糖心TV Complexity Science Events
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Complexity Forum - Marc Timme
Title: Spatio-temporal patterns and synchronization in neural networks with nonlinear coupling
Abstract:
Synchronization and the formation of spatio-temporal patterns of spikes have been experimentally observed in different neuronal systems. Such patterns correlate with external stimuli and internal 'mental' states and are thus believed to play a key role in information processing in the brain. Their dynamical origin, however, remains unkown.
Here we present the first study of recurrent spiking neural networks with supra-additive dendritic interactions. We show that supra-additive dendritic interactions, as recently uncovered in experiments, enable the propagation of synchronous activity in recurrent networks - a possible mechanism for spike patterns. Interestingly, this occurs already in recurrent networks that are purely randomly connected. These findings indicate that even networks without any specific non-random connectivity features may generate patterns of precisely timed spikes. As such our study suggests a new mechanism for the occurrence of spike patterns in recurrent networks and adds a novel perspective towards understanding the dynamics of networks with nonlinear interactions in genera.