Alison Duffy

Flexible neuronal participation within a reliable motor sequence

The paper shows that reliable motor sequences can maintain timing stability while allowing flexible neuronal participation in zebra finch songs.

Discovering plasticity rules that organize and maintain neural circuits

The paper develops a meta-learning approach to discover plasticity rules that organize and maintain sequence-generating neural dynamics in the presence of noise and perturbations.

Unsupervised Restoration of a Complex Learned Behavior After Large-Scale Neuronal Perturbation

The paper shows that songbirds can recover from large-scale neuronal perturbation through unsupervised homeostatic mechanisms, with songs reverting to normal through saltatory recovery.

Resilience of A Learned Motor Behavior After Chronic Disruption of Inhibitory Circuits

This study shows that a learned motor behavior can recover after chronic disruption of inhibitory circuits, with neuronal activity permanently altered but song recovery possible without relying on learning circuits.

Precision motor timing via scalar input fluctuations

The paper introduces a model inspired by songbird brains that uses low-dimensional input fluctuations to correct timing errors in motor sequences, verified in zebra finch songs.

Dopamine Neurons Evaluate Natural Fluctuations in Performance Quality

This study shows dopamine neurons in singing birds evaluate natural fluctuations in song performance without external perturbations.