2023
DOI: 10.1101/2023.06.26.546556
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Reverse Engineering of Feedforward Cortical-Hippocampal Neural Networks Relevant for Preclinical Disease Modelling

Katrine Sjaastad Hanssen,
Nicolai Winter-Hjelm,
Salome Nora Niethammer
et al.

Abstract: Engineered biological neural networks are indispensable tools for investigating neural function in both healthy and diseased states from the subcellular to the network level. Neurons in vitro self-organize over time into networks of increasing structural and functional complexity, thus maintaining emergent dynamics of neurons in the brain. While in vitro neural network model systems have advanced significantly over the past decade, there is still a need for models able to recapitulate topological and functiona… Show more

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Cited by 3 publications
(1 citation statement)
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“…Engineered neural networks can be designed to recapitulate key hallmarks of this structural and functional complexity in vitro (3)(4)(5). Such model systems facilitate studies of neural network function and dysfunction at the micro-and mesoscale level in a highly controllable microenvironment (6,7). Typically, these networks are established on planar interfaces.…”
Section: Introductionmentioning
confidence: 99%
“…Engineered neural networks can be designed to recapitulate key hallmarks of this structural and functional complexity in vitro (3)(4)(5). Such model systems facilitate studies of neural network function and dysfunction at the micro-and mesoscale level in a highly controllable microenvironment (6,7). Typically, these networks are established on planar interfaces.…”
Section: Introductionmentioning
confidence: 99%