Biology provides examples of efficient machines which greatly outperform conventional
technology. Designers in neuromorphic engineering aim to construct electronic systems with …

We review the field of synthetic biology from an analog circuits and analog computation
perspective, focusing on circuits that have been built in living cells. This perspective is well …

If we had machines that could hear as humans do, we would expect them to be able to
easily distinguish speech from music and background noises, to pull out the speech and …

This paper proposes an integrated event-based binaural silicon cochlea system aimed at
efficient spatial audition and auditory scene analysis. The cochlea chip has a matched pair …

The complex dynamics of biological systems is primarily driven by molecular interactions
that underpin the regulatory networks of cells. These networks typically contain positive and …

As advances in integrated circuit (IC) fabrication technology reduce feature sizes to
dimensions on the order of nanometers, IC designers are facing many of the problems that …

The cochlea is part of the inner ear and its mechanical response provides us with many
aspects of our amazingly sensitive and selective hearing. The human cochlea is a coiled …

This paper presents the first implementation of a spiking neural network (SNN) for the
extraction of cepstral coefficients in structural health monitoring (SHM) applications and …

Information is represented by the states of physical devices. It costs energy to transform or
maintain the states of these physical devices. Thus, energy and information are deeply …

This paper proposes a solution for signal read-out in the MEMS cochlea sensors that have
very small sensing capacitance and do not have differential sensing structures. The key …