Javier Carmona

This paper evaluates a multimodal immobilization method for Drosophila larvae to improve calcium imaging by reducing motion artifacts.

TranSIM is a high-speed volumetric imaging system that captures large-scale neural activity with reduced bandwidth constraints and improved spatial resolution.

The paper introduces the NHT model to explain how stable allocentric space perception is maintained through time-coded neural processes, supported by reaction time experiments showing eccentricity-dependent delays.

The paper tests a model of mental scaling using reaction times to recognize faces of varying sizes, finding RT increases proportional to log-scale scaling factors and consistent with depth perception.

The paper develops models to explain 3D space perception using time signals and tests them with reaction time experiments showing distance-dependent delays.