Neuromat

Neuromat is a term encountered in discussions of neuromorphic computing, neural networks, and related fields. It does not have a single, widely accepted definition; rather, it emerges as a convenient shorthand in several contexts to denote a neural-inspired, mat-like construct. In many technical discussions, a neuromat refers to a modular array of processing elements designed to emulate aspects of neural tissue, typically arranged in a two-dimensional substrate that can be scaled by adding more cells. Such neuromats may integrate sensing, processing, and synaptic interconnections in a compact form and are used to explore real-time, low-power computation, local learning rules, and spatially distributed processing.

As a theoretical concept, neuromat can also describe a two-dimensional matrix model of neural connectivity, useful for studying wave propagation, pattern formation, or activity spreading in networks where spatial layout matters. The term is sometimes used metaphorically to emphasize the tissue-like organization of computation rather than to denote a specific hardware standard.

Outside scholarly literature, neuromat occasionally appears in science fiction and media to describe a neural substrate or interface that forms a connected, mat-like network across devices or biological tissue. The lack of a canonical definition means the exact meaning of neuromat is highly context-dependent.