Spectral and Temporal Modulation Tradeoff in the Inferior Colliculus

Rodríguez, Francisco Javier Álvarez; Read, Heather L.; Escabı́, Monty A.

doi:10.1152/jn.00813.2009

Cited by 78 publications

(127 citation statements)

References 67 publications

Supporting

Mentioning

111

Contrasting

Order By: Relevance

“…In our view, some recent neurophysiological findings appear to provide consensual validation of our behavioral and theoretical results (Rodr ıguez et al, 2010;Middlebrooks and Snyder, 2010). Both sets of investigators measured responses of neural units within the inferior colliculus (IC) of cats.…”

Section: Discussionsupporting

confidence: 68%

Sensitivity to envelope-based interaural delays at high frequencies: Center frequency affects the envelope rate-limitation

Bernstein¹,

Trahiotis²

2014

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

Sensitivity to ongoing interaural temporal disparities (ITDs) was measured using bandpass-filtered pulse trains centered at 4600, 6500, or 9200 Hz. Save for minor differences in the exact center frequencies, those target stimuli were those employed by Majdak and Laback [J. Acoust. Soc. Am. 125, 3903-3913 (2009)]. At each center frequency, threshold ITD was measured for pulse repetition rates ranging from 64 to 609 Hz. The results and quantitative predictions by a cross-correlationbased model indicated that (1) at most pulse repetition rates, threshold ITD increased with center frequency, (2) the cutoff frequency of the putative envelope low-pass filter that determines sensitivity to ITD at high envelope rates appears to be inversely related to center frequency, and (3) both outcomes were accounted for by assuming that, independent of the center frequency, the listeners' decision variable was a constant criterion change in interaural correlation of the stimuli as processed internally. The finding of an inverse relation between center frequency and the envelope rate limitation, while consistent with much prior literature, runs counter to the conclusion reached by Majdak and Laback.

show abstract

Section: Discussionsupporting

confidence: 68%

Sensitivity to envelope-based interaural delays at high frequencies: Center frequency affects the envelope rate-limitation

Bernstein¹,

Trahiotis²

2014

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

“…Frequency and temporal resolution are inversely related and shift systematically along the dorsoventral and caudal-rostral dimensions of the midbrain (Read et al, 2009;Rodriguez et al, 2010). We have suggested that this inverse relationship is a trade-off in optimal encoding of different features.…”

Section: Discussionmentioning

confidence: 82%

“…In the cat, response resolution for tone and modulated noise changes along the approximate caudal-to-rostral axis of the midbrain inferior colliculus (Read et al, 2009;Rodriguez et al, 2010;Schreiner and Langner, 1988). Changes in frequency organization and bandwidth also have been observed along the caudal-to-rostral axis in cat thalamus (Calford, 1983;Rodrigues-Dagaeff et al, 1989;Rouiller et al, 1989) and the dorsoventral dimension of cat primary auditory cortex (Read et al, 2002;Schreiner et al, 2000).…”

Section: Discussionmentioning

confidence: 99%

Thalamocortical pathway specialization for sound frequency resolution

Storace

Higgins

Read

2010

J of Comparative Neurology

Self Cite

View full text Add to dashboard Cite

Core auditory cortices are organized in parallel pathways that process incoming sensory information differently. In the rat, sound filtering properties of the primary (A1) and ventral (VAF) auditory fields are markedly different, yet both are core regions that by definition receive most of their thalamic input from the ventral nucleus (MGBv) of the medial geniculate body (MGB). For example, spike rate responses to sound intensity and frequency are more narrowly resolved in VAF vs. A1. Here we question whether there are anatomic correlates of the marked differences in response properties in these two core auditory fields. Combined Fourier optical imaging and multiunit recording methods were used to map tone frequency responses with high spatial resolution in A1, VAF, and neighboring cortices. The cortical distance representing a given octave was similar, yet response frequency resolution was about twice as large in VAF as in A1. Retrograde tracers were injected into low- and high-isofrequency contours of both regions to compare MGBv label patterns. The distance between clusters of MGBv neurons projecting to low- and high-isofrequency contours in the cortex was twice as large in caudal as in rostral MGB. This suggests that differences in A1 and VAF frequency resolution are related to the anatomic spatial resolution of frequency laminae in the thalamus, supporting a growing consensus that antecedents of cortical specialization can be attributed in part to the structural and functional characteristics of thalamocortical inputs.

show abstract

“…Electrophysiological investigations in several animal species have reported single neurons tuned to specific spectrotemporal modulations at various stages of the auditory pathway [e.g., inferior colliculus (8), auditory thalamus (9)] and in the primary auditory cortex (10,11). Intracranial electrocorticography (ECoG) recordings (12,13) as well as noninvasive functional neuroimaging studies (14,15) suggest that similar mechanisms are also in place in the human auditory cortex.…”

mentioning

confidence: 99%

Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns

Santoro

Moerel

Martino

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

106

152

View full text Add to dashboard Cite

Ethological views of brain functioning suggest that sound representations and computations in the auditory neural system are optimized finely to process and discriminate behaviorally relevant acoustic features and sounds (e.g., spectrotemporal modulations in the songs of zebra finches). Here, we show that modeling of neural sound representations in terms of frequency-specific spectrotemporal modulations enables accurate and specific reconstruction of real-life sounds from high-resolution functional magnetic resonance imaging (fMRI) response patterns in the human auditory cortex. Region-based analyses indicated that response patterns in separate portions of the auditory cortex are informative of distinctive sets of spectrotemporal modulations. Most relevantly, results revealed that in early auditory regions, and progressively more in surrounding regions, temporal modulations in a range relevant for speech analysis (∼2-4 Hz) were reconstructed more faithfully than other temporal modulations. In early auditory regions, this effect was frequency-dependent and only present for lower frequencies (<∼2 kHz), whereas for higher frequencies, reconstruction accuracy was higher for faster temporal modulations. Further analyses suggested that auditory cortical processing optimized for the fine-grained discrimination of speech and vocal sounds underlies this enhanced reconstruction accuracy. In sum, the present study introduces an approach to embed models of neural sound representations in the analysis of fMRI response patterns. Furthermore, it reveals that, in the human brain, even general purpose and fundamental neural processing mechanisms are shaped by the physical features of real-world stimuli that are most relevant for behavior (i.e., speech, voice).any natural and man-made sources in our environment produce acoustic waveforms (sounds) consisting of complex mixtures of multiple frequencies (Fig. 1A). At the cochlea, these waveforms are decomposed into frequency-specific temporal patterns of neural signals, typically described with auditory spectrograms (Fig. 1B). How complex sounds are further transformed and analyzed along the auditory neural pathway and in the cortex remains uncertain. Ethological considerations have led to the hypothesis that brain processing of sounds is optimized for spectrotemporal modulations, which are characteristically present in ecologically relevant sounds (1), such as in animal vocalizations [e.g., zebra finch (2), macaque monkeys (3)] and speech (2, 4-7). Modulations are regular variations of energy in time, in frequency, or in time and frequency simultaneously. Typically, in natural sounds, modulations dynamically change over time. The contribution of modulations to sound spectrograms can be made explicit using 4D (time-varying; Movies S1-S3, Left) or 3D (time-averaged; Fig. 1C) representations. Such representations highlight, for example, that the energy of human vocal sounds is mostly concentrated at lower frequencies and at lower temporal modulation rates (Fig. 1C, Left), whereas the...

show abstract

Spectral and Temporal Modulation Tradeoff in the Inferior Colliculus

Cited by 78 publications

References 67 publications

Sensitivity to envelope-based interaural delays at high frequencies: Center frequency affects the envelope rate-limitation

Sensitivity to envelope-based interaural delays at high frequencies: Center frequency affects the envelope rate-limitation

Thalamocortical pathway specialization for sound frequency resolution

Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns

Contact Info

Product

Resources

About