  Chronic diseases can greatly benefit from bioelectronic medicine approaches.
Neuromorphic electronic circuits present ideal characteristics for the
development of brain-inspired low-power implantable processing systems that can
be interfaced with biological systems. These circuits, therefore, represent a
promising additional tool in the tool-set of bioelectronic medicine. In this
paper, we describe the main features of neuromorphic circuits that are ideally
suited for continuously monitoring the physiological parameters of the body and
interact with them in real-time. We propose examples of computational
primitives that can be used for real-time pattern generation and present a
neuromorphic implementation of neural oscillators for the generation of
sequence activation patterns. We demonstrate the features of such systems with
an implementation of a three-phase network that models the dynamics of the
respiratory Central Pattern Generator (CPG) and the heart chambers rhythm, and
that could be used to build an adaptive pacemaker.
