Natural vision is dynamic: as an animal moves, its visual input changes dramatically. How
can the visual system reliably extract local features from an input dominated by self …

Electron microscopy (EM)-based connectomes provide important insights into how visual
circuitry of fruit fly Drosophila computes various visual features, guiding and complementing …

Neurons integrate excitatory and inhibitory signals to produce their outputs, but the role of
input timing in this integration remains poorly understood. Motion detection is a paradigmatic …

The visual systems of insects are relatively simple compared to humans. However, they
enable navigation through complex environments where insects perform exceptional levels …

Synaptic wiring diagrams, or connectomes, promise constraints for highly detailed neural
circuit models, but relating the connectivity information they provide to physiological …

The optic lobe of the fly is one of the prominent model systems for the neural mechanism of
the motion detection. How a fly who lives under various visual situations of the nature …

Abstract Models of sensory processing have historically abstracted underlying biological
circuits, due to unknown connectivity and/or complexity. In contrast, the use of tractable and …

The ability of neurons to filter, to add and subtract, to divide or to multiply synaptic inputs
gives any neuronal system a computational ascendency. Theories of motion vision which …

A canonical metatheoretical framework in neuroscience states that, for one to understand a
brain, parallel descriptions at the levels of computational theory, algorithms, and …