Fabrication of 3D neural networks for next generation biocomputing. Aim: To engineer 3D neural systems that will underpin the development of next generation biocomputing. Significance: Biocomputers ba

Description

Fabrication of 3D neural networks for next generation biocomputing. Aim: To engineer 3D neural systems that will underpin the development of next generation biocomputing. Significance: Biocomputers based on neuronal networks have hit a hiatus due to the inability to engineer 3D structures reminiscent of brain neural networks. Outcomes: The new 3D bioprinted system will produce neuronal networks that are scalable, can be interfaced to communicate with the real-world and perform recognition tasks. Models and algorithms will be established to optimise computational processes. Benefits: Compared to traditional silicon-based computing, biocomputing has the potential for faster decision making, continuous learning and enhanced energy efficiency, essential traits for the development of next-generation computing.. Scheme: Discovery Projects. Field: 4003 - Biomedical Engineering. Lead: Prof John Forsythe