Title :
Experimental characterization of the dynamics in a network of chaotic FitzHugh-Nagumo neurons
Author :
Ciszak, M. ; Arecchi, F.T. ; Euzzor, S. ; Meucci, R.
Author_Institution :
Ist. Naz. di Ottica, Florence, Italy
Abstract :
When FitzHugh-Nagumo (FHN) driven oscillators are coupled, their dynamics tend to be synchronized. We show that the chaotically spiking neurons change their internal dynamics to subthreshold oscillations, the phenomenon referred to as firing death. These dynamical changes are observed below the critical coupling strength at which the transition to full chaotic synchronization occurs. Moreover, we find various dynamical regimes in the subthreshold oscillations, namely, regular, quasiperiodic, and chaotic states. We show numerically that these dynamical states may coexist with large-amplitude spiking regimes and that this coexistence is characterized by riddled basins of attraction. The reported results are obtained for neurons implemented in the electronic circuits as well as for the model equations. Finally, we comment on the possible scenarios where the coupling-induced firing death could play an important role in biological systems.
Keywords :
chaos; neural nets; oscillators; synchronisation; FHN driven oscillators; FitzHugh-Nagumo driven oscillators; chaotic FitzHugh-Nagumo neuron network; chaotic states; chaotic synchronization; chaotically spiking neurons; coupling-induced firing death; critical coupling strength; electronic circuits; experimental characterization; large-amplitude spiking regimes; quasiperiodic states; regular states; subthreshold oscillations; Bifurcation; Chaos; Couplings; Firing; Mathematical model; Oscillators; Synchronization; Fitzllugh-Nagumo driven oscillator; chaotic networks; synchronization;
Conference_Titel :
Complexity in Engineering (COMPENG), 2014
Conference_Location :
Barcelona
DOI :
10.1109/CompEng.2014.6994677