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Robotka H, Thomas L, Yu K, Wood W, Elie JE, Gahr M, Theunissen FE. Sparse ensemble neural code for a complete vocal repertoire. Cell Rep 2023; 42:112034. [PMID: 36696266 PMCID: PMC10363576 DOI: 10.1016/j.celrep.2023.112034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 08/08/2022] [Accepted: 01/09/2023] [Indexed: 01/26/2023] Open
Abstract
The categorization of animal vocalizations into distinct behaviorally relevant groups for communication is an essential operation that must be performed by the auditory system. This auditory object recognition is a difficult task that requires selectivity to the group identifying acoustic features and invariance to renditions within each group. We find that small ensembles of auditory neurons in the forebrain of a social songbird can code the bird's entire vocal repertoire (∼10 call types). Ensemble neural discrimination is not, however, correlated with single unit selectivity, but instead with how well the joint single unit tunings to characteristic spectro-temporal modulations span the acoustic subspace optimized for the discrimination of call types. Thus, akin to face recognition in the visual system, call type recognition in the auditory system is based on a sparse code representing a small number of high-level features and not on highly selective grandmother neurons.
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Affiliation(s)
- H Robotka
- Max Planck Institute for Ornithology, Seewiesen, Germany
| | - L Thomas
- University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, CA, USA
| | - K Yu
- University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, CA, USA
| | - W Wood
- University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, CA, USA
| | - J E Elie
- University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, CA, USA
| | - M Gahr
- Max Planck Institute for Ornithology, Seewiesen, Germany
| | - F E Theunissen
- Max Planck Institute for Ornithology, Seewiesen, Germany; University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, CA, USA; Department of Psychology and Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
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Lattenkamp EZ, Hörpel SG, Mengede J, Firzlaff U. A researcher's guide to the comparative assessment of vocal production learning. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200237. [PMID: 34482725 DOI: 10.1098/rstb.2020.0237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Vocal production learning (VPL) is the capacity to learn to produce new vocalizations, which is a rare ability in the animal kingdom and thus far has only been identified in a handful of mammalian taxa and three groups of birds. Over the last few decades, approaches to the demonstration of VPL have varied among taxa, sound production systems and functions. These discrepancies strongly impede direct comparisons between studies. In the light of the growing number of experimental studies reporting VPL, the need for comparability is becoming more and more pressing. The comparative evaluation of VPL across studies would be facilitated by unified and generalized reporting standards, which would allow a better positioning of species on any proposed VPL continuum. In this paper, we specifically highlight five factors influencing the comparability of VPL assessments: (i) comparison to an acoustic baseline, (ii) comprehensive reporting of acoustic parameters, (iii) extended reporting of training conditions and durations, (iv) investigating VPL function via behavioural, perception-based experiments and (v) validation of findings on a neuronal level. These guidelines emphasize the importance of comparability between studies in order to unify the field of vocal learning. This article is part of the theme issue 'Vocal learning in animals and humans'.
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Affiliation(s)
- Ella Z Lattenkamp
- Division of Neurobiology, Department of Biology II, LMU Munich, Germany.,Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Stephen G Hörpel
- Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.,Department of Animal Sciences, Chair of Zoology, TU Munich, Germany
| | - Janine Mengede
- Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Uwe Firzlaff
- Department of Animal Sciences, Chair of Zoology, TU Munich, Germany
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3
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Distinct timescales for the neuronal encoding of vocal signals in a high-order auditory area. Sci Rep 2021; 11:19672. [PMID: 34608248 PMCID: PMC8490347 DOI: 10.1038/s41598-021-99135-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 09/21/2021] [Indexed: 02/08/2023] Open
Abstract
The ability of the auditory system to selectively recognize natural sound categories while maintaining a certain degree of tolerance towards variations within these categories, which may have functional roles, is thought to be crucial for vocal communication. To date, it is still largely unknown how the balance between tolerance and sensitivity to variations in acoustic signals is coded at a neuronal level. Here, we investigate whether neurons in a high-order auditory area in zebra finches, a songbird species, are sensitive to natural variations in vocal signals by recording their responses to repeated exposures to identical and variant sound sequences. We used the songs of male birds which tend to be highly repetitive with only subtle variations between renditions. When playing these songs to both anesthetized and awake birds, we found that variations between songs did not affect the neuron firing rate but the temporal reliability of responses. This suggests that auditory processing operates on a range of distinct timescales, namely a short one to detect variations in vocal signals, and longer ones that allow the birds to tolerate variations in vocal signal structure and to encode the global context.
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4
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Downer JD, Bigelow J, Runfeldt MJ, Malone BJ. Temporally precise population coding of dynamic sounds by auditory cortex. J Neurophysiol 2021; 126:148-169. [PMID: 34077273 DOI: 10.1152/jn.00709.2020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Fluctuations in the amplitude envelope of complex sounds provide critical cues for hearing, particularly for speech and animal vocalizations. Responses to amplitude modulation (AM) in the ascending auditory pathway have chiefly been described for single neurons. How neural populations might collectively encode and represent information about AM remains poorly characterized, even in primary auditory cortex (A1). We modeled population responses to AM based on data recorded from A1 neurons in awake squirrel monkeys and evaluated how accurately single trial responses to modulation frequencies from 4 to 512 Hz could be decoded as functions of population size, composition, and correlation structure. We found that a population-based decoding model that simulated convergent, equally weighted inputs was highly accurate and remarkably robust to the inclusion of neurons that were individually poor decoders. By contrast, average rate codes based on convergence performed poorly; effective decoding using average rates was only possible when the responses of individual neurons were segregated, as in classical population decoding models using labeled lines. The relative effectiveness of dynamic rate coding in auditory cortex was explained by shared modulation phase preferences among cortical neurons, despite heterogeneity in rate-based modulation frequency tuning. Our results indicate significant population-based synchrony in primary auditory cortex and suggest that robust population coding of the sound envelope information present in animal vocalizations and speech can be reliably achieved even with indiscriminate pooling of cortical responses. These findings highlight the importance of firing rate dynamics in population-based sensory coding.NEW & NOTEWORTHY Fundamental questions remain about population coding in primary auditory cortex (A1). In particular, issues of spike timing in models of neural populations have been largely ignored. We find that spike-timing in response to sound envelope fluctuations is highly similar across neuron populations in A1. This property of shared envelope phase preference allows for a simple population model involving unweighted convergence of neuronal responses to classify amplitude modulation frequencies with high accuracy.
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Affiliation(s)
- Joshua D Downer
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California
| | - James Bigelow
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California
| | - Melissa J Runfeldt
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California
| | - Brian J Malone
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California.,Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, California
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Yu K, Wood WE, Theunissen FE. High-capacity auditory memory for vocal communication in a social songbird. SCIENCE ADVANCES 2020; 6:6/46/eabe0440. [PMID: 33188032 PMCID: PMC7673746 DOI: 10.1126/sciadv.abe0440] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/02/2020] [Indexed: 05/08/2023]
Abstract
Effective vocal communication often requires the listener to recognize the identity of a vocalizer, and this recognition is dependent on the listener's ability to form auditory memories. We tested the memory capacity of a social songbird, the zebra finch, for vocalizer identities using conditioning experiments and found that male and female zebra finches can remember a large number of vocalizers (mean, 42) based solely on the individual signatures found in their songs and distance calls. These memories were formed within a few trials, were generalized to previously unheard renditions, and were maintained for up to a month. A fast and high-capacity auditory memory for vocalizer identity has not been demonstrated previously in any nonhuman animals and is an important component of vocal communication in social species.
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Affiliation(s)
- K Yu
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, USA
| | - W E Wood
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, USA
| | - F E Theunissen
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, USA.
- Department of Psychology, University of California, Berkeley, Berkeley, USA
- Department of Integrative Biology, University of California, Berkeley, Berkeley, USA
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Elie JE, Hoffmann S, Dunning JL, Coleman MJ, Fortune ES, Prather JF. From Perception to Action: The Role of Auditory Input in Shaping Vocal Communication and Social Behaviors in Birds. BRAIN, BEHAVIOR AND EVOLUTION 2019; 94:51-60. [PMID: 31805560 DOI: 10.1159/000504380] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 10/27/2019] [Indexed: 11/19/2022]
Abstract
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.
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Affiliation(s)
- Julie E Elie
- Department of Bioengineering, University of California Berkeley, Berkeley, California, USA
| | - Susanne Hoffmann
- Department of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Jeffery L Dunning
- Department of Pharmacology, Vanderbilt University, Nashville, Tennessee, USA
| | - Melissa J Coleman
- WM Keck Science Department, Claremont McKenna College, Pitzer College, and Scripps College, Claremont, California, USA
| | - Eric S Fortune
- Federated Department of Biological Sciences, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Jonathan F Prather
- Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, USA,
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