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 computing offers the opportunity to curtail the huge energy demands of
modern artificial intelligence (AI) applications by implementing computations into new, brain …

Organic electrochemical transistors (OECTs) underpin a range of emerging technologies,
from bioelectronics to neuromorphic computing, owing to their unique coupling of electronic …

Organic electrochemical transistor (OECT)–based inverter introduces new prospects for
energy-efficient brain-inspired artificial intelligence devices. Here, we report single …

Neuromorphic bioelectronics aim to integrate electronics with biological systems yet
encounter challenges in biocompatibility, operating voltages, power consumption, and …

Organic mixed ionic–electronic conductors (OMIECs) can efficiently couple and transport
ionic and electronic charge species, making them key elements for bioelectronics …

Achieving low threshold voltage (Vth) in organic electrochemical transistors (OECTs) is
essential for minimizing power consumption and enhancing sensitivity in bioelectronic …

Organic mixed ionic-electronic conductors (OMIECs) play a fundamental role in the
performance of organic electrochemical transistors (OECTs) and their applications. Although …

Organic neuromorphic platforms have recently received growing interest for the
implementation and integration of artificial and hybrid neuronal networks. Here, achieving …

The human nervous system inspires the next generation of sensory and communication
systems for robotics, human‐machine interfaces (HMIs), biomedical applications, and …