Artificial Neuronal Network

Neuromorphic VLSI chips are compact, real-time, and energy efficient computational devices that directly emulate the style of computation of the brain, using the physics of Silicon to reproduce the bio-physics of the neural tissue.

Unlike a von Neumann computing architecture, neuromorphic architectures are composed of massively parallel arrays of simple processing elements (silicon neurons and synapses) in which memory and computation are co-localized.
Rather than using Boolean logic, precise digital representations and clocked operations, these spiking neural networks carry out robust and reliable computation using hybrid analog/digital circuits, which are affected by mismatch and noise; they emphasize distributed, event-driven, collective, and massively parallel mechanisms and make extensive use of adaptation, self-organization and learning.