Cultured Neuronal Networks Express Complex Patterns of Activity and Morphological Memory

Raichman, Nadav; Rubinsky, Liel; Shein, Mark; Baruchi, Itay; Volman, Vladislav; Ben‐Jacob, Eshel

doi:10.1142/9789812838803_0012

Cited by 1 publication

(2 citation statements)

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“…The human brain is considered to be one of the most complex systems and thus understanding the principles which underlie its activity requires simpler models (Koch and Laurent, 1999 ). Cultured neural networks with engineered geometry provided simple model systems for studying important motives of mutual synchronization and activity propagation (Baruchi et al, 2008 ; Raichman and Ben-Jacob, 2008 ; Raichman et al, 2009 ). Multielectrode arrays (MEA) have provided simple, tractable and efficient model systems for studying important motives of cultured networks and also provide a useful framework to study general information processing properties and specific basic learning mechanisms in the nervous system (Potter, 2001 ; Baruchi and Ben-Jacob, 2007 ; Chiappalone et al, 2007 ).…”

Section: Introductionmentioning

confidence: 99%

“…The capability of cultured neural networks to spontaneously generate repeating motifs on long time scales (hours) is highly significant for various applications. For example it affords neuronal networks in vitro to maintain long-term memory (Raichman and Ben-Jacob, 2008 ; Raichman et al, 2009 ). It was shown that printed (by local chemical stimulation) new activity motifs (activity propagation patterns) can also be maintained by the cultured networks for long times (Baruchi and Ben-Jacob, 2007 ).…”

Section: Introductionmentioning

confidence: 99%

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Wrestling model of the repertoire of activity propagation modes in quadruple neural networks

Shteingart

Raichman

Baruchi

et al. 2010

Front. Comput. Neurosci.

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The spontaneous activity of engineered quadruple cultured neural networks (of four-coupled sub-networks) exhibits a repertoire of different types of mutual synchronization events. Each event corresponds to a specific activity propagation mode (APM) defined by the order of activity propagation between the sub-networks. We statistically characterized the frequency of spontaneous appearance of the different types of APMs. The relative frequencies of the APMs were then examined for their power-law properties. We found that the frequencies of appearance of the leading (most frequent) APMs have close to constant algebraic ratio reminiscent of Zipf's scaling of words. We show that the observations are consistent with a simplified “wrestling” model. This model represents an extension of the “boxing arena” model which was previously proposed to describe the ratio between the two activity modes in two coupled sub-networks. The additional new element in the “wrestling” model presented here is that the firing within each network is modeled by a time interval generator with similar intra-network Lévy distribution. We modeled the different burst-initiation zones’ interaction by competition between the stochastic generators with Gaussian inter-network variability. Estimation of the model parameters revealed similarity across different cultures while the inter-burst-interval of the cultures was similar across different APMs as numerical simulation of the model predicts.

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