Model Directory: generator

Device

• ac_generator – Produce an alternating current (AC) input

• dc_generator – Provide a direct current (DC) input

• gamma_sup_generator – Simulate the superimposed spike train of a population of gamma processes

• inhomogeneous_poisson_generator – Provides Poisson spike trains at a piecewise constant rate

• mip_generator – Create spike trains as described by the MIP model

• noise_generator – Generate a Gaussian white noise current

• poisson_generator – Generate spikes with Poisson process statistics

• poisson_generator_ps – Simulated neuron firing with Poisson process statistics - precise spike timing version with arbitrary dead times

• ppd_sup_generator – Simulate the superimposed spike train of a population of Poisson processes with dead time

• pulsepacket_generator – Generate sequence of Gaussian pulse packets

• sinusoidal_gamma_generator – Generates sinusoidally modulated gamma spike trains

• sinusoidal_poisson_generator – Generate sinusoidally modulated Poisson spike trains

• spike_dilutor – Repeat incoming spikes with a certain probability

• spike_generator – Generate spikes from an array with spike-times

• step_current_generator – Provide a piecewise constant DC input current

• step_rate_generator – Provide a piecewise constant input rate

• volume_transmitter – Support node for neuromodulated synaptic plasticity

Precise

• poisson_generator_ps – Simulated neuron firing with Poisson process statistics - precise spike timing version with arbitrary dead times

Rate

• step_rate_generator – Provide a piecewise constant input rate