Timothy J. Gardner

The paper trains a self-supervised bioacoustic encoder using labels from a vision-language model on citizen-scientist recordings, achieving better performance than human-annotated supervised models and YOLO detectors.

The paper shows that lesions in the medial part of the Anterior Forebrain Pathway in adult canaries cause stutter-like behavior in song, indicating its role in controlling phrase duration.

SongMAE improves birdsong analysis by using a high-resolution masked autoencoder with custom temporal and frequency masking, outperforming existing encoders in syllable classification and parsing.

TweetyBERT is a self-supervised transformer model that parses birdsong without human labels, learning acoustic and temporal patterns in canary song.

The paper uses in vivo two-photon imaging in transgenic songbirds to show that adult neuron migration follows a superdiffusive model, which can explain the dispersion of new neurons in the HVC.

This paper introduces a novel miniaturized mesoscope for cellular-resolution imaging of neural activity in freely behaving mice, enabling comprehensive visualization across brain regions.

This paper introduces a microscale implantable device for long-term peripheral nerve mapping and stimulation in small animals, demonstrating stable recordings and precise modulation over multi-week periods.

The paper identifies neurons in canary HVC that encode past song transitions over multiple phrases and seconds, revealing neural mechanisms for syntactic song structure.

This paper describes a method to assemble carbon fiber electrodes on a flexible polyimide substrate for high-density neural recording and stimulation in peripheral nerves.

The paper develops an in vitro model using zebra finch brain slices to study sparse neuronal activity networks.