TY - GEN
T1 - Model studies on time-scaled phase response curves and synchronization transition
AU - Sato, Yasuomi D.
AU - Okumura, Keiji
AU - Shiino, Masatoshi
PY - 2010
Y1 - 2010
N2 - We studied possibilities of classification of single spike neuron models by their intrinsic timescale parameters, because little is known about changes of timescale on spiking dynamics, and its influence on other spike properties and network dynamics such as synchronization. Using both FitzHugh-Nagumo (FHN) type and Terman-Wang (TW) type of theoretically tractable models, analysis of the phase response curve (PRC) found common and unique dynamic characteristics with respect to two parameters of timescale and injected current amplitude in the models. Also, a scheme of synchronization transition in the identical pair systems, in which two identical models mutually interact through the same model of synaptic response, was systematically explained by controlling these parameters. Then we found their common and unique synchronous behaviors.
AB - We studied possibilities of classification of single spike neuron models by their intrinsic timescale parameters, because little is known about changes of timescale on spiking dynamics, and its influence on other spike properties and network dynamics such as synchronization. Using both FitzHugh-Nagumo (FHN) type and Terman-Wang (TW) type of theoretically tractable models, analysis of the phase response curve (PRC) found common and unique dynamic characteristics with respect to two parameters of timescale and injected current amplitude in the models. Also, a scheme of synchronization transition in the identical pair systems, in which two identical models mutually interact through the same model of synaptic response, was systematically explained by controlling these parameters. Then we found their common and unique synchronous behaviors.
KW - Deterministic Phase Reduction
KW - Phase Response Curves
KW - Single Spike Neuron Models
KW - Time Scale Controlling
UR - http://www.scopus.com/inward/record.url?scp=78650193226&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650193226&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17537-4_12
DO - 10.1007/978-3-642-17537-4_12
M3 - Conference contribution
AN - SCOPUS:78650193226
SN - 3642175368
SN - 9783642175367
VL - 6443 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 91
EP - 98
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 17th International Conference on Neural Information Processing, ICONIP 2010
Y2 - 22 November 2010 through 25 November 2010
ER -