Simon Sponberg

The paper compares flight muscle morphology and volume allocation between two moth families with different flight strategies, finding divergent muscle proportions and specific muscle specializations.

This study demonstrates that hawkmoth flight muscle can transition between stretch-activated and neural-activated modes in virtual reality, showing entrainment when activation timescales align.

This study examines the morphology of hawkmoth compound eyes, finding they are near-spherical with low spatial acuity variation and lack distinct acute zones.

The paper develops a method to map neural activity across subjects using Restricted Boltzmann Machines, achieving high accuracy in decoding target features with a Fisher divergence-based training technique.

This paper introduces a spatial-temporal attention normalizing flow to model neuron synchronization in the insect antennal lobe, revealing interactions between cell types and odorant mixture dynamics.

This study investigates how body oscillations in silkmoths reduce aerodynamic power requirements by altering wing rotation relative to airflow during flight.

This study shows insects flap wings above their resonant frequency, revealing supra-resonance as a general principle for high-frequency flight across multiple species.

The paper models spike coding in feedforward networks with convergence and divergence, showing structural bottlenecks prefer spike timing over expansion layers and linking network structure to coding strategies.

The paper investigates how individual hawkmoth flight muscles contribute to pitch control by manipulating muscle timing, finding that single muscles do not produce precise turns, emphasizing coordination across the motor program.

The paper examines how body size and light environment affect flight speed and saccadic behavior in Drosophila melanogaster, finding that visual deficits in smaller flies lead to flight changes.

The paper investigates how moth wingbeat frequency relates to resonant frequency and biomechanical adaptations across species.

The paper investigates how mechanosensation and vision integrate in hawkmoths under high luminance, showing both systems adjust to maintain robust flower-tracking behavior.

The paper introduces a method to estimate spike timing precision in motor circuits using continuous mutual information estimation and applies it to analyze motor output data from moths.

The paper decodes insect flight behaviors using spike-resolved motor patterns and shows that consistent coordination patterns allow near-perfect decoding across different behaviors.

The paper shows spike timing codes are ubiquitous, consistent, and essential for coordination across a hawk moth's flight motor program.