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.
Understanding the Problem
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.
Research Approach
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.
Focus on Canaries
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 Findings
My previous work in canaries identified hidden neural states that keep a memory of sung syllables over several seconds and predict upcoming transitions.
Research Objectives
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.
Methodology
We use imaging, electrophysiology, and neural network simulations that integrate data across behavior, neural activity, and circuit levels of analysis.
Expected Outcomes
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 the 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)
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