Catecholaminergic contributions to vocal communication signals

2015 ◽  
Vol 41 (9) ◽  
pp. 1180-1194 ◽  
Author(s):  
Laura E. Matheson ◽  
Jon T. Sakata
2021 ◽  
Author(s):  
Nasim Winchester Vahidi

The mechanisms underlying how single auditory neurons and neuron populations encode natural and acoustically complex vocal signals, such as human speech or bird songs, are not well understood. Classical models focus on individual neurons, whose spike rates vary systematically as a function of change in a small number of simple acoustic dimensions. However, neurons in the caudal medial nidopallium (NCM), an auditory forebrain region in songbirds that is analogous to the secondary auditory cortex in mammals, have composite receptive fields (CRFs) that comprise multiple acoustic features tied to both increases and decreases in firing rates. Here, we investigated the anatomical organization and temporal activation patterns of auditory CRFs in European starlings exposed to natural vocal communication signals (songs). We recorded extracellular electrophysiological responses to various bird songs at auditory NCM sites, including both single and multiple neurons, and we then applied a quadratic model to extract large sets of CRF features that were tied to excitatory and suppressive responses at each measurement site. We found that the superset of CRF features yielded spatially and temporally distributed, generalizable representations of a conspecific song. Individual sites responded to acoustically diverse features, as there was no discernable organization of features across anatomically ordered sites. The CRF features at each site yielded broad, temporally distributed responses that spanned the entire duration of many starling songs, which can last for 50 s or more. Based on these results, we estimated that a nearly complete representation of any conspecific song, regardless of length, can be obtained by evaluating populations as small as 100 neurons. We conclude that natural acoustic communication signals drive a distributed yet highly redundant representation across the songbird auditory forebrain, in which adjacent neurons contribute to the encoding of multiple diverse and time-varying spectro-temporal features.


2019 ◽  
Vol 94 (Suppl. 1-4) ◽  
pp. 51-60
Author(s):  
Julie E. Elie ◽  
Susanne Hoffmann ◽  
Jeffery L. Dunning ◽  
Melissa J. Coleman ◽  
Eric S. Fortune ◽  
...  

Acoustic communication signals are typically generated to influence the behavior of conspecific receivers. In songbirds, for instance, such cues are routinely used by males to influence the behavior of females and rival males. There is remarkable diversity in vocalizations across songbird species, and the mechanisms of vocal production have been studied extensively, yet there has been comparatively little emphasis on how the receiver perceives those signals and uses that information to direct subsequent actions. Here, we emphasize the receiver as an active participant in the communication process. The roles of sender and receiver can alternate between individuals, resulting in an emergent feedback loop that governs the behavior of both. We describe three lines of research that are beginning to reveal the neural mechanisms that underlie the reciprocal exchange of information in communication. These lines of research focus on the perception of the repertoire of songbird vocalizations, evaluation of vocalizations in mate choice, and the coordination of duet singing.


2015 ◽  
Vol 76 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Laura E. Matheson ◽  
Herie Sun ◽  
Jon T. Sakata

2021 ◽  
Vol 15 ◽  
Author(s):  
Tim Sainburg ◽  
Timothy Q. Gentner

Recently developed methods in computational neuroethology have enabled increasingly detailed and comprehensive quantification of animal movements and behavioral kinematics. Vocal communication behavior is well poised for application of similar large-scale quantification methods in the service of physiological and ethological studies. This review describes emerging techniques that can be applied to acoustic and vocal communication signals with the goal of enabling study beyond a small number of model species. We review a range of modern computational methods for bioacoustics, signal processing, and brain-behavior mapping. Along with a discussion of recent advances and techniques, we include challenges and broader goals in establishing a framework for the computational neuroethology of vocal communication.


2001 ◽  
Vol 61 (4) ◽  
pp. 805-817 ◽  
Author(s):  
David S. Vicario ◽  
Nasir H. Naqvi ◽  
Jonathan N. Raksin

Author(s):  
Mimi L. Phan ◽  
Mark M. Gergues ◽  
Shafali Mahidadia ◽  
Jorge Jimenez-Castillo ◽  
David S. Vicario ◽  
...  

2019 ◽  
Author(s):  
Tim Sainburg ◽  
Marvin Thielk ◽  
Timothy Q Gentner

ABSTRACTAnimals produce vocalizations that range in complexity from a single repeated call to hundreds of unique vocal elements patterned in sequences unfolding over hours. Characterizing complex vocalizations can require considerable effort and a deep intuition about each species’ vocal behavior. Even with a great deal of experience, human characterizations of animal communication can be affected by human perceptual biases. We present here a set of computational methods that center around projecting animal vocalizations into low dimensional latent representational spaces that are directly learned from data. We apply these methods to diverse datasets from over 20 species, including humans, bats, songbirds, mice, cetaceans, and nonhuman primates, enabling high-powered comparative analyses of unbiased acoustic features in the communicative repertoires across species. Latent projections uncover complex features of data in visually intuitive and quantifiable ways. We introduce methods for analyzing vocalizations as both discrete sequences and as continuous latent variables. Each method can be used to disentangle complex spectro-temporal structure and observe long-timescale organization in communication. Finally, we show how systematic sampling from latent representational spaces of vocalizations enables comprehensive investigations of perceptual and neural representations of complex and ecologically relevant acoustic feature spaces.


2020 ◽  
Vol 124 (2) ◽  
pp. 471-483
Author(s):  
Ezhilarasan Rajaram ◽  
Sara Pagella ◽  
Benedikt Grothe ◽  
Conny Kopp-Scheinpflug

Neuronal activity regulates development and maturation of neural circuits. This activity can include spontaneous burst firing or firing elicited by sensory input during early development. For example, auditory brainstem circuits involved in sound localization require acoustically evoked activity to form properly. Here we show, that an inhibitory circuit, involved in processing sound offsets, gaps, and rhythmically modulated vocal communication signals, matures before the onset of acoustically evoked activity.


2008 ◽  
Vol 100 (1) ◽  
pp. 441-455 ◽  
Author(s):  
Raphael Pinaud ◽  
Thomas A. Terleph ◽  
Liisa A. Tremere ◽  
Mimi L. Phan ◽  
André A. Dagostin ◽  
...  

The role of GABA in the central processing of complex auditory signals is not fully understood. We have studied the involvement of GABAA-mediated inhibition in the processing of birdsong, a learned vocal communication signal requiring intact hearing for its development and maintenance. We focused on caudomedial nidopallium (NCM), an area analogous to parts of the mammalian auditory cortex with selective responses to birdsong. We present evidence that GABAA-mediated inhibition plays a pronounced role in NCM's auditory processing of birdsong. Using immunocytochemistry, we show that approximately half of NCM's neurons are GABAergic. Whole cell patch-clamp recordings in a slice preparation demonstrate that, at rest, spontaneously active GABAergic synapses inhibit excitatory inputs onto NCM neurons via GABAA receptors. Multi-electrode electrophysiological recordings in awake birds show that local blockade of GABAA-mediated inhibition in NCM markedly affects the temporal pattern of song-evoked responses in NCM without modifications in frequency tuning. Surprisingly, this blockade increases the phasic and largely suppresses the tonic response component, reflecting dynamic relationships of inhibitory networks that could include disinhibition. Thus processing of learned natural communication sounds in songbirds, and possibly other vocal learners, may depend on complex interactions of inhibitory networks.


Author(s):  
Christopher B. Sturdy ◽  
Kimberley A. Campbell ◽  
Jenna V. Congdon ◽  
Allison H. Hahn ◽  
Neil McMillan ◽  
...  

Category perception, as Herrnstein (1990) defined it, is a powerful and pervasive cognitive ability possessed by every species in which it has been adequately tested. We have studied category perception of vocal communication signals in songbirds for over 20 years. Our first studies provided us with an understanding of songbird vocal category production and perception, clarifying perceptual categorization and the underlying mechanisms. More recent work has moved towards understanding functional vocal categories such as sex, dominance, species, and geography. Some of our most recent work has moved into the realm of conceptual knowledge, with studies aimed at understanding birds’ ability to deal with concepts of sameness and danger (i.e., threat level). Here we provide key examples that effectively show the wide range of abilities possessed and used by songbirds.


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