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Topic: Birdsong

Seminar
8 seminars
Seminar · Behavioral Ecology

What do birds sing and why?

Nicolas Mathevon · University of Saint-Etienne; Ecole Pratique des Hautes Etudes; ENES Team

Wed, Sep 30, 2026 · 15:00 UTC

Nicolas Mathevon examines the evolution of vocal communication through an analysis of songs from more than 3,000 passerine species. The study organizes their acoustic diversity into eight basic motifs and relates motif use to social organization, morphology, mating systems and sound transmission. Tropical forest conditions favor simpler signals such as flat whistles that travel effectively through dense habitat. In temperate regions, dense populations, short breeding seasons and stronger sexual selection favor complex signals such as rapid trills, despite their greater degradation during trans

Seminar · Computational Neuroscience

Thalamocortical dynamics in a complex learned behavior

Nader Nikbakht · MIT

Wed, Feb 14, 2024 · 16:00 UTC

Performing learned behaviors requires animals to produce precisely timed motor sequences. The underlying neuronal circuits must convert incoming spike trains into precisely timed firing to indicate the onset of crucial sensory cues or to carry out well-coordinated muscle movements. Birdsong is a remarkable example of a complex, learned and precisely timed natural behavior which is controlled by a brainstem-thalamocortical feedback loop. Projection neurons within the zebra finch cortical nucleus HVC (used as a proper name), produce precisely timed, highly reliable and ultra-sparse neural sequen

Seminar · Neuroscience

Intrinsic Geometry of a Combinatorial Sensory Neural Code for Birdsong

Tim Gentner · University of California, San Diego, USA

Wed, Nov 9, 2022 · 16:00 UTC

Understanding the nature of neural representation is a central challenge of neuroscience. One common approach to this challenge is to compute receptive fields by correlating neural activity with external variables drawn from sensory signals. But these receptive fields are only meaningful to the experimenter, not the organism, because only the experimenter has access to both the neural activity and knowledge of the external variables. To understand neural representation more directly, recent methodological advances have sought to capture the intrinsic geometry of sensory driven neural responses

Seminar · Computational Neuroscience

Variability, maintenance and learning in birdsong

Adrienne Fairhall · University of Washington

Wed, Mar 31, 2021 · 05:00 UTC

The songbird zebra finch is an exemplary model system in which to study trial-and-error learning, as the bird learns its single song gradually through the production of many noisy renditions. It is also a good system in which to study the maintenance of motor skills, as the adult bird actively maintains its song and retains some residual plasticity. Motor learning occurs through the association of timing within the song, represented by sparse firing in nucleus HVC, with motor output, driven by nucleus RA. Here we show through modeling that the small level of observed variability in HVC can res

Seminar · Computational Neuroscience

Low dimensional models and electrophysiological experiments to study neural dynamics in songbirds

Ana Amador · University of Buenos Aires

Wed, Dec 2, 2020 · 13:30 UTC

Birdsong emerges when a set of highly interconnected brain areas manage to generate a complex output. The similarities between birdsong production and human speech have positioned songbirds as unique animal models for studying learning and production of this complex motor skill. In this work, we developed a low dimensional model for a neural network in which the variables were the average activities of different neural populations within the nuclei of the song system. This neural network is active during production, perception and learning of birdsong. We performed electrophysiological experim

Seminar · Brain Imaging

A journey through connectomics: from manual tracing to the first fully automated basal ganglia connectomes

Joergen Kornfeld · Massachusetts Institute of Technology

Tue, Nov 17, 2020 · 16:00 UTC

The "mind of the worm", the first electron microscopy-based connectome of C. elegans, was an early sign of where connectomics is headed, followed by a long time of little progress in a field held back by the immense manual effort required for data acquisition and analysis. This changed over the last few years with several technological breakthroughs, which allowed increases in data set sizes by several orders of magnitude. Brain tissue can now be imaged in 3D up to a millimeter in size at nanometer resolution, revealing tissue features from synapses to the mitochondria of all contained cells.

Seminar · Neuroscience

Male songbirds turn off their self-evaluation systems when they sing to females

Jesse Golberg · Cornell University

Wed, Sep 16, 2020 · 13:30 UTC

Attending to mistakes while practicing alone provides opportunities for learning but self-evaluation during audience-directed performance could distract from ongoing execution. It remains unknown how animals switch between practice and performance modes, and how evaluation systems process errors across distinct performance contexts. We recorded from striatal-projecting dopamine (DA) neurons as male songbirds transitioned from singing alone to singing female-directed courtship song. In the presence of the female, singing-related performance error signals were reduced or gated off and DA neurons

Seminar · Neuroscience

Neural control of vocal interactions in songbirds

Daniela Vallentin · Max Planck Institute for Ornithology

Fri, May 15, 2020 · 13:00 UTC

During conversations we rapidly switch between listening and speaking which often requires withholding or delaying our speech in order to hear others and avoid overlapping. This capacity for vocal turn-taking is exhibited by non-linguistic species as well, however the neural circuit mechanisms that enable us to regulate the precise timing of our vocalizations during interactions are unknown. We aim to identify the neural mechanisms underlying the coordination of vocal interactions. Therefore, we paired zebra finches with a vocal robot (1Hz call playback) and measured the bird’s call response t

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