TY - JOUR
T1 - Chimera states in neuronal networks
T2 - A review
AU - Majhi, Soumen
AU - Bera, Bidesh K.
AU - Ghosh, Dibakar
AU - Perc, Matjaž
N1 - Funding Information:
Dibakar Ghosh was supported by the Department of Science and Technology of the Government of India (Grant EMR/2016/001039 ). Matjaž Perc was supported by the Slovenian Research Agency (Grants J1-7009 and P5-0027 ).
Funding Information:
Dibakar Ghosh was supported by the Department of Science and Technology of the Government of India (Grant EMR/2016/001039). Matjaž Perc was supported by the Slovenian Research Agency (Grants J1-7009 and P5-0027).
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Neuronal networks, similar to many other complex systems, self-organize into fascinating emergent states that are not only visually compelling, but also vital for the proper functioning of the brain. Synchronous spatiotemporal patterns, for example, play an important role in neuronal communication and plasticity, and in various cognitive processes. Recent research has shown that the coexistence of coherent and incoherent states, known as chimera states or simply chimeras, is particularly important and characteristic for neuronal systems. Chimeras have also been linked to the Parkinson's disease, epileptic seizures, and even to schizophrenia. The emergence of this unique collective behavior is due to diverse factors that characterize neuronal dynamics and the functioning of the brain in general, including neural bumps and unihemispheric slow-wave sleep in some aquatic mammals. Since their discovery, chimera states have attracted ample attention of researchers that work at the interface of physics and life sciences. We here review contemporary research dedicated to chimeras in neuronal networks, focusing on the relevance of different synaptic connections, and on the effects of different network structures and coupling setups. We also cover the emergence of different types of chimera states, we highlight their relevance in other related physical and biological systems, and we outline promising research directions for the future, including possibilities for experimental verification.
AB - Neuronal networks, similar to many other complex systems, self-organize into fascinating emergent states that are not only visually compelling, but also vital for the proper functioning of the brain. Synchronous spatiotemporal patterns, for example, play an important role in neuronal communication and plasticity, and in various cognitive processes. Recent research has shown that the coexistence of coherent and incoherent states, known as chimera states or simply chimeras, is particularly important and characteristic for neuronal systems. Chimeras have also been linked to the Parkinson's disease, epileptic seizures, and even to schizophrenia. The emergence of this unique collective behavior is due to diverse factors that characterize neuronal dynamics and the functioning of the brain in general, including neural bumps and unihemispheric slow-wave sleep in some aquatic mammals. Since their discovery, chimera states have attracted ample attention of researchers that work at the interface of physics and life sciences. We here review contemporary research dedicated to chimeras in neuronal networks, focusing on the relevance of different synaptic connections, and on the effects of different network structures and coupling setups. We also cover the emergence of different types of chimera states, we highlight their relevance in other related physical and biological systems, and we outline promising research directions for the future, including possibilities for experimental verification.
KW - Chimeras
KW - Multilayer networks
KW - Neuronal networks
KW - Synaptic communication
KW - Synchronization
UR - http://www.scopus.com/inward/record.url?scp=85053316356&partnerID=8YFLogxK
U2 - 10.1016/j.plrev.2018.09.003
DO - 10.1016/j.plrev.2018.09.003
M3 - Review article
C2 - 30236492
AN - SCOPUS:85053316356
VL - 28
SP - 100
EP - 121
JO - Physics of Life Reviews
JF - Physics of Life Reviews
SN - 1571-0645
ER -