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Topic: burst shapes

ePoster
1 ePoster

In Biology and Computational Neuroscience

ePoster · Computational Neuroscience

Unsupervised clustering of burst shapes reveals the increasing complexity of developing networks in vitro

Tim Schäfer, Emmanouil Giannakakis, Paul Schmidt-Barbo, Anna Levina, Oleg Vinogradov · Bernstein Conference 2024

Spontaneous activity of neuron populations is often characterized by unique network events, ranging from sharp-wave ripples to slow propagating waves. One of the prominent examples of such network events is population bursting (Fig. 1a), robustly emerging in networks of primary neurons in vitro [1]. Population bursting is believed to depend on the genetic, single neuron, and network features. Typically, the events are characterized via several summary statistics and compared between observations [2]. Although changes in the burst morphology are frequently observed, they are much harder to quan