Special Session 43: Stochastic Networks with Applications to Neuroscience
نویسنده
چکیده
Dynamical networks feature a rich variety of spatio-temporal phenomena including synchrony, bursting and avalanches, formation of clusters and waves, intermittency, and chaos. Understanding the mechanisms underlying network dynamics requires a combination of tools from several mathematical disciplines: dynamical systems, stochastic processes, and discrete mathematics. The talks in this special session explore di↵erent aspects of network dynamics emphasizing the role of stochasticity and its applications to neuroscience.
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