Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …

Neuromorphic sensing and processing has the potential to be used to create bioelectronic
and robotic systems that perceive, respond and adapt to environmental changes accurately …

Biointegrated neuromorphic hardware holds promise for new protocols to record/regulate
signalling in biological systems. Making such artificial neural circuits successful requires …

The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …

Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require
integrating artificial neuromorphic devices with biological systems. Due to their poor …

A multitude of chemical, biological, and material systems present an inductive behavior that
is not electromagnetic in origin. Here, it is termed a chemical inductor. We show that the …

Memristors are candidate devices for constructing artificial neurons, synapses, and
computational networks for brainlike information processing and sensory-motor autonomous …

Lightweight, flexible, and conformal bioelectronics are essential for wearable technologies.
This paper introduces 270 nm thin organic electronics amplifying circuits that are self …

Understanding the operation of neurons and synapses is essential to reproducing biological
computation. Building artificial neuromorphic networks opens the door to a new generation …

Spontaneous oscillations in a variety of systems, including neurons, electrochemical, and
semiconductor devices, occur as a consequence of Hopf bifurcation in which the system …