Motion vision provides essential cues for navigation and course control as well as for mate,
prey, or predator detection. Consequently, neurons responding to visual motion in a …

Fly motion vision and resultant compensatory optomotor responses are a classic example
for neural computation. Here we review our current understanding of processing of optic flow …

In the absence of much passive stability, flying insects rely upon active stabilisation,
necessitating the provision of rich sensory feedback across a range of modalities. Here we …

Flies have been buzzing around on earth for over 300 million years. During this time they
have radiated into more than 125,000 different species (Yeates and Wiegmann 1999), so …

Background Activity-dependent modulation of sensory systems has been documented in
many organisms and is likely to be essential for appropriate processing of information during …

Recent experiments have shown that motion detection in Drosophila starts with splitting the
visual input into two parallel channels encoding brightness increments (ON) or decrements …

How does the brain work? After a century of research, we still lack a coherent view of how
neurons process signals and control our activities. But as the field of computational …

The grand challenge of neuromorphic computation is to develop a flexible brain-inspired
architecture capable of a wide array of real-time applications, while striving towards the ultra …

When navigating in their environment, animals use visual motion cues as feedback signals
that are elicited by their own motion. Such signals are provided by wide-field neurons …

Sensory systems need to reliably extract information from highly variable natural signals.
Flies, for instance, use optic flow to guide their course and are remarkably adept at …