Targeted Chemical Processing Initiating Biosome Action-Potential-Matched Artificial Synapses for the Brain-Machine Interface.

ACS Appl Mater Interfaces

School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, Guangdong 518055, People's Republic of China.

Published: August 2023

A great gap still exists between artificial synapses and their biological counterparts in operation voltage or stimulation duration. Here, an artificial synaptic device based on a thin-film transistor with an operating voltage (-50-50 mV) analogous to biological action potential is developed by targeted chemical processing with the help of supercritical fluids. Chemical molecules [hexamethyldisilazane (HMDS)] are elaborately chosen and brought into the target interface to form charge receptors through supercritical processing. These charge receptors with the ability of capturing electrons mimic neurotransmitter receptors in terms of mechanism and constitute key players accounting for the synaptic behaviors. The relatively lower electrical barrier height contributes to an action-potential-matched operating voltage and considerably low power consumption (∼1 pJ/synaptic event), minimizing the divide with biological synapse for a seamless linkage to the biosystem or brain-machine interface. The stable synaptic behaviors also lead to near-ideal accuracy in pattern recognition. Moreover, this methodology that introduces chemical groups into a target interface can be viewed as a platform technology that could be adapted to other conventional devices with suitable chemical molecules to reach designed synaptic behaviors. This environmentally friendly and low-temperature processing method, which can be performed even after device fabrication, has the potential to play an important role in the future development of bionic devices.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acsami.3c07684DOI Listing

Publication Analysis

Top Keywords

synaptic behaviors
12
targeted chemical
8
chemical processing
8
artificial synapses
8
brain-machine interface
8
operating voltage
8
chemical molecules
8
target interface
8
charge receptors
8
processing
4

Similar Publications

Postpartum depression (PPD) adversely affects the growth and development of the offspring, increasing the risk of various internalizing behaviorsduring adolescence. Studies have shown that corticosterone (CORT)-induced PPD affects neurogenesis in the offspring, which is closely related to the onset of depression. However, the underlying mechanisms of these changes in the offspring of PPD mothers remain unexplored.

View Article and Find Full Text PDF

Autism spectrum disorder (ASD) is characterized by deficits in social interaction, restricted interests, and repetitive behaviors. Several genes, including synaptic proteins and environmental risk factors, play a role in the etiology of autism. We aimed to evaluate the relationship between neuroligin-1 (NLGN-1) and neuroligin-3 (NLGN-3) levels, which are neuronal cell adhesion molecules (CAMs), and inflammatory cytokine (IL-6, IL-8) levels with disease severity and symptom clusters and with each other in children with ASD.

View Article and Find Full Text PDF

The ε4 variant of human apolipoprotein E () is a key genetic risk factor for neurodegeneration in Alzheimer's disease and elevated all-cause mortality in humans. Understanding the factors and mechanisms that can mitigate the harmful effects of has significant implications. In this study, we find that inactivating the VHL-1 (Von Hippel-Lindau) protein can suppress mortality, neural and behavioral pathologies caused by transgenic human in .

View Article and Find Full Text PDF

Synaptic plasticity plays a fundamental role in neuronal dynamics, governing how connections between neurons evolve in response to experience. In this study, we extend a network model of θ-neuron oscillators to include a realistic form of adaptive plasticity. In place of the less tractable spike-timing-dependent plasticity, we employ recently validated phase-difference-dependent plasticity rules, which adjust coupling strengths based on the relative phases of θ-neuron oscillators.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!