Tonotopic organization and parcellation of auditory cortex in the FM‐bat Carollia perspicillata

Esser, Karl‐Heinz; Eiermann, Arne

doi:10.1046/j.1460-9568.1999.00789.x

Cited by 69 publications

(70 citation statements)

References 57 publications

(170 reference statements)

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“…Common principles of cortical organization are also observed in other mammalian species including bats (Esser and Eiermann, 1999; Hoffmann et al, 2008), gerbils (Budinger et al, 2000), guinea pigs (Wallace et al, 2002), rats (Polley et al, 2007; Storace et al, 2010), and mice (Hofstetter and Ehret, 1992; Hackett et al, 2011). Like the ferret, each of these species has a number of tonotopic areas, which are highly interconnected and which receive distinct patterns of thalamic input.…”

Section: Discussionmentioning

confidence: 75%

Cortico‐cortical connectivity within ferret auditory cortex

Bizley

Bajo

Nodal³

et al. 2015

J of Comparative Neurology

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Despite numerous studies of auditory cortical processing in the ferret (Mustela putorius), very little is known about the connections between the different regions of the auditory cortex that have been characterized cytoarchitectonically and physiologically. We examined the distribution of retrograde and anterograde labeling after injecting tracers into one or more regions of ferret auditory cortex. Injections of different tracers at frequency‐matched locations in the core areas, the primary auditory cortex (A1) and anterior auditory field (AAF), of the same animal revealed the presence of reciprocal connections with overlapping projections to and from discrete regions within the posterior pseudosylvian and suprasylvian fields (PPF and PSF), suggesting that these connections are frequency specific. In contrast, projections from the primary areas to the anterior dorsal field (ADF) on the anterior ectosylvian gyrus were scattered and non‐overlapping, consistent with the non‐tonotopic organization of this field. The relative strength of the projections originating in each of the primary fields differed, with A1 predominantly targeting the posterior bank fields PPF and PSF, which in turn project to the ventral posterior field, whereas AAF projects more heavily to the ADF, which then projects to the anteroventral field and the pseudosylvian sulcal cortex. These findings suggest that parallel anterior and posterior processing networks may exist, although the connections between different areas often overlap and interactions were present at all levels. J. Comp. Neurol. 523:2187–2210, 2015. © 2015 Wiley Periodicals, Inc.

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Section: Discussionmentioning

confidence: 75%

Cortico‐cortical connectivity within ferret auditory cortex

Bizley

Bajo

Nodal³

et al. 2015

J of Comparative Neurology

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“…These isofrequency bands stretch from one border of A1 to the other and have evoked questions of what additional neuronal feature(s) might be mapped along their length. Several candidate features have emerged from neurophysiological studies conducted in multiple mammalian species having non-specialized auditory systems, including modulation frequency (Langner et al 1997;Schulze and Langner 1997a,b), binaural dominance (Imig and Adrian 1977;Kelly and Judge 1994;Rutkowski et al 2000), sound source location (Clarey et al 1994;Middlebrooks et al 1998), frequency bandwidth (Cheung et al 2001;Philibert et al 2005;Read et al 2001;Recanzone et al 1999;Schreiner and Mendelson 1990), response threshold (Cheung et al 2001;Esser and Eiermann 1999;Philibert et al 2005;Recanzone et al 1999;Schreiner et al 1992) response latency (Cheung et al 2001;Mendelson et al 1997;Philibert et al 2005), rate-level monotonicity (Clarey et al 1994;Schreiner et al 1992) and frequency modulation (FM) sweep speed and direction (Godey et al 2005;Mendelson et al 1993;Shamma et al 1993;Zhang et al 2003). These features appear to be non-randomly distributed in A1, but clear evidence for a single feature mapped orthogonally to frequency has been elusive.…”

Section: Introductionmentioning

confidence: 99%

A computational framework for topographies of cortical areas

2009

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Self-organizing feature maps (SOFMs) represent a dimensionality-reduction algorithm that has been used to replicate feature topographies observed experimentally in primary visual cortex (V1). We used the SOFM algorithm to model possible topographies of generic sensory cortical areas containing up to five arbitrary physiological features. This study explored the conditions under which these multi-feature SOFMs contained two features that were mapped monotonically and aligned orthogonally with one another (i.e., "globally orthogonal"), as well as the conditions under which the map of one feature aligned with the longest anatomical dimension of the modeled cortical area (i.e., "dominant"). In a single SOFM with more than two features, we never observed more than one dominant feature, nor did we observe two globally orthogonal features in the same map in which a dominant feature occurred. Whether dominance or global orthogonality occurred depended upon how heavily weighted the features were relative to one another. The most heavily weighted features are likely to correspond to those physical stimulus properties transduced directly by the sensory epithelium of a particular sensory modality. Our results imply, therefore, that in the primary cortical area of sensory modalities with a two-dimensional sensory epithelium, these two features are likely to be organized globally orthogonally to one another, and neither feature is likely to be dominant. In the primary cortical area of sensory modalities with a one-dimensional sensory epithelium, however, this feature is likely to be dominant, and no two features are likely to be organized globally orthogonally to one another. Because the auditory system transduces a single stimulus feature (i.e., frequency) along the entire length of the cochlea, these findings may have particular relevance for topographic maps of primary auditory cortex.

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“…However, Esser and Eiermann (1999) have investigated the organization of the auditory cortex in a closely related phyllostomid bat species Carollia perspicillata. They described six different auditory fields including the primary auditory cortex (AI), a rostrally adjoining anterior auditory field (AAF), and two dorsally located auditory fields.…”

Section: Discussionmentioning

confidence: 99%

A Neural Correlate of Stochastic Echo Imaging

Firzlaff¹,

Schörnich²,

Hoffmann

et al. 2006

J. Neurosci.

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Bats quickly navigate through a highly structured environment relying on echolocation. Large natural objects in the environment, like bushes or trees, produce complex stochastic echoes, which can be characterized by the echo roughness. Previous work has shown that bats can use echo roughness to classify the stochastic properties of natural objects. This study provides both psychophysical and electrophysiological data to identify a neural correlate of statistical echo analysis in the bat Phyllostomus discolor. Psychophysical results show that the bats require a fixed minimum roughness of 2.5 (in units of base 10 logarithm of the stimulus fourth moment) for roughness discrimination. Electrophysiological results reveal a subpopulation of 15 of 94 recorded cortical units, located in an anterior region of auditory cortex, whose rate responses changed significantly with echo roughness. It is shown that the behavioral ability to discriminate differences in the statistics of complex echoes can be quantitatively predicted by the neural responses of this subpopulation of auditorycortical neurons.

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Tonotopic organization and parcellation of auditory cortex in the FM‐bat Carollia perspicillata

Cited by 69 publications

References 57 publications

Cortico‐cortical connectivity within ferret auditory cortex

Cortico‐cortical connectivity within ferret auditory cortex

A computational framework for topographies of cortical areas

A Neural Correlate of Stochastic Echo Imaging

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