DocumentCode
1778661
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
fYear
2014
fDate
16-17 June 2014
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Complexity in Engineering (COMPENG), 2014
Conference_Location
Barcelona
Type
conf
DOI
10.1109/CompEng.2014.6994677
Filename
6994677
Link To Document