Steffen Kandler

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Neuronal cultures are small living networks in a closed system. This paper investigates the question whether it is possible to discover the functional connectivity and to model the dynamics of such neuronal cultures. Doing so may contribute to a better understanding of neural information processing. We employ a machine learning approach, which constructs(More)
Spontaneous activity in the absence of external input, including propagating waves of activity, is a robust feature of neuronal networks in vivo and in vitro The neurophysiological and anatomical requirements for initiation and persistence of such activity, however, are poorly understood, as is their role in the function of neuronal networks. Computational(More)
The principle of self-organization is fundamental for the adaptive formation and modification of functional circuits in many parts of the nervous system. At a cellular level, cortical micro-circuitry evolves on the basis of activity-dependent biochemical processes that guide neuronal wiring and that are differentially regulated in the course of development.(More)
The emergence of spontaneous bursting events in developing neuronal networks likely depends on the evolving network connectivity. Theoretical models have shown that hierarchical network structures embedding clusters of strongly interconnected neurons are optimal for initiating and sustaining spontaneous activity [1]. It is conceivable that(More)
Cultured neuronal networks are an interesting experimental model in which neurons are freed from cortical architecture and plated on microelectrode arrays (MEA). Present in their dynamics are periods of strongly synchronized spiking by the network, termed 'bursting', whose role is not understood but dominates network dynamics and, due to its resistance to(More)
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