Animal models for auditory streaming

Itatani, Naoya; Klump, Georg M.

doi:10.1098/rstb.2016.0112

Cited by 22 publications

(23 citation statements)

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“…From a neurophysiological perspective, selective attention is when the affinity for one stimulus is heightened by means of the stimulation of some neurons and the inhibition of other neurons (Kastner and Ungerleider , Treue ). To segregate irrelevant acoustic stimuli from relevant ones into different auditory streams (i.e., auditory stream segregation; Bregman ), neurons tuned to a set of physical acoustic properties of the relevant signal are thought to be favored at the detriment of the neurons associated with features of irrelevant stimuli (see Klump , Itatani and Klump ). When acoustic scene analysis is not possible, individuals may not be able to react appropriately to environmental stimuli, consequently leading to fitness‐related costs (Fay ).…”

Section: Auditory Scene Analysismentioning

confidence: 99%

“…Since many animals communicate in groups and are subject to interfering noise, evidence of acoustic scene analyses has been found in many taxa such as non‐human mammals, birds, frogs, and fish (reviewed in Lewicki et al. , Itatani and Klump ). For example, tree frogs in the genus Hyla are able to discriminate among conspecifics and heterospecifics in choruses (see Bee ) and European Starlings can identify songs of known individuals among a chorus of multiple conspecifics (Wisniewski and Hulse ).…”

Section: Auditory Scene Analysismentioning

confidence: 99%

“…In humans, this phenomenon has been extensively explored, especially in the context of the "cocktail party problem," which implies that an individual in a cocktail party setting is challenged to isolate the voice of one individual from an assortment of other voices (Cherry 1953, Wood and Cowan 1995, Conway et al 2001. Since many animals communicate in groups and are subject to interfering noise, evidence of acoustic scene analyses has been found in many taxa such as nonhuman mammals, birds, frogs, and fish (reviewed in Lewicki et al 2014, Itatani andKlump 2017). For example, tree frogs in the genus Hyla are able to discriminate among conspecifics and heterospecifics in choruses (see Bee 2015) and European Starlings can identify songs of known individuals among a chorus of multiple conspecifics (Wisniewski and Hulse 1997).…”

Section: Auditory Scene Analysismentioning

confidence: 99%

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Integrating multiple disciplines to understand effects of anthropogenic noise on animal communication

Rosa

Koper

2018

Ecosphere

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Citation: Rosa, P., and N. Koper. 2018. Integrating multiple disciplines to understand effects of anthropogenic noise on animal communication. Ecosphere 9(2):e02127. 10.1002/ecs2.2127Abstract. Anthropogenic noise is pervasive and may affect wildlife in many ways. Anthropogenic noise also adds to the acoustic environment's complexity, making it more difficult for animals to detect and discriminate among important signals. By integrating knowledge gained from research in experimental psychoacoustics, psychophysics, and neurophysiology into applied ecology, we can refine our understanding of the impacts of anthropogenic noise on wild populations. A multidisciplinary approach is particularly important for understanding signal perception, masking, auditory scene analysis, multimodal communication, and cross-modal interference. We demonstrate the benefits of using knowledge gained from a variety of different disciplines to understand masking effects of anthropogenic noise using our research on effects of petroleum infrastructure on grassland songbirds. Incorporating knowledge from diverse disciplines and involving several taxa, including humans, can help inform ecological conservation and management practices, and has the potential to help researchers generate novel and effective mitigation measures to counter negative effects of noise.

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Section: Auditory Scene Analysismentioning

confidence: 99%

Section: Auditory Scene Analysismentioning

confidence: 99%

Section: Auditory Scene Analysismentioning

confidence: 99%

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Integrating multiple disciplines to understand effects of anthropogenic noise on animal communication

Rosa

Koper

2018

Ecosphere

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“…The task is also known as the 'cocktail party problem ' [4], which refers to the ability to follow one conversation when many people are talking at the same time. The auditory system has to determine whether a sequence of sounds all came from a single source, and should be perceived as a single 'stream' or whether there were multiple sources [5]. In the latter case, each sound in the sequence has to be allocated to its appropriate source and multiple streams should be heard.…”

Section: Introductionmentioning

confidence: 99%

Auditory and visual scene analysis: an overview

Kondo

Loon

Kawahara

et al. 2017

Phil. Trans. R. Soc. B

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We perceive the world as stable and composed of discrete objects even though auditory and visual inputs are often ambiguous owing to spatial and temporal occluders and changes in the conditions of observation. This raises important questions regarding where and how ‘scene analysis’ is performed in the brain. Recent advances from both auditory and visual research suggest that the brain does not simply process the incoming scene properties. Rather, top-down processes such as attention, expectations and prior knowledge facilitate scene perception. Thus, scene analysis is linked not only with the extraction of stimulus features and formation and selection of perceptual objects, but also with selective attention, perceptual binding and awareness. This special issue covers novel advances in scene-analysis research obtained using a combination of psychophysics, computational modelling, neuroimaging and neurophysiology, and presents new empirical and theoretical approaches. For integrative understanding of scene analysis beyond and across sensory modalities, we provide a collection of 15 articles that enable comparison and integration of recent findings in auditory and visual scene analysis. This article is part of the themed issue ‘Auditory and visual scene analysis’.

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“…repetition rate was rapid (5 Hz for either stream) and the tone streams were more 132 than an octave apart in frequency, a parameter range that results in a clear two-133 stream percept in most animals, including rodents (Itatani and Klump, 2017;Noda 134 et al, 2013). Again, we varied the probability that a target could appear in either 135 of the two streams.…”

mentioning

confidence: 99%

Mice tune out not in: Violation of prediction drives auditory saliency

Rogalla¹,

Rauser²,

Schulze³

et al. 2019

Preprint

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1Successful navigation in complex acoustic scenes requires focusing on relevant 2 sounds while ignoring irrelevant distractors. It has been argued that the ability to 3 track stimulus statistics and generate predictions supports the choice what to 4 attend and what to ignore. However, the role of these predictions about future 5 auditory events in drafting decisions remains elusive. While most psychophysical 6 studies in humans indicate that expected stimuli serve as implicit cues attracting 7 attention, most work studying physiological auditory processing in animals 8 highlights the detection of unexpected, surprising stimuli. Here, we tested whether 9 in the mouse, target probability is used as an implicit cue attracting attention or 10 whether detection is biased towards low-probability deviants using an auditory 11 detection task. We implemented a probabilistic choice model to investigate 12 whether a possible dependence on stimulus statistics arises from short term serial 13 correlations or from integration over longer periods. Our results demonstrate that 14 adapt their behavior according to the stimulus statistics (Bargones and Werner, 39 1994a; Gordon Z. Greenberg and Larkin, 1968). This form of selective auditory 40 attention does not require awareness of the subject and is driven by unconscious 41 expectations (Wolmetz and Elhilali, 2016). Within this framework, the 42 improvement of detectability is based on the expectation as an implicit cue and 43 serves as an internal reward-maximizing strategy that drives the attention towards 44 the expectation (Girshick et al., 2011). 45 While most psychophysical studies indicate that expected stimuli serve as implicit 46 cues attracting attention, most work studying the physiology of auditory 47 processing highlights the detection of unexpected, surprising stimuli. Stimuli are 48 more salient when presented rarely to the auditory system and thus might be 49 easier to detect due to pre-attentive mechanisms (Malmierca et al., 2015; Pérez-50 González et al., 2005; Tiitinen et al., 1994). Within this framework, the evaluation 51 of stimulus statistics serves to detect novelty, emphasizing changes in the auditory 52 scene rather than enabling tracking of task relevant information. 53 Thus, tracking of stimulus probability influences auditory processing in two 54 contrary ways: on the physiological level, low-probability sounds elicit maximal 55 responses, but during listening tasks, relevant high-probability sounds appear to 56 attract attention, improving their detectability. While physiological evidence for 57 deviant detection spans all the way from animal models to humans (Heilbron and 58 Chait, 2017; Khouri and Nelken, 2015), behavioral assessment of the effects of 59 target probability is largely restricted to humans. In order to understand the neural 60 mechanisms underlying predictive coding, animal models such as rodents in 61 which both physiology and behavior can be studied are needed. 62 Although rodents serve as widely used animal models to study audi...

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Animal models for auditory streaming

Cited by 22 publications

References 68 publications

Integrating multiple disciplines to understand effects of anthropogenic noise on animal communication

Integrating multiple disciplines to understand effects of anthropogenic noise on animal communication

Auditory and visual scene analysis: an overview

Mice tune out not in: Violation of prediction drives auditory saliency

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