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Experimental and theoretical evidences support the possibility that the brain operates through coordinated activation of cell assemblies1-5, which can be regarded as dynamic functional units that transiently interact with each other, shaping and underlying different brain states. Functional modularity is also dependent on and associated with the structural modular organization of the brain circuits6,7. How function and structure of brain circuits mutually shape each other is still one of the main open questions in neuroscience. To provide a deeper understanding of this question, it is important to identify optimal experimental frameworks where it is possible to address, at least partially, those issues. Since controlled manipulation of the spatio-temporal dynamics of neuronal networks in in vivo experiments is challenging, the development of in vitro neuronal networks models is of significant interest due to their easy accessibility, monitoring, manipulation and modeling8,9. In recent years, in vitro technologies supported by advanced substrate patterning methods have allowed to induce neuronal networks to develop a range of predefined modular structures3 and to study the functional properties of networks with imposed topologies10. In particular, methods were recently used to organize networks by imposing physical constraints4,11. Indeed, to study the link between structure and function in neuronal networks and to provide a simplified but plausible representation of interacting neuronal assemblies, in vitro systems should provide inter-connected neuronal sub-populations. Widely studied 2D homogenous neuronal cultures do not impose any spatial constraints on the self-organized emergent wiring of the circuits. Therefore a possible approach to shape artificially interconnected cell assemblies is to position different neuronal populations in spatially distinct areas. The distance among these areas does not prevent the inter assemblies connections. This approach, while ensuring a considerable control over network complexity, has been shown to provide a richer repertoire of synchronization models6,7,12.
In order to facilitate a reproducible culturing of modular neuronal assemblies, a protocol to assemble the self-organization of networks into neuronal clusters linked by axons and dendrites is presented and described. The polymeric structure for the physical confinement of neuronal cultures has been created from polydimtheylsiloxane (PDMS). PDMS is an elastomer widely used for biomedical applications owing to its biocompatibility, transparency and permeability to gases13. The PDMS is prepared and excluded from the micromachined SU8 207514,15 structures by spin-coating a liquid PDMS onto a "master" as described previously in Jackman et al.16 The achieved patterned neuronal networks are composed of inter-connected modules of different size and they have been successfully obtained on both coverslips and Micro Electrode Arrays (MEAs)17-20. The density of connections between the modules can change the features of the network synchronization, from a fully synchronized network, typical of uniform cultures, to transient states of synchronization among modules.