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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
3 both male morphs and females with a focus on vocal-acoustic and neuroendocrine networks.
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
10                 The first level accounts for vocal acoustics produced on short timescales; subsequent
11 ng in which social feedback modulates infant vocal acoustics through the tuning of a drive signal.
12 nabling high-powered comparative analyses of vocal acoustics.
13 nual, orofacial, nonspeech vocal, and speech vocal actions.
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
17 oughout the brain, including well-delineated vocal and auditory nuclei.
18  disorder characterized by the occurrence of vocal and motor tics.
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
21  motor actions: manual, orofacial, nonspeech vocal, and speech vocal actions.
22 s mediated, in part, by melatonin binding in vocal, auditory, and neuroendocrine centers.
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
26                   By tracking the ultrasonic vocal behavior of individual mice and using an algorithm
27                       Progressive changes in vocal behavior over the course of vocal imitation leanin
28 vious studies of individual-level blue whale vocal behavior via bio-logging [9, 10] and population-le
29 inx is largely unknown despite their complex vocal behavior.
30 ort and a deep intuition about each species' vocal behavior.
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
34 d as "textbook fact" for great ape "missing" vocal capacities.
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
44 the larynx produce most sounds that comprise vocal communication in mammals.
45                             In many species, vocal communication is essential for coordinating social
46 mechanisms that are active during call-based vocal communication of zebra finches, a highly social so
47                                              Vocal communication relies on the ability of listeners t
48                        Birdsong is a complex vocal communication signal, and like humans, birds need
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
51 articularly in species with highly developed vocal communication systems.
52 marker that may have conserved functions for vocal communication.
53 ted in impairments in social interaction and vocal communication.
54 olutionary divergence of neural circuits for vocal communication.
55 itory coding and perception are critical for vocal communication.
56                      A crucial factor in the vocal communicative split of hominins from the ape backg
57                                          For vocal communicators like humans and songbirds, survival
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
60 ement of the vocal cords, and a diagnosis of vocal cord dysfunction (VCD) was made.
61  disorder, panic attacks, globus hystericus, vocal cord dysfunction, scombroid poisoning, vasoactive
62                           However, bilateral vocal cord paralysis has rarely been described.
63               Flexible bronchoscopy revealed vocal cord paralysis in paramedian position, potentially
64                                    Bilateral vocal cord paralysis is a rare but potentially fatal com
65 goscopy revealed paradoxical movement of the vocal cords, and a diagnosis of vocal cord dysfunction (
66 armonics (or overtones) emanating from their vocal cords.
67 rinsic membrane properties of neurons in the vocal CPG generate species-specific vocal patterns, how
68 onatal vocalizations, or instead learn about vocal cues for parenting responses is unclear.
69  about the speaker-that is, why attention to vocal cues may be favored in intrasexual and intersexual
70      Finally, we show that the similarity of vocal cues offers a plausible mechanism for discriminati
71 ptive affiliation detection system that uses vocal cues.
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
75  syringeal muscles functionally changes over vocal development in zebra finches.
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
79 ging laryngeal dynamics, leading to adaptive vocal development.
80 lly complex conditions during a key stage of vocal development.SIGNIFICANCE STATEMENT Auditory experi
81 d add FOXP4 as a possible candidate gene for vocal disorders.
82                Development of treatments for vocal dysphonia has been inhibited by lack of human voca
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
85  function of the sequential distance between vocal elements.
86 les modulated both the timing and context of vocal emission based upon their social partner.
87                       Laughter is a positive vocal emotional expression: most laughter is found in so
88                   Naked mole-rats are highly vocal, eusocial, subterranean rodents with, counterintui
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
93                   We present evidence from a vocal fish linking reproductive-state-dependent changes
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
96 oids, the efficacy of glucorticoids (GC) for vocal fold injury is highly variable.
97 is relationship holds owing to the fact that vocal fold length generally scales with body size [2].
98                            Thus, they claim, vocal fold length has evolved independently of body size
99                                              Vocal fold mobility in 35 healthy volunteers (age 20-59
100      Active voicing - voluntary control over vocal fold oscillation - is essential for speech.
101                        A hallmark of healthy vocal fold oscillation is the symmetric motion of the le
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
105 s the symmetric motion of the left and right vocal fold.
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
109 her f(0) has led to the evolution of shorter vocal folds in bonobos than in chimpanzees.
110  for a healthy voice are the sound producing vocal folds in the larynx.
111                               Dynamic MRI of vocal folds using FFE and TRUFI sequence is an accurate
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
117 licated in the processing of both facial and vocal identity.
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
122              Premotor predictions facilitate vocal interactions.
123 n a moment-by-moment basis, enabling precise vocal interactions.
124                                      How did vocal language originate?
125 ait, with species being classified as either vocal learners or vocal non-learners.
126                                              Vocal learners use early social experience to develop au
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.
131 ll' regions that are unique to parrots among vocal learning birds [6].
132 ent studies, however, suggest a continuum in vocal learning capacity across taxa.
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
135 ful of species for which strong evidence for vocal learning exists.
136            Nevertheless, popular theories of vocal learning frequently overlook the role of ongoing s
137          Over the past century, the study of vocal learning has progressed at the intersection of eco
138 we take advantage of the tractable nature of vocal learning in songbirds (Lonchura striata domestica)
139                                              Vocal learning is a behavioral trait in which the social
140                Here, we further suggest that vocal learning is a multi-component behavioral phenotype
141   Yet, despite the complexity of this trait, vocal learning is frequently described as a binary trait
142 gbirds and humans share social mechanisms of vocal learning is unknown.
143       Although it has been demonstrated as a vocal learning mechanism in human infants [3-6], learnin
144                 We propose an initial set of vocal learning modules supported by behavioral and neuro
145 aracterization of primordial germ cells in a vocal learning Neoaves species, the zebra finch.
146 s, and lend support for the motor theory for vocal learning origin.
147                             Discretizing the vocal learning phenotype into its constituent modules wo
148 n order to disentangle the complexity of the vocal learning phenotype.
149                      It is representative of vocal learning songbirds specifically, which comprise ha
150 ting PGC-mediated germ-line transgenics of a vocal learning species.
151 gbird species and a major model organism for vocal learning studies.
152 different FoxPs control different aspects of vocal learning through combinatorial gene expression or
153 f the mechanisms and evolutionary origins of vocal learning.
154  concert with synaptic plasticity to promote vocal learning.
155 ng and development, utilizes socially guided vocal learning.
156 opamine neurons to enable temporally precise vocal learning.
157 fect neural function differently and in turn vocal learning.
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
161                                          All vocal midbrain nuclei showed considerable 5-HT-ir innerv
162       Most group members participated in the vocal mobbing of the snake both during and after the att
163 pronounced synaptic pruning in the forebrain vocal motor area HVC, a reduction that is not reversed w
164 itory responses with the output of a learned vocal motor behavior.
165 based model that ultimately links descending vocal motor control to tissue vibration and sound requir
166 itory and vocal motor thalamus, auditory and vocal motor cortex, and VTA.
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
173                              We identified a vocal-motor pathway in the zebra finch where memories th
174                            Here we show that vocal muscles in songbirds undergo critical transformati
175 behavior including morph-specific actions on vocal neurophysiology in midshipman.
176 being classified as either vocal learners or vocal non-learners.
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
180 ve developed complex and diverse uses of the vocal organ for communication.
181                             The unique avian vocal organ, the syrinx, is located at the caudal end of
182 ex vivo preparations, the isolated brain and vocal organ, we have identified essential components of
183 lated swifts, yet shows convergence in their vocal organs with those of oscines.
184 atory tract affects acoustic features of the vocal output, including fundamental frequency and effici
185 al (pallial) premotor nucleus HVC and shapes vocal output.
186 eration that produces verbal content with no vocal output.
187 uent levels account for longer timescales of vocal output.
188 r innervation was found in components of the vocal pattern generator and cranial motor nuclei.
189 omous systems that we put forth accounts for vocal patterning, sequence generation, dyadic interactio
190 dicates that PAG-USV neurons gate downstream vocal-patterning circuits.
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
193                                          The VOCAL-Penn models substantially improve postoperative mo
194                                          The VOCAL-Penn models were derived and internally validated
195 -, 90-, and 180-day postoperative mortality (VOCAL-Penn models).
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
198 l circuits important for enhanced or reduced vocal performance remain unclear.
199 gnificantly accelerate the re-acquisition of vocal performance.
200 udy was to examine the relationships between vocal pitch discrimination abilities and vocal responses
201                   Here, we report persistent vocal plasticity in adult bats (Rousettus aegyptiacus) f
202 that they might also retain a high degree of vocal plasticity in adulthood, much as humans do.
203 e of bats as a model organism for studies of vocal plasticity, including in adulthood.
204 e animal kingdom - requires a high-degree of vocal plasticity.
205  of 1 km horizontal distance from their last vocal position.
206 n part depends on factors experienced before vocal practicing.
207 rliest stages of learning, before initiating vocal practicing.
208              For example, classic studies of vocal-premotor cortex (HVC, acronym is name) in male zeb
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
212                                              Vocal production is hierarchical in the time domain.
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
216                                              Vocal production learning is a rare communication skill
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
220 ong that will serve as a model for their own vocal production.
221 ults highlight how individual differences in vocal proficiency between great apes may affect performa
222  These findings suggest that both facial and vocal recognition may be impaired in DP.
223 e social and acoustic environment shapes the vocal repertoire of individuals.
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)
226 et of call stimuli sampled from the complete vocal repertoire of this species.
227 r, co-ordinated pack predation, and striking vocal repertoire, but little is known about its brain an
228 tch-is linked to their degree of affiliative vocal responding.
229                           Here, we show that vocal response behavior scales with stimulus spectral co
230 tervals were shorter immediately following a vocal response from an adult.
231 nces were smaller following the receipt of a vocal response from the infant.
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
235 een vocal pitch discrimination abilities and vocal responses to auditory pitch-shifts.
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
238 fy factors that could modulate the extent of vocal sequence learning.
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
242                           In Xenopus laevis, vocal signals differ between the sexes, through developm
243  to determine which mouse emitted individual vocal signals during 30 minutes of unrestrained social i
244             Thus, our results suggest female vocal signals function as a means of ultrashort-range co
245 ated their behavior following female-emitted vocal signals in a context-dependent manner.
246 ther mice were more likely to emit different vocal signals than mice avoiding social interactions.
247 s in acceleration (movement) to male-emitted vocal signals.
248 re directly learned from the spectrograms of vocal signals.
249 ocate potential mates using species-specific vocal signals.
250 st a test's difficulty level to individuals' vocal skill may lead to false negatives, which may have
251 ressed USV production without disrupting non-vocal social behavior.
252  drive neural and behavioral selectivity for vocal sounds are unknown, however.
253 represent acoustic features that distinguish vocal sounds from other environmental sounds.
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
256 avioral recognition and neural processing of vocal sounds, using male zebra finches.
257  are sensitive to the spectral resolution of vocal sounds.
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
262  bodily tensioning affecting the respiratory-vocal system.
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
265 midshipman fish, consistent with findings in vocal tetrapods.
266     Two bothersome tics on the Hopkins Motor/Vocal Tic Scale (HM/VTS) were targeted for treatment dur
267                                    Motor and vocal tics are common in childhood.
268 er (TD), which is characterized by motor and vocal tics, is not in general considered as a product of
269 racterized by repetitive motor movements and vocal tics.
270  We show that genes associated with face and vocal tract anatomy went through particularly extensive
271 ck control architecture to control simulated vocal tract and produce intelligible speech.
272 ecise and rapid multi-dimensional control of vocal tract articulators.
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
275                                       A long vocal tract downstream from the sound source improves ef
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
278 te how biphonation is achieved by modulating vocal tract morphology.
279      Here, we investigate whether facial and vocal tract movements are linked during speech productio
280                                 By using the Vocal Tract Organ, which provides a user-controllable ar
281                  In addition, the facial and vocal tract regions that are important for reconstructio
282  between fundamental frequency and the first vocal tract resonance.
283 ufficient information in the face to recover vocal tract shape during speech.
284  a forward model that predicts both the next vocal tract state as well as expected auditory and somat
285 nternal estimate of the current state of the vocal tract to generate motor commands.
286 ers show remarkable control in shaping their vocal tract to narrowly focus the harmonics (or overtone
287          The joint variation in the face and vocal tract was extracted using an application of princi
288 as target words (the lowest resonance of the vocal tract).
289 the creation of desired constrictions in the vocal tract, after Task Dynamics.
290 portant for recovering information about the vocal tract, and vice versa, on a frame-by-frame basis.
291                                  Their upper vocal tract, including the trachea, is shorter than pred
292 porting it) seems not to extend to the upper vocal tract, that is, the supralaryngeal articulators, w
293 ey role in shaping the modern human face and vocal tract.
294 ning, enabling the creation of a 3-D printed vocal tract.
295  by the interaction between sound source and vocal tract.
296 ning of speech production independent of the vocal tract.
297 tory cues arise from a common generator: the vocal tract.
298 gnetic resonance (MR) image sequences of the vocal tract.
299 epend on the specific characteristics of the vocal tract?
300 ncy (F0), related to glottal pulse rate, and vocal-tract length (VTL), related to speakers' size.
301                                    We used a vocal tutoring manipulation in two species of songbird t

 
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