The neural language of song: Brain mechanisms for sensorimotor syntax control
This project investigates how canaries learn and adapt hierarchical syntax rules in song production, using neural imaging and simulations to understand the underlying mechanisms of motor sequence control.
Projectdetails
Introduction
Our motor sequences obey syntax rules. From tying shoes to giving a speech, choosing the next action requires our brain to remember past actions, bridge across many seconds, and apply rules that create hierarchical syntax.
Background
Whereas past studies revealed how the primary motor cortex drives actions, we poorly understand the transition mechanisms by which the brain strings actions into hierarchical variable sequences. The key obstacle is identifying deep hierarchical syntax rules in behavior and in neural sequences.
Methodology
This obstacle is met by studying birdsong that naturally segments into sequences of syllables. In the zebra finch, juveniles learn once from a tutor and fix a single sequence driven by a robust song-locked activity.
Study Focus
Here, to study hierarchical syntax rules, I will use canaries: virtuosos that learn and adapt such rules along and across seasons. Canaries produce a huge repertoire of songs that enable separate analysis of neural states and syllable acoustics when studying their rich and dynamic syntax rules.
Previous Work
My previous work in canaries identified hidden neural states that keep a memory of sung syllables over several seconds and predict upcoming transitions.
Research Goals
Here, I leverage this model to dissect transition mechanisms and elucidate:
- Neural activity in the premotor nucleus HVC that underlies flexible transitions between syllables.
- Integration of auditory and thalamic inputs for applying hierarchical syntax rules to select the next syllable.
- Neural state dynamics when adapting syntax rules for new songs.
- Seasonal remodeling of HVC via neurogenesis.
Techniques
We use imaging, electrophysiology, and neural network simulations that integrate data across behavior, neural activity, and circuit levels of analysis.
Implications
Our work will map the process by which basal ganglia and thalamocortical circuits generate and adapt hierarchical syntax rules over time, sensory, and social contexts, and might offer insights into dysfunction of motor sequence control in maladaptive conditions.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.000.000 |
Totale projectbegroting | € 2.000.000 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- WEIZMANN INSTITUTE OF SCIENCEpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Gates to Language
The GALA project investigates the biological mechanisms of language acquisition in humans and nonhuman species to uncover why only humans can learn language.
Neuronal computations and population dynamics in the Cerebellar Nuclei during motor behaviours
CereCode aims to elucidate the integration and population coding mechanisms in the cerebellar nuclei to enhance understanding of cerebellar-dependent motor control using advanced neurophysiological techniques.
Brainstem circuit ensembles for movement flexibility
This project aims to uncover how brainstem circuits and spinal feedback generate flexible locomotion in zebrafish using advanced all-optical techniques and single-cell analysis.
Using a natural approach to elucidate the neural mechanisms of alarm calling behaviour in birds.
This project aims to investigate the neural mechanisms behind alarm calling behavior in wild songbirds by recording brain activity during vocalizations and reactions to danger in their natural habitat.
Why do infants learn language so fast? A reverse engineering approach
This project develops a computational model to explore how infants efficiently learn language through statistical learning and three additional mechanisms, aiming to produce comparable outcomes to children's language acquisition.