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The exponential integrate-and-fire model (EIF) is a biological neuron model, a simple modification of the classical leaky integrate-and-fire model describing how neurons produce action potentials. In the EIF, the threshold for spike initiation is replaced by a depolarizing non-linearity.
The adaptive exponential integrate-and-fire model inherits the experimentally derived voltage nonlinearity [31] of the exponential integrate-and-fire model. But going beyond this model, it can also account for a variety of neuronal firing patterns in response to constant stimulation, including adaptation, bursting, and initial bursting. [ 26 ]
Integrate-and-fire models with different types of synaptic currents or potentials; Integrate-and-fire models with conductance based synapses; Single compartment Hodgkin–Huxley models; Adaptive Exponential Integrate and Fire neuron (AdEx) MAT2 neuron model
The following code defines, runs and plots a randomly connected network of leaky integrate and fire neurons with exponential inhibitory and excitatory currents. Sample raster plot from randomly connected network of integrate and fire neurons with exponential inhibitory and excitatory currents.
Exponential integrate-and-fire: Describes compact and computationally efficient nonlinear spiking neuron models with one or two variables: Neuroscience: FitzHugh–Nagumo model: Describes a prototype of an excitable system (e.g., a neuron) Neuroscience: Hardy–Weinberg principle
Exponential integrate-and-fire; F. Fast Analog Computing with Emergent Transient States; FitzHugh–Nagumo model; Free energy principle; G. Galves–Löcherbach model; H.
Prior integrate-and-fire models with stochastic characteristics relied on including a noise to simulate stochasticity. [5] The Galves–Löcherbach model distinguishes itself because it is inherently stochastic, incorporating probabilistic measures directly in the calculation of spikes.
Exponential integrate-and-fire; F. Facial electromyography; FitzHugh–Nagumo model; Focused impedance measurement; Forward problem of electrocardiology; G.