Functional organization and hemispheric comparison of primary auditory cortex in the common marmoset (<i>Callithrix jacchus</i>)

Philibert, Bénédicte; Beitel, Ralph E.; Nagarajan, Srikantan S.; Bonham, Ben H.; Schreiner, Christoph E.; Cheung, Steven W.

doi:10.1002/cne.20581

Cited by 46 publications

(36 citation statements)

References 41 publications

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“…Studies in anesthetized marmoset and other monkeys have demonstrated Q 10 values Ͻ7 (Table 1, Philibert et al 2005), which is comparable to auditory nerve responses in other studies. In one study, A1 units in owl monkeys trained in an auditory discrimination task were found to exhibit higher Q 10 values near the training frequencies compared with untrained owl monkeys (Recanzone et al 1993).…”

Section: Discussionsupporting

confidence: 80%

“…For marmosets, the bandwidths of auditory thalamus and cortex units (Figs. 2 and 3) are significantly narrower in the awake condition (the present study) than in ketamine-or pentobarbital-anesthetized conditions (Philibert et al 2005). Similarly, in awake macaque monkeys, Recanzone et al (2000) observed finely tuned A1 neurons with bandwidths smaller than or similar to that of the auditory nerve.…”

Section: Discussioncontrasting

confidence: 39%

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Fine frequency tuning in monkey auditory cortex and thalamus

Bartlett

Sadagopan

Wang³

2011

Journal of Neurophysiology

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Bartlett EL, Sadagopan S, Wang X. Fine frequency tuning in monkey auditory cortex and thalamus. J Neurophysiol 106: 849 -859, 2011. First published May 25, 2011 doi:10.1152/jn.00559.2010The frequency resolution of neurons throughout the ascending auditory pathway is important for understanding how sounds are processed. In many animal studies, the frequency tuning widths are about 1/5th octave wide in auditory nerve fibers and much wider in auditory cortex neurons. Psychophysical studies show that humans are capable of discriminating far finer frequency differences. A recent study suggested that this is perhaps attributable to fine frequency tuning of neurons in human auditory cortex (Bitterman Y, Mukamel R, Malach R, Fried I, Nelken I. Nature 451: 197-201, 2008). We investigated whether such fine frequency tuning was restricted to human auditory cortex by examining the frequency tuning width in the awake common marmoset monkey. We show that 27% of neurons in the primary auditory cortex exhibit frequency tuning that is finer than the typical frequency tuning of the auditory nerve and substantially finer than previously reported cortical data obtained from anesthetized animals. Fine frequency tuning is also present in 76% of neurons of the auditory thalamus in awake marmosets. Frequency tuning was narrower during the sustained response compared to the onset response in auditory cortex neurons but not in thalamic neurons, suggesting that thalamocortical or intracortical dynamics shape time-dependent frequency tuning in cortex. These findings challenge the notion that the fine frequency tuning of auditory cortex is unique to human auditory cortex and that it is a de novo cortical property, suggesting that the broader tuning observed in previous animal studies may arise from the use of anesthesia during physiological recordings or from species differences. medial geniculate; thalamocortical dynamics; bandwidth; marmoset FINE-GRAINED REPRESENTATION of sound frequency is critical for sound segregation and recognition (Bregman

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Section: Discussionsupporting

confidence: 80%

Section: Discussioncontrasting

confidence: 39%

Fine frequency tuning in monkey auditory cortex and thalamus

Bartlett

Sadagopan

Wang³

2011

Journal of Neurophysiology

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“…Furthermore, multiunit responses recorded from middle layers of barbiturate-anesthetized marmoset A1 showed predominantly V-shaped FRAs (X. Wang, unpublished data). Another multiunit study of the A1 in anesthetized marmosets (Philibert et al, 2005) also indicates a prevalence of V-shaped FRAs (Q 40 dB Ͻ Q 10 dB , suggesting V-shaped FRAs). Philibert et al (2005) concluded that the functional organization of marmoset A1 is similar to that found in the owl monkey (Recanzone et al, 1999) and the squirrel monkey (Cheung et al, 2001).…”

Section: Discussionmentioning

confidence: 92%

“…Another multiunit study of the A1 in anesthetized marmosets (Philibert et al, 2005) also indicates a prevalence of V-shaped FRAs (Q 40 dB Ͻ Q 10 dB , suggesting V-shaped FRAs). Philibert et al (2005) concluded that the functional organization of marmoset A1 is similar to that found in the owl monkey (Recanzone et al, 1999) and the squirrel monkey (Cheung et al, 2001). These studies suggest that, within the same species, different physiological states may lead to different response properties related to sound level.…”

Section: Discussionmentioning

confidence: 92%

Level Invariant Representation of Sounds by Populations of Neurons in Primary Auditory Cortex

Sadagopan

Wang²

2008

J. Neurosci.

133

168

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A fundamental feature of auditory perception is the constancy of sound recognition over a large range of intensities. Although this invariance has been described in behavioral studies, the underlying neural mechanism is essentially unknown. Here we show a putative level-invariant representation of sounds by populations of neurons in primary auditory cortex (A1) that may provide a neural basis for the behavioral observations. Previous studies reported that pure-tone frequency tuning of most A1 neurons widens with increasing sound level. In sharp contrast, we found that a large proportion of neurons in A1 of awake marmosets were narrowly and separably tuned to both frequency and sound level. Tuning characteristics and firing rates of the neural population were preserved across all tested sound levels. These response properties lead to a level-invariant representation of sounds over the population of A1 neurons. Such a representation is an important step for robust feature recognition in natural environments.

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“…Unlike the primary visual cortex, however, CF is the only receptive field feature that progresses in a smooth gradient across the entire spatial extent of an auditory cortical field. The spatial organization of other receptive field parameters, such as spectral bandwidth, binaural interaction type, minimum response latency, and intensity tuning exhibit nonrandom spatial organizations that are independent of CF but often take the form of spatially contiguous "patches" or "modules" (Heil et al 1994;Imig and Adrian 1977;Kelly and Sally 1988;Middlebrooks et al 1980;Nakamoto et al 2004;Philibert et al 2005;Recanzone et al 1999). With the exception of two reports describing a spatial organization for preferred intensity and binaural interaction type , the spatial organization of receptive fields for features other than CF were not described in any auditory cortical field for the rat.…”

Section: Introductionmentioning

confidence: 99%