Recent years have witnessed a spurt of progress in the application of the encoding and
decoding of neural activities to drug screening, diseases diagnosis, and brain–computer …

We present a novel closed-loop system designed to integrate biological and artificial
neurons of the oscillatory type into a unified circuit. The system comprises an electronic …

Objective. Microfluidic devices interfaced with microelectrode arrays have in recent years
emerged as powerful platforms for studying and manipulating in vitro neuronal networks at …

One of the challenges in modern neuroscience is creating a brain-on-a-chip. Such a
semiartificial device based on neural networks grown in vitro should interact with the …

In vitro model networks could provide cellular models of physiological relevance to
reproduce and investigate the basic function of neural circuits on a chip in the laboratory …

Modern microtechnology methods are widely used to create neural networks on a chip with
a connection architecture demonstrating properties of modularity and hierarchy similar to …

The complex synaptic connectivity architecture of neuronal networks underlies cognition and
brain function. However, studying the spiking activity propagation and processing in …

One of the challenges of modern neuroscience is creating a" living computer" based on
neural networks grown in vitro. Such an artificial device is supposed to perform …

Alzheimer s disease (AD) is characterized by the accumulation of aggregated amyloid beta
peptide (Aβ) leading to progressive neuronal loss and dysfunction. Current AD diagnosis …

Recovery of the neural networks after brain injury can be studied in vitro using cell
patterning technologies such as microfluidics. In this study, neural tissue recovery of cortical …