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1 tors and the public have become increasingly vocal about the role that an 'attention economy' has in
2 edominantly from perception studies in which vocal acoustic parameters were manipulated using special
4 anatomical substrates of melatonin-dependent vocal-acoustic behavior in the nocturnal and highly voca
5 cal evidence for serotonin as a modulator of vocal-acoustic circuitry and behavior in midshipman fish
6 neural and hormonal mechanisms of vertebrate vocal-acoustic communication, to redefine raphe subgroup
7 indbrain auditory and lateral line areas and vocal-acoustic integration sites in the preoptic area an
8 esis that melatonin's stimulatory effects on vocal-acoustic mechanisms in midshipman is mediated, in
9 tribution of fibers, especially in brainstem vocal-acoustic nuclei and other sensory integration site
11 ng in which social feedback modulates infant vocal acoustics through the tuning of a drive signal.
14 to exert cognitive control of orofacial and vocal acts and, in the language dominant hemisphere of t
15 nn [1] point out, cross-species variation in vocal and anatomical relations allows for the identifica
16 l1b expression in major nodes of the central vocal and auditory networks in the subpallium, preoptic
19 rthermore, there was evidence of significant vocal and respiratory dysfunction in the RLN transection
20 ological responses and manifested in facial, vocal, and gestural expressions, before ( c) conscious r
23 ur study provides evidence for links between vocal behavior and the development of morphological phen
24 Across vertebrates, progressive changes in vocal behavior during postnatal development are typicall
25 d expert-defined call types of communicative vocal behavior in mice by using acoustic analysis to cha
28 vious studies of individual-level blue whale vocal behavior via bio-logging [9, 10] and population-le
31 ata between groups, and provide insight into vocal-behavioral patterns of mice by automating the proc
32 thesis that the stereotyped group diving and vocal behaviour of beaked whales has benefits for abatem
33 ic signatures of cardiac activity, recording vocal biomarkers associated with tonality and temporal c
35 d larynx at the periphery, and the hindbrain vocal central pattern generator (CPG) centrally, that pr
36 c comparative techniques to show that mammal vocal characteristics and hearing sensitivity have co-ev
37 volutionary functions for attention to men's vocal characteristics in contexts of sexual selection.
38 evidence for canonical receptors within the vocal circuit, suggesting either signalling to other bra
39 acific (ETP) dataset with 16,995 codas; (2) "vocal clan classification" where we obtained 95.3% accur
40 mes and Costs Associated with Liver Disease (VOCAL) cohort, which contains granular data on patients
41 hat suggests forest mammals further optimise vocal communication according to their high frequency he
42 rovides a vertebrate model in which to study vocal communication at many levels, from physiology, to
43 predictive activity that helps to coordinate vocal communication between social partners.SIGNIFICANCE
46 mechanisms that are active during call-based vocal communication of zebra finches, a highly social so
49 shapes how humans and songbirds perceive the vocal communication sounds produced by their species.
50 tudied phylogenetic groups within vertebrate vocal communication systems, Xenopus provides insights t
58 and high-order pallial areas of sensory and vocal control pathways, and sends a prominent descending
59 as immunoreactivity for TH was higher in the vocal control region Area X compared to the surrounding
61 disorder, panic attacks, globus hystericus, vocal cord dysfunction, scombroid poisoning, vasoactive
65 goscopy revealed paradoxical movement of the vocal cords, and a diagnosis of vocal cord dysfunction (
67 rinsic membrane properties of neurons in the vocal CPG generate species-specific vocal patterns, how
69 about the speaker-that is, why attention to vocal cues may be favored in intrasexual and intersexual
72 he neuromuscular transformation changes over vocal development and emphasizes the need for an embodie
73 he neuromuscular transformation changes over vocal development and emphasizes the need for an embodie
74 crucial, potentially widespread mechanism of vocal development and have established a foundational pa
76 tural-locomotor maturity is not required for vocal development to occur, and that infants gradually i
77 w postural-locomotor behaviors may influence vocal development, and the role played by physiological
78 ize the importance of embodied approaches to vocal development, where exploiting biomechanical conseq
80 lly complex conditions during a key stage of vocal development.SIGNIFICANCE STATEMENT Auditory experi
83 nce that strong selective pressures for high vocal efficiency may have been a major driving force in
84 a single repeated call to hundreds of unique vocal elements patterned in sequences unfolding over hou
89 Furthermore, we showed that the patterns of vocal expression influence the behavior of the socially
90 lved in the analysis of speech and nonspeech vocal feedback driving adaptation of these responses.
91 During development, the amount of parental vocal feedback experienced influences the rate of growth
92 found that juvenile birds that received non-vocal female feedback contingently on their immature son
94 ysphonia has been inhibited by lack of human vocal fold (VF) mucosa models because of difficulty in p
95 a coordinated airway defense program-apnea, vocal fold adduction, swallowing, and expiratory reflexe
97 is relationship holds owing to the fact that vocal fold length generally scales with body size [2].
102 ing method that allows quantification of the vocal fold oscillation, is more commonly employed in res
103 ed a biophysical model to simulate different vocal fold oscillations, extended the openly available B
104 ndividuals in both families exhibited severe vocal fold paresis, a rare feature of peripheral nerve d
106 yngeal nerve (RLN) is responsible for normal vocal-fold (VF) movement, and is at risk for iatrogenic
107 , swallowing, respiration, cardiac activity, vocal-fold vibrations and other sources, we exploited fr
108 prediction of both, the opening between the vocal folds and the symmetry axis, leading to a huge ste
112 s have an extreme synchronicity, overlapping vocal foraging time by 98% despite hunting individually,
113 enile zebra finches are guided toward mature vocal forms by real-time visual feedback from adult fema
114 used to assess VF motion, swallow function, vocal function, and respiratory function, respectively.
115 termine auditory discrimination abilities to vocal fundamental frequency (f(o)) as well as two vocali
116 r, it is also the dominant way of expressing vocal identity and is critically important for social in
118 changes in vocal behavior over the course of vocal imitation leaning are often attributed exclusively
119 otion perception as influenced by facial and vocal information by measuring changes in oxygenated hem
120 contrast, the cognitive selection of speech vocal information requires this former network and the a
121 ese results provide evidence for the role of vocal interactions with caregivers, compared with overhe
127 ed by vocal production learning in non-human vocal learners, providing a mammalian substrate for the
128 a guttata), the most common model species of vocal learning and development, utilizes socially guided
129 pportunities for linking genetic pathways to vocal learning and motor control circuits, as well as fo
130 The zebra finch has been used as a valuable vocal learning animal model for human spoken language.
133 l insights into molecular features unique to vocal learning circuits, and lend support for the motor
134 are continuous between species, and that the vocal learning component is the most specialized and rar
138 we take advantage of the tractable nature of vocal learning in songbirds (Lonchura striata domestica)
141 Yet, despite the complexity of this trait, vocal learning is frequently described as a binary trait
152 different FoxPs control different aspects of vocal learning through combinatorial gene expression or
158 mans and our most ubiquitous animal model of vocal learning: the crucial role of social feedback to i
159 motor learning regions abutting the complex vocal-learning 'shell' regions that are unique to parrot
160 than postural and locomotor skills, and that vocal-locomotor coordination improved with age and durin
163 pronounced synaptic pruning in the forebrain vocal motor area HVC, a reduction that is not reversed w
165 based model that ultimately links descending vocal motor control to tissue vibration and sound requir
167 o RA and thus likely linked to modulation of vocal motor function (e.g. KCNC1, GABRE), including a su
168 -HT-ir neurons were also observed within the vocal motor nucleus (VMN), forming putative contacts on
169 e we quantified the recurring development of vocal motor skills and the accompanying changes in synap
170 cing revealed inputs to VP from auditory and vocal motor thalamus, auditory and vocal motor cortex, a
171 a broad scale, including targeted effects on vocal motor, sensory and neuroendocrine systems; are uni
172 fied prominent efferent pathways from HVC to vocal-motor cortex (RA, robust nucleus of the arcopalliu
177 ciency with a more genetically tractable but vocal nonlearning species, the chicken (a Galloanserifor
178 enerate species-specific vocal patterns, how vocal nuclei are connected to generate vocal patterns, a
179 l control of vitamin A deficiency still face vocal opposition by some senior scientists, despite havi
182 ex vivo preparations, the isolated brain and vocal organ, we have identified essential components of
184 atory tract affects acoustic features of the vocal output, including fundamental frequency and effici
189 omous systems that we put forth accounts for vocal patterning, sequence generation, dyadic interactio
191 , how vocal nuclei are connected to generate vocal patterns, as well as the roles of neurotransmitter
192 s in the vocal CPG generate species-specific vocal patterns, how vocal nuclei are connected to genera
196 ared model discrimination and calibration of VOCAL-Penn to the Mayo Risk Score (MRS), Model for End-S
197 We further demonstrate that an increase in vocal performance is accompanied by a pronounced synapti
200 udy was to examine the relationships between vocal pitch discrimination abilities and vocal responses
209 evidence of interactions between facial and vocal processing, these findings suggest some degree of
210 rk, we interpret the different timescales of vocal production as belonging to different levels of an
211 a key forebrain node that links auditory and vocal production circuits to match socially appropriate
213 port for the role of statistical learning in vocal production learning and identify factors that coul
214 monstrate that formants can be influenced by vocal production learning in non-human vocal learners, p
215 oviding an integrative explanation of infant vocal production learning in which social feedback modul
217 rea X, a striatal song nucleus essential for vocal production learning, affects song development, adu
218 have identified essential components of the vocal production system: the sexually differentiated lar
219 ments, demonstrate a hierarchical control of vocal production, with the motor cortex influencing the
221 ults highlight how individual differences in vocal proficiency between great apes may affect performa
224 ere, many studies have been conducted on the vocal repertoire of long-finned pilot whales (Globicepha
225 The large external pinnae and extensive vocal repertoire of the African wild dog (Lycaon pictus)
227 r, co-ordinated pack predation, and striking vocal repertoire, but little is known about its brain an
232 ected pitch-shifts and significantly smaller vocal response magnitudes to sustained pitch-shifts.
233 imination abilities had significantly larger vocal response magnitudes to unexpected pitch-shifts and
234 ction circuits to match socially appropriate vocal responses to acoustic features of male and female
236 orofacial, as well as, speech and nonspeech vocal responses; and the midcingulate cortex is involved
237 ization effort, we show that the zebra finch vocal robust nucleus of the arcopallium (RA) shares nume
239 rning could contribute to the acquisition of vocal sequences, and we investigated the nature and exte
240 fy individual syllables within their complex vocal sequences, providing a system for elucidating the
241 the signalling environment can jointly shape vocal signal structure and auditory systems, potentially
243 to determine which mouse emitted individual vocal signals during 30 minutes of unrestrained social i
246 ther mice were more likely to emit different vocal signals than mice avoiding social interactions.
250 st a test's difficulty level to individuals' vocal skill may lead to false negatives, which may have
254 steners to identify, process, and respond to vocal sounds produced by others in complex environments.
255 t to understand which of these properties of vocal sounds underlie the neural processing and percepti
258 Diceros bicornis) are a solitary-living, non-vocal species and are critically endangered through hunt
259 e early syrinx might be the position of this vocal structure: although the larynx sits at the cranial
260 n, 1.05; interquartile range, 0.48-2.10) and vocal symptoms (Voice Handicap Index-10: median, 2; inte
261 With the aid of an articulatory model of the vocal system, we show that transitions measure the artic
263 in midshipman (Porichthys notatus), a highly vocal teleost fish with two male morphs that follow alte
264 coustic behavior in the nocturnal and highly vocal teleost fish, the plainfin midshipman (Porichthys
266 Two bothersome tics on the Hopkins Motor/Vocal Tic Scale (HM/VTS) were targeted for treatment dur
268 er (TD), which is characterized by motor and vocal tics, is not in general considered as a product of
270 We show that genes associated with face and vocal tract anatomy went through particularly extensive
273 s were required to whisper the corresponding vocal tract configuration with masked auditory feedback
274 y, the interactions between sound source and vocal tract differed between species, suggesting that th
276 ents of the precise dimensions of his extant vocal tract following Computed Tomography (CT) scanning,
277 sis, dynamic magnetic resonance imaging, and vocal tract modeling to demonstrate how biphonation is a
279 Here, we investigate whether facial and vocal tract movements are linked during speech productio
284 a forward model that predicts both the next vocal tract state as well as expected auditory and somat
286 ers show remarkable control in shaping their vocal tract to narrowly focus the harmonics (or overtone
290 portant for recovering information about the vocal tract, and vice versa, on a frame-by-frame basis.
292 porting it) seems not to extend to the upper vocal tract, that is, the supralaryngeal articulators, w
300 ncy (F0), related to glottal pulse rate, and vocal-tract length (VTL), related to speakers' size.