Neural circuit for match/mismatch, familiarity/novelty and synchronization detection in SAART neural networks

This paper describes a novel and neurobiologically inspired real-time neural circuit that can be used in the detection of the degree of match/mismatch between two Presynaptically Modulated Shunting Competitive Neural Layers (PM-SCNLs), the detection of familiarity/novelty in a recently introduced self-organising neural network called Selective Attention Adaptive Resonance Theory (SAART), or in the detection of synchronization between two interacting and pulsating neural layers. The circuit is based on Neuro-Engineering Design Principles (NEDPs) that we have recently introduced and it embeds two new neural mechanisms, selective presynaptic facilitation and selective presynaptic inhibition, into a dynamic neural circuit that forms another fundamental building block for neuro-engineering of cognitive and perceptual real-time artificial neural circuits.