title: Manifestation of function-follow-form in cultured neuronal networks.
abstract: We expose hidden function-follow-form schemata in the recorded activity of cultured neuronal networks by comparing the activity with simulation results of a new modeling approach. Cultured networks grown from an arbitrary mixture of neuron and glia cells in the absence of external stimulations and chemical cues spontaneously form networks of different sizes (from 50 to several millions of neurons) that exhibit non-arbitrary complex spatio-temporal patterns of activity. The latter is marked by formation of a sequence of synchronized bursting events (SBEs)--short time windows (approximately 200 ms) of rapid neuron firing, separated by longer time intervals (seconds) of sporadic neuron firing. The new dynamical synapse and soma (DSS) model, used here, has been successful in generating sequences of SBEs with the same statistical scaling properties (over six time decades) as those of the small networks. Large networks generate statistically distinct sub-groups of SBEs, each with its own characteristic pattern of neuronal firing ('fingerprint'). This special function (activity) motif has been proposed to emanate from a structural (form) motif--self-organization of the large networks into a fabric of overlapping sub-networks of about 1 mm in size. Here we test this function-follow-form idea by investigating the influence of the connectivity architecture of a model network (form) on the structure of its spontaneous activity (function). We show that a repertoire of possible activity states similar to the observed ones can be generated by networks with proper underlying architecture. For example, networks composed of two overlapping sub-networks exhibit distinct types of SBEs, each with its own characteristic pattern of neuron activity that starts at a specific sub-network. We further show that it is possible to regulate the temporal appearance of the different sub-groups of SBEs by an additional non-synaptic current fed into the soma of the modeled neurons. The ability to regulate the relative temporal ordering of different SBEs might endow the networks with higher plasticity and complexity. These findings call for additional mechanisms yet to be discovered. Recent experimental observations indicate that glia cells coupled to neuronal soma might generate such non-synaptic regulating currents.
authors.affiliation: School of Physics and Astronomy, Raymond & Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel.
authors.forename: Vladislav
authors.initials: V
authors.lastname: Volman
authors.forename: Itay
authors.initials: I
authors.lastname: Baruchi
authors.forename: Eshel
authors.initials: E
authors.lastname: Ben-Jacob
mesh_terms: D000200:Action Potentials; D000818:Animals; D001703:Biophysics / Q000379:methods*; D002478:Cells, Cultured; D004566:Electrodes; D008954:Models, Biological; D008958:Models, Molecular; D015233:Models, Statistical; D009415:Nerve Net; D009457:Neuroglia / Q000378:metabolism; D009474:Neurons / Q000378:metabolism*; D051381:Rats; D013569:Synapses / Q000378:metabolism; D009435:Synaptic Transmission; D013997:Time Factors