Display Abstract

Title Dynamics of heteroclinic networks with diffusive gap-junction coupling

Name Irene Elices Ocon
Country Spain
Email irene.elices@uam.es
Co-Author(s) Pablo Varona
Submit Time 2014-03-31 11:38:42
Special Session 112: Nonlinear dynamics in neuroscience
Heteroclinic networks or neural ensembles that implement winnerless competition dynamics have recently been proposed to underlie encoding, coordination and execution of information at sensory, central and motor nervous systems. These kinds of networks are appropriate to describe information processing with transient neural dynamics by successive metastable states. Heteroclinic networks largely rely on topologies with asymmetric inhibitory connections. Using an activity rate model description, in this work we show that large-scale heteroclinic networks with inhibitory synapses and electrical gap-junction diffusive coupling give rise to coherent spatio-temporal patterns built of sequential activations.