Various models of conductance-based spiking (point-) neurons.

Author

Jan Benda

Alexander Wolf

Version

1.2 (Jul 11, 2012)

The Gaussian white noise and the optional additional voltage gated currents are added to the input after the offset and gain for the input current has been applied.

Options

• Spike generator
• spikemodel=Stimulus: Spike model (string)
• noised=0: Intensity of current noise (number)
• deltat=0.005ms: Delta t (number)
• integrator=Euler: Method of integration (string)
• Voltage-gated current 1 (activation only)
• gmc=0: Conductivity (number)
• emc=-90mV: Reversal potential (number)
• mvmc=-40mV: Midpoint potential of activation (number)
• mwmc=10mV: Width of activation (number)
• taumc=10ms: Time constant (number)
• Voltage-gated current 2 (activation and inactivation)
• gmhc=0: Conductivity (number)
• emhc=-90mV: Reversal potential (number)
• mvmhc=-40mV: Midpoint potential of activation (number)
• mwmhc=10mV: Width of activation (number)
• taummhc=10ms: Time constant of activation (number)
• pmmhc=1: Power of activation gate (number)
• hvmhc=-40mV: Midpoint potential of inactivation (number)
• hwmhc=10mV: Width of inactivation (number)
• tauhmhc=10ms: Time constant of inactivation (number)
• pmhhc=1: Power of inactivation gate (number)