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GLOBAL SOLVABILITY OF A NETWORKED INTEGRATE-AND-FIRE MODEL OF MCKEAN–VLASOV TYPE
by
Rubenthaler, Sylvain
, Inglis, James
, Delarue, François
, Tanré, Etienne
in
60H10
/ 60J75
/ 60K35
/ 92C20
/ Cognitive science
/ first hitting time density estimates
/ integrate-and-fire network
/ Mathematical models
/ Mathematics
/ McKean nonlinear diffusion process
/ Neurons
/ Neuroscience
/ nonhomogeneous diffusion process
/ Probability
/ Probability distribution
/ renewal process
2015
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GLOBAL SOLVABILITY OF A NETWORKED INTEGRATE-AND-FIRE MODEL OF MCKEAN–VLASOV TYPE
by
Rubenthaler, Sylvain
, Inglis, James
, Delarue, François
, Tanré, Etienne
in
60H10
/ 60J75
/ 60K35
/ 92C20
/ Cognitive science
/ first hitting time density estimates
/ integrate-and-fire network
/ Mathematical models
/ Mathematics
/ McKean nonlinear diffusion process
/ Neurons
/ Neuroscience
/ nonhomogeneous diffusion process
/ Probability
/ Probability distribution
/ renewal process
2015
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Do you wish to request the book?
GLOBAL SOLVABILITY OF A NETWORKED INTEGRATE-AND-FIRE MODEL OF MCKEAN–VLASOV TYPE
by
Rubenthaler, Sylvain
, Inglis, James
, Delarue, François
, Tanré, Etienne
in
60H10
/ 60J75
/ 60K35
/ 92C20
/ Cognitive science
/ first hitting time density estimates
/ integrate-and-fire network
/ Mathematical models
/ Mathematics
/ McKean nonlinear diffusion process
/ Neurons
/ Neuroscience
/ nonhomogeneous diffusion process
/ Probability
/ Probability distribution
/ renewal process
2015
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GLOBAL SOLVABILITY OF A NETWORKED INTEGRATE-AND-FIRE MODEL OF MCKEAN–VLASOV TYPE
Journal Article
GLOBAL SOLVABILITY OF A NETWORKED INTEGRATE-AND-FIRE MODEL OF MCKEAN–VLASOV TYPE
2015
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Overview
We here investigate the well-posedness of a networked integrate-and-fire model describing an infinite population of neurons which interact with one another through their common statistical distribution. The interaction is of the self-excitatory type as, at any time, the potential of a neuron increases when some of the others fire: precisely, the kick it receives is proportional to the instantaneous proportion of firing neurons at the same time. From a mathematical point of view, the coefficient of proportionality, denoted by α, is of great importance as the resulting system is known to blow-up for large values of α. In the current paper, we focus on the complementary regime and prove that existence and uniqueness hold for all time when α is small enough.
Publisher
Institute of Mathematical Statistics,Institute of Mathematical Statistics (IMS),The Institute of Mathematical Statistics
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