Mixed-signal neuromorphic platform design for streaming biomedical signal processing

This chapter presents the mixed -signal design approach for the design of neuromorphic platforms for the biomedical signal processing. The proposed approach combines algorithmic, architectural and circuit design concepts to offer a low -power neuromorphic platform for streaming biomedical signal processing. The platform employs liquid state machines using spiking neurons (implemented on analog neuron circuits) and support vector machine (SVM) (implemented as software running on advanced RISC machine (ARM) processor). A dynamic global synaptic communication network realized using the ultralow leakage IGZO thin film transistor (TFT) technology circuit switch is also presented. The proposed architectural technique offers a scalable low -power neuromorphic platform design approach suitable for processing real-time biomedical signals.