Portrait of intense communications within microfluidic neural networks.

ABSTRACT: 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. Several tools and methods have been developed since the past decade to build neural networks on a chip; among them, microfluidic circuits appear to be a highly promising approach. One of the numerous advantages of this approach is that it preserves stable somatic and axonal compartments over time due to physical barriers that prevent the soma from exploring undesired areas and guide neurites along defined pathways. As a result, neuron compartments can be identified and isolated, and their interconnectivity can be modulated to build a topological neural network (NN). Here, we have assessed the extent to which the con

SUBMITTER: Dupuit V 

PROVIDER: S-EPMC10387102 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature