Synthetic reverberating activity patterns embedded in networks of cortical neurons

Abstract

Synthetic reverberating activity patterns are experimentally generated by stimulation of a subset of neurons embedded in a spontaneously active network of cortical cells in-vitro. The neurons are artificially connected by means of conditional stimulation matrix, forming a synthetic local circuit with a predefined programmable connectivity and time-delays. Possible uses of this experimental design are demonstrated, analyzing the sensitivity of these deterministic activity patterns to transmission delays and to the nature of ongoing network dynamics.

Complex photonics: Dynamics and applications of delay-coupled semiconductors lasers

“…The synchronization of neural activity has been confirmed by numerical simulations and controlled in vitro experiments (Kanter, Kopelowitz et al, 2011;Vardi et al, 2012). Figure 48 (right column) presents the appearance of synchronized clusters in different neuronal circuits.…”

“…Figure 48 (right column) presents the appearance of synchronized clusters in different neuronal circuits. The temporal patterns of reverberating synchronized neural electrical activity are generated by sequential stimulation of a circuit of neurons embedded within a large scale of in vitro cortical cells (Vardi et al, 2012).…”

“…It was shown that a single nonlinear element with delay is capable of performing complex classification tasks by using its transient response when its own dynamics are mixed with an external information stream (Appeltant et al, 2011). The Adapted from Vardi et al, 2012. implementation of this information processing concept was recently extended to photonics by using an optoelectronic oscillator (Larger et al, 2012;Paquot et al, 2012). As noted by Larger et al (2012), the concept is rather independent of the precise nonlinear element used, even if the overall performance of the system depends significantly on the operating conditions.…”

Strong and weak chaos in networks of semiconductor lasers with time-delayed couplings

“…(1)- (5). In order to approximate the formal limits as well as possible with a finite simulation run, we typically choose an integration period of 1000 delay times.…”

“…Examples range from neural over social networks to technological applications with networks of coupled lasers [1][2][3][4][5]. The dynamical units of the network exchange information with a finite propagation velocity, which results in time delays in the transmission.…”