ERC Starting Grant · 2024
Bottom-up assembly of synthetic neural networks from biological matter
The long-term objective of my lab is the construction of “synthetic” neural networks from biological matter. In this way, we not only will understand how to build sustainable computing architectures but also provide a novel bottom-up approach towards understanding biological neural networks. To make progress in this direction, I ask: What is the minimal assembly of biological components that allows for bio-realistic electrical information processing? Clearly, voltage-sensitive ion channels form the molecular basis for electrical spiking activity in neuronal networks. However, spatial propagation of spikes is not a property inherent to individual ion channels but rather emerges from the…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.