In the brain, information is encoded, transmitted and used to inform behaviour at the level of
timing of action potentials distributed over population of neurons. To implement neural-like …

We review the coevolution of hardware and software dedicated to neuromorphic systems.
From modest beginnings, these disciplines have become central to the larger field of …

The styles of computation used by biological systems are fundamentally different from those
used by conventional computers: biological neural networks process information using …

Inspired by the processing methods of biologic brains, we construct a network of multiple
configurable non-volatile memory arrays connected with bus-lines as a neuromorphic code …

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 …

Neuromorphic engineering (NE) is an emerging research field that has been attempting to
identify neural types of computational principles, by implementing biophysically realistic …

Uncovering the mechanics of neural computation in living organisms is increasingly shaping
the development of brain-inspired algorithms and silicon circuits in the domain of artificial …

The brain is not a glorified digital computer. It does not store information in registers, and it
does not mathematically transform mental representations to establish perception or …

Nowadays, Artificial Intelligence (AI) is a widespread concept applied to many fields such as
transportation, medicine and autonomous vehicles. The main AI algorithms are artificial …

Neuromorphic systems emulate the organization and function of nervous systems. They are
usually composed of analogue electronic circuits that are fabricated in the complementary …