Bioinspired sensor system for health care and human‐machine interaction

J Xue, Y Zou, Y Deng, Z Li - EcoMat, 2022 - Wiley Online Library
Bioinspired sensor system leads the development of new generation sensor technology with
remarkable features like ultra‐sensitivity, low‐power consumption and self‐adaptability. With …

Active materials for organic electrochemical transistors

E Zeglio, O Inganäs - Advanced Materials, 2018 - Wiley Online Library
The organic electrochemical transistor (OECT) is a device capable of simultaneously
controlling the flow of electronic and ionic currents. This unique feature renders the OECT …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing

T Sarkar, K Lieberth, A Pavlou, T Frank… - Nature …, 2022 - nature.com
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 …

A biohybrid synapse with neurotransmitter-mediated plasticity

ST Keene, C Lubrano, S Kazemzadeh, A Melianas… - Nature Materials, 2020 - nature.com
Brain-inspired computing paradigms have led to substantial advances in the automation of
visual and linguistic tasks by emulating the distributed information processing of biological …

[HTML][HTML] Neurohybrid memristive CMOS-integrated systems for biosensors and neuroprosthetics

A Mikhaylov, A Pimashkin, Y Pigareva… - Frontiers in …, 2020 - frontiersin.org
Here we provide a perspective concept of neurohybrid memristive chip based on the
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …

Artificial Neuron Devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Designing a bidirectional, adaptive neural interface incorporating machine learning capabilities and memristor-enhanced hardware

S Shchanikov, A Zuev, I Bordanov, S Danilin… - Chaos, solitons & …, 2021 - Elsevier
Building bidirectional biointerfaces is one of the key challenges of modern engineering and
medicine, with dramatic potential impact on bioprosthetics. Two of the major challenges of …

Artificial intelligence in healthcare and medicine: promises, ethical challenges and governance

J Guan - Chinese Medical Sciences Journal, 2019 - Elsevier
Artificial intelligence (AI) is rapidly being applied to a wide range of fields, including
medicine, and has been considered as an approach that may augment or substitute human …

Memristive synapses connect brain and silicon spiking neurons

A Serb, A Corna, R George, A Khiat, F Rocchi… - Scientific reports, 2020 - nature.com
Brain function relies on circuits of spiking neurons with synapses playing the key role of
merging transmission with memory storage and processing. Electronics has made important …