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Altered network activity profiles in hippocampal neurons from GluR1-knockout mice cultured on multi-electrode arrays Paul Charlesworth(1); Andrew Morton(1); Stephen Eglen(2); Seth Grant(1). (1)Genes to Cognition, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA. (2)Cambridge Computational Biology Institute, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, CB3 0WA To investigate how synaptic molecules may influence the emergent properties of developing neuronal networks, we have studied neurons carrying targeted deletion of the AMPA receptor subunit, GluR1 (Gria1). Using multi-electrode arrays, we recorded the spontaneous network activity from primary cultures of embryonic hippocampal neurons from GluR1 knockout and wild-type mice for up to a month. We derived a set of parameters from the resulting spike train data which describe the pattern of network activity throughout the maturation of the cultures. From the start of the second week in culture, wild-type networks underwent a steep growth phase in the number of spikes, and these became increasingly entrained into rhythmic bursts. Simultaneous activations of large portions of the network, 'network spikes’, also became an increasingly prominent feature of their network activity profile. In the GluR1 deletion during this period, the entrainment of spikes into bursts was severely impaired, the spatiotemporal pattern of these bursts was disrupted, and the number of network spikes was substantially reduced. By week three, the activity of wild-type cultures was predominantly defined by periods of synchronous bursting across most of the network. By contrast, the ability of GluR1 knockout cultures to generate network spikes was still significantly reduced, despite having modified their activity at individual sites to fire mostly in bursts by this time. Our results demonstrate a role for GluR1-containing AMPA receptors in the expression of adaptive processes during the development and stabilisation of functional neuronal networks.