Delay-induced spiking dynamics in integrate-and-fire neurons
نویسندگان
چکیده
Experiments showed that a neuron can fire when its membrane potential (an intrinsic quality related to electrical charge) reaches specific threshold. On theoretical studies, there are two crucial issues in exploring cortical neuronal dynamics: (i) what model describes spiking dynamics of each neuron, and (ii) how the neurons connected [E. M. Izhikevich, IEEE Trans. Neural Networks, 15 (2004)]. To study first issue, we propose time delay effect on well-known integrate-and-fire (IF) which is classically introduced behaviors neural systems by using spike-and-reset procedure. Under consideration delayed adaptation potential, parameter range for IF with becomes wider due undergoing subcritical Hopf bifurcation existence an unstable orbit. second consider system coupled identical units where takes place coupling structure. We also demonstrate large enough, it contributes original viewpoint connection between neurons. In contrast emergence delay-induced single-neuron system, two-neuron involve both death according different values times. discuss ranges parameters allows occurrence behaviors.
منابع مشابه
Spiking Dynamics of Bidimensional Integrate-and-Fire Neurons
Spiking neuron models are hybrid dynamical systems combining differential equations and discrete resets, which generate complex dynamics. Several two-dimensional spiking models have been recently introduced, modeling the membrane potential and an additional variable, and where spikes are defined by the divergence of the membrane potential variable to infinity. These simple models reproduce a la...
متن کاملIntegrate and Fire Neurons
SpikeNET is a simulator for modeling large networks of asynchronously spiking neurons. It uses simple integrate-and-fire neurons which undergo step-like changes in membrane potential when synaptic inputs arrive. If a threshold is exceeded, the potential is reset and the neuron added to a list to be propagated on the next time step. Using such spike lists greatly reduces the computations associa...
متن کاملLocally Contractive Dynamics in Generalized Integrate-and-Fire Neurons
Integrate-and-fire models of biological neurons combine differential equations with discrete spike events. In the simplest case, the reset of the neuronal voltage to its resting value is the only spike event. The response of such a model to constant input injection is limited to tonic spiking. We here study a generalized model in which two simple spike-induced currents are added. We show that t...
متن کاملExact differential equation population dynamics for integrate-and-fire neurons
Mesoscopical, mathematical descriptions of dynamics of populations of spiking neurons are getting increasingly important for the understanding of large-scale processes in the brain using simulations. In our previous work, integral equation formulations for population dynamics have been derived for a special type of spiking neurons. For IntegrateandFire type neurons , these formulations were onl...
متن کاملDynamics of synaptically coupled integrate-and-fire-or-burst neurons.
The minimal integrate-and-fire-or-burst (IFB) neuron model reproduces the salient features of experimentally observed thalamocortical (TC) relay neuron response properties, including the temporal tuning of both tonic spiking (i.e., conventional action potentials) and postinhibitory rebound bursting mediated by a low-threshold calcium current. In this paper we consider networks of IFB neurons wi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Discrete and Continuous Dynamical Systems-series B
سال: 2021
ISSN: ['1531-3492', '1553-524X']
DOI: https://doi.org/10.3934/dcdsb.2020363