Ola Huse Ramstad

TL;DR: A novel open microfluidic chip design that encompasses a freely variable number of nodes interconnected by axon-permissible tunnels, enabling structuring of multi-nodal neural networks in vitro, thus providing a versatile, highly relevant platform for the study of neural network dynamics applicable to developmental and regenerative neuroscience.

TL;DR: The human brain is a remarkable computing machine, i.e. vastly parallel, self-organizing, robust, and energy efficient.

TL;DR: The design, fabrication and application of a 3-nodal microfluidic chip integrated with MEAs is demonstrated as a versatile study platform for neurobiology and pathophysiology and enables in vitro modelling of neural networks to study their functional connectomes in the context of neurodegenerative disease and CNS trauma.

TL;DR: In this article, the authors highlight how studying criticality with a broad perspective that integrates concepts from physics, experimental and theoretical neuroscience, and computer science can provide a greater understanding of the mechanisms that drive networks to criticality and how their disruption may manifest in different disorders.

TL;DR: In this article, the authors report the preliminary analysis of the electrophysiological behavior of in vitro neuronal networks to identify when the networks are in a critical state based on the size distribution of network-wide avalanches of activity.