The construction of the world's largest functional brain model and large-scale, real-time hardware simulations rely on the same mathematical and neuromorphic methods.

A complete stereovision event-based framework to compute depth uses the output of two asynchronous, stimulus-based silicon retinas.

A programmable chip can replace the ability of the cerebellum to learn a timed eye-blink response to a sound.

Understanding the computational principles used by the brain and how they are physically embodied is crucial for developing novel computing paradigms and guiding a new generation of technologies that can combine the strengths of industrial-scale electronics with the computational performance of brains.

A simple learning rule that implements a spatial map can be used for online correction of position estimates in a neuromorphic head direction cell system.