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The classic leaky integrate-and-fire (LIF) model [9] and its generalized form (SRM) are widely used as a neuron model.
Despite differences from the classical Hodgkin–Huxley (HH) neuron model, its bifurcation sequences and dynamical properties are preserved, validating the circuit as a neuron model.
In response to variations of intrinsic parameters, or an external applied current, like I in (1), a neuron model should demonstrate, migrate, and switch flexibly between various types of activities such as quiescence, tonic spiking and bursting.
Indeed, a neuron model with a multiple time-scale current efficiently encodes input history over several time-scales [55].
The voltage reset allows to include some, but not all refractory properties in a neuron model (Badel et al. 2007).
The human SHSY5Y neuroblastoma cell line has been extensively used as a neuron model in many neurobiological, neurochemical, and neurotoxicological studies [ 32- 37].
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In this Letter, we will propose a simple design method for a bursting neuron model with a specified period and duty ratio of the bursting based on bifurcation theory.
Their performances were assessed using multiple neuronal spike trains generated by a biophysical neuron model and by a directional tuning model of the primary motor cortex.
In this paper, we propose a new neuron model based on a polynomial architecture.
We present a simple neuron model that shows a rich property in spite of the simple structure derived from a simplification of the Hindmarsh-Rose, the Morris-Lecar, and the Hodgkin-Huxley models.
The difficulty in combining these problems is that while the first one requires a discrete neuron model, the latter requires a continuous neuron model.
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