Timothy Q. Gentner

Automated inference of respiratory and syringeal biomechanical trajectories from birdsong acoustics

This paper introduces VIBE, a tool that automatically infers biomechanical control parameters from birdsong acoustics, validated against empirical measurements and neural data.

Anticipatory organization of neural population dynamics speeds behavioral decisions

The paper shows that expectations shape population-level neural dynamics in songbirds, organizing activity into structured geometries that support faster and more accurate behavioral decisions.

Predictive and error coding for vocal communication signals in the songbird auditory forebrain

The paper investigates predictive coding in songbird auditory brain regions by analyzing how neurons respond to vocal signals using predictive and error representations.

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

The paper introduces FALCON, a benchmark suite for evaluating robustness of iBCI decoders using standardized datasets and evaluation metrics.

Context-dependent sensory modulation underlies Bayesian vocal sequence perception

The paper shows that predictive information in vocal sequences biases Bayesian categorical perception through rapid sensory reorganization in songbirds.

Local Field Potentials in a Pre-motor Region Predict Learned Vocal Sequences

The paper uses local field potentials in zebra finches to decode vocal sequence elements and shows similarities to human motor areas.

A neural decoder for learned vocal behavior

This paper introduces a neural decoder for birdsong, a complex learned vocal behavior, using Brain Machine Interfaces.