Rodent Sound Localization and Spatial Hearing

Lauer, Amanda M.; Engel, J.; Schrode, Katrina M.

doi:10.1007/978-3-319-92495-3_5

Cited by 9 publications

(6 citation statements)

References 91 publications

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“…, a clockwise-turn cell inhibiting a cell encoding counterclockwise posture). We reason such a circuit could facilitate sound localization by strongly encoding minute changes in head position, which inform the rat about the position of the head and ears relative to the ground (Lauer et al 2018). Gravity-relative head orientation may be of particular importance for animals with ear flaps, as such signals would convey the reliability of information arriving at each sensor ( i.e., ear), given their dissimilar concealment during natural motion.…”

Section: Discussionmentioning

confidence: 99%

Behavioral decomposition reveals rich encoding structure employed across neocortex

Mimica

Tombaz

Battistin

et al. 2022

Preprint

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The cortical population code is pervaded by activity patterns evoked by movement, but how such signals relate to the natural actions of unrestrained animals remains largely unknown, particularly in sensory areas. To address this we compared high-density neural recordings across four cortical regions (visual, auditory, somatosensory, motor) in relation to sensory modulation, posture, movement, and ethograms of freely foraging rats. Momentary actions, such as rearing or turning, were represented ubiquitously and could be decoded from all sampled structures. However, more elementary and continuous features, such as pose and movement, followed region-specific organization, with neurons in visual and auditory cortices preferentially encoding mutually distinct head-orienting features in world-referenced coordinates, and somatosensory and motor cortices principally encoding the trunk and head in egocentric coordinates. The tuning properties of synaptically coupled cells also exhibited connection patterns suggestive of different uses of behavioral information within and between regions. Together, our results speak for detailed, multi-level encoding of animal behavior subserving its dynamic employment in local cortical computations.

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Section: Discussionmentioning

confidence: 99%

Behavioral decomposition reveals rich encoding structure employed across neocortex

Mimica

Tombaz

Battistin

et al. 2022

Preprint

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“…One reason for this could be that we only corrected the average ILD across the frequency range of 5-80 kHz. Because ILDs are a function of frequency, and can be as high as ±30 dB in a high-frequency range ( Fig S1c, d), the ILD elimination stimulus may have had a remaining ILD in the high-frequency range that can be utilized by neurons (as suggested in a review study 16 ). Therefore, we conducted two additional experiments to clarify the role of ILDs in RF formation.…”

Section: Responses Of Sc Neurons To Monaural or Extended Ild Stimuli mentioning

confidence: 97%

Spectral cues are necessary to encode azimuthal auditory space in the mouse superior colliculus

Ito

Feldheim

et al. 2019

Preprint

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Sound localization plays a critical role in animal survival. To compute the incident sound direction, the animal can use three cues: interaural timing differences (ITDs), interaural level differences (ILDs) and the direction-dependent spectral filtering of the sound by the head and pinnae (spectral cues). Compared to ITDs and ILDs, little is known about how spectral cues contribute to the neural encoding of auditory space. Here we report on auditory space encoding in the mouse superior colliculus (SC). We show that the mouse SC contains neurons with spatially-restricted receptive fields (RFs) that form a topographic map of azimuthal auditory space. By eliminating each sound localization cue from the stimuli, we found that nasal RFs require spectral cues and temporal RFs require ILDs. Therefore, the lack of either cue results in the disruption of the azimuthal topographic map. These results demonstrate an unexpected role of spectral cues in azimuthal sound localization.

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“…For instance, passive studies might physically restrain the subject (Recanzone et al ., 2000; Lauer, Slee and May, 2011; Coen et al ., 2023), train them to hold still during the sound (Lomber and Malhotra, 2008; Lingner, Wiegrebe and Grothe, 2012; Town and Bizley, 2022), or use sounds so brief that they terminate before the subject can move (Kelly, 1980; Kavanagh and Kelly, 1987; Kacelnik et al ., 2006; Nodal et al ., 2010; Nodal, Bajo and King, 2012). For example, (Kelly, 1980) writes “Brief stimuli [were used] to eliminate the possibility of scanning movements of the head or body as a localization strategy.” Such approaches remove motor feedback in order to expose the precise sensory cues that animals can use to compute sound location (Goodman, Benichoux and Brette, 2013), as well as the underlying brainstem and cortical neural circuitry (Knudsen, 2002; Konishi, 2003; Grothe, Pecka and McAlpine, 2010; Keating and King, 2015; Lauer, Engel and Schrode, 2018; Middlebrooks, 2021). Our approach differs in three important ways.…”

Section: Discussionmentioning

confidence: 99%

“…Surprisingly, mice were significantly better at seeking out low-frequency sounds. This was unexpected because mice localizing sound rely mostly on interaural level differences, which are more prominent at high frequencies (Lauer, Engel and Schrode, 2018). (The mouse head is too small to exploit the other main binaural cue, interaural timing differences.)…”

Section: Mice Were Better Able To Seek Out Sounds With High Repetitio...mentioning

confidence: 99%

“…In natural behavior, humans and animals live in reverberant, multi-chambered environments such as buildings and burrows (Hartmann, 1983;Hu and Hoekstra, 2017). Interpreting the resulting echoes is an important function of auditory neural circuitry (Lauer 2018). In our task, mice may exploit the physical structure of the arena by ducking briefly into each chamber in order to detect the sound level, as opposed to relying on binaural cues in the center of the arena.…”

Section: Active Sound-seeking Versus Passive Sound Localizationmentioning

confidence: 99%

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Sound-seeking before and after hearing loss in mice

Mai,

Gargiullo,

Zheng

et al. 2024

Preprint

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How we move our bodies affects how we perceive sound. For instance, we can explore an environment to seek out the source of a sound and we can use head movements to compensate for hearing loss. How we do this is not well understood because many auditory experiments are designed to limit head and body movements. To study the role of movement in hearing, we developed a behavioral task called sound-seeking that rewarded mice for tracking down an ongoing sound source. Over the course of learning, mice more efficiently navigated to the sound. We then asked how auditory behavior was affected by hearing loss induced by surgical removal of the malleus from the middle ear. An innate behavior, the auditory startle response, was abolished by bilateral hearing loss and unaffected by unilateral hearing loss. Similarly, performance on the sound-seeking task drastically declined after bilateral hearing loss and did not recover. In striking contrast, mice with unilateral hearing loss were only transiently impaired on sound-seeking; over a recovery period of about a week, they regained high levels of performance, increasingly reliant on a different spatial sampling strategy. Thus, even in the face of permanent unilateral damage to the peripheral auditory system, mice recover their ability to perform a naturalistic sound-seeking task. This paradigm provides an opportunity to examine how body movement enables better hearing and resilient adaptation to sensory deprivation.

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Rodent Sound Localization and Spatial Hearing

Cited by 9 publications

References 91 publications

Behavioral decomposition reveals rich encoding structure employed across neocortex

Behavioral decomposition reveals rich encoding structure employed across neocortex

Spectral cues are necessary to encode azimuthal auditory space in the mouse superior colliculus

Sound-seeking before and after hearing loss in mice

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