Joseph Mahandas Fabian

The paper examines the limitations of rate codes in controlling rapid behaviors by comparing post-hoc neural activity analysis with real-time information availability.

The paper develops a hybrid neuronal model of dragonfly STMD neurons to test how dendritic morphology and NMDA receptor nonlinearities contribute to facilitation during target tracking.

This study maps the neuroanatomy and sensor distribution in dragonfly wings to understand how mechanosensors detect aeroelastic deformations during flight.

The paper describes the complex optic lobe structure of dragonflies, revealing a unique and more complex organization compared to other insects.

The paper identifies three subclasses of wide-field motion-sensitive neurons in dragonflies, differing in motion adaptation and response to natural images, which supports their complex flight behaviors.

The paper identifies a dragonfly neuron that selectively attends to targets using frequency-tagging, showing complex attention mechanisms beyond simple winner-takes-all models.

This paper investigates predictive gain modulation in dragonfly visual neurons, showing it depends on both past and present stimulus parameters and reduces response variability.