AdExIF¶
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class
AdExIF
¶ Leaky Integrate-and-Fire neuron with Exponential spike rise and adaptation via an adapting current w.Rm*Cm * dVm/dt = -(Vm-Em) + deltaThresh * exp((Vm-thresh)/deltaThresh) + Rm*I - w tau_w * d w /dt = a0*(Vm-Em) - w at each spike, w -> w + b0
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setW
()¶ (destination message field) Assigns field value.
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getW
()¶ (destination message field) Requests field value. The requesting Element must provide a handler for the returned value.
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setTauW
()¶ (destination message field) Assigns field value.
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getTauW
()¶ (destination message field) Requests field value. The requesting Element must provide a handler for the returned value.
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setA0
()¶ (destination message field) Assigns field value.
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getA0
()¶ (destination message field) Requests field value. The requesting Element must provide a handler for the returned value.
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setB0
()¶ (destination message field) Assigns field value.
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getB0
()¶ (destination message field) Requests field value. The requesting Element must provide a handler for the returned value.
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w
¶ double (value field) adaptation current with time constant tauW
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tauW
¶ double (value field) time constant of adaptation current w
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a0
¶ double (value field) factor for voltage-dependent term in evolution of adaptation current: tau_w dw/dt = a0*(Vm-Em) - w
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b0
¶ double (value field) b0 is added to w, the adaptation current on each spike
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