization. Nonresponsive cells do not exhibit a significantly increased firing rate on stimulus presentation and sometimes show transient inhibition.…”

Section: Quantification Of Tuning Curves and Responses To Vocalizatiomentioning

confidence: 99%

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A Spike-Timing Code for Discriminating Conspecific Vocalizations in the Thalamocortical System of Anesthetized and Awake Guinea Pigs

Huetz¹,

Philibert²,

Edeline³

2009

J. Neurosci.

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101

103

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Understanding how communication sounds are processed and encoded in the central auditory system is critical to understanding the neural bases of acoustic communication. Here, we examined neuronal representations of species-specific vocalizations, which are communication sounds that many species rely on for survival and social interaction. In some species, the evoked responses of auditory cortex neurons are stronger in response to natural conspecific vocalizations than to their time-reversed, spectrally identical, counterparts. We applied information theory-based analyses to single-unit spike trains collected in the auditory cortex (n ϭ 139) and auditory thalamus (n ϭ 135) of anesthetized animals as well as in the auditory cortex (n ϭ 119) of awake guinea pigs during presentation of four conspecific vocalizations. Few thalamic and cortical cells (Ͻ10%) displayed a firing rate preference for the natural version of these vocalizations. In contrast, when the information transmitted by the spike trains was quantified with a temporal precision of 10 -50 ms, many cells (Ͼ75%) displayed a significant amount of information (i.e., Ͼ2SD above chance levels), especially in the awake condition. The computed correlation index between spike trains (R corr , defined by Schreiber et al., 2003) indicated similar spike-timing reliability for both the natural and time-reversed versions of each vocalization, but higher reliability for awake animals compared with anesthetized animals. Based on temporal discharge patterns, even cells that were only weakly responsive to vocalizations displayed a significant level of information. These findings emphasize the importance of temporal discharge patterns as a coding mechanism for natural communication sounds, particularly in awake animals.

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Physiological Properties of Neurons in the Medial Geniculate Body

Edeline

2010

The Auditory Cortex

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Auditory thalamus responses to guinea-pig vocalizations: A comparison between rat and guinea-pig

Cited by 32 publications

References 23 publications

Efficient Encoding of Vocalizations in the Auditory Midbrain

Efficient Encoding of Vocalizations in the Auditory Midbrain

A Spike-Timing Code for Discriminating Conspecific Vocalizations in the Thalamocortical System of Anesthetized and Awake Guinea Pigs

Physiological Properties of Neurons in the Medial Geniculate Body

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