Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

Artificial neural networks have been used as a powerful processing tool in various areas
such as pattern recognition, control, robotics, and bioinformatics. Their wide applicability has …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Brains process information in spiking neural networks. Their intricate connections shape the
diverse functions these networks perform. Yet how network connectivity relates to function is …

There is and has been a fruitful flow of concepts and ideas between studies of learning in
biological and artificial systems. Much early work that led to the development of …

Neuromorphic computing offers the opportunity to curtail the huge energy demands of
modern artificial intelligence (AI) applications by implementing computations into new, brain …

An accurate description of muscular activity plays an important role in the clinical diagnosis
and rehabilitation research. The electromyography (EMG) is the most used technique to …

Neuromorphic hardware strives to emulate brain-like neural networks and thus holds the
promise for scalable, low-power information processing on temporal data streams. Yet, to …

While Moore's law has driven exponential computing power expectations, its nearing end
calls for new avenues for improving the overall system performance. One of these avenues …

Recent years have seen an increasing interest in the development of artificial intelligence
circuits and systems for edge computing applications. In-memory computing mixed-signal …