Microfluidic neurite guidance to study structure-function relationships in topologicallycomplex population-based neural networks

By |2020-02-07T13:06:06+00:00February 7th, 2020|

ABSTRACT The central nervous system is a dense, layered, 3D interconnected network of populations of neurons, and thus recapitulating that complexity for in vitro CNS models requires methods that can create defined topologically-complex neuronal networks. Several three-dimensional patterning approaches have been developed but none have demonstrated the ability to control the connections between populations of [...]

Electrokinetic confinement of axonal growth for dynamically configurable neural networks

By |2020-02-07T12:44:48+00:00February 7th, 2020|

Abstract Axons in the developing nervous system are directed via guidance cues, whose expression varies both spatially and temporally, to create functional neural circuits. Existing methods to create patterns of neural connectivity in vitro use only static geometries, and are unable to dynamically alter the guidance cues imparted on the cells. We introduce the use of AC electrokinetics to [...]

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