inferno.neural.functional

Encodings

homogeneous_poisson_exp_interval	Generates a tensor of spikes using a Poisson distribution.
homogeneous_poisson_exp_interval_online	Yields a generator for tensor slices of a Poisson spike train.
inhomogeneous_poisson_bernoulli_approx	Generates a tensor of spikes approximating an inhomogeneous Poisson distribution.
poisson_interval	Generates a tensor of spikes with Poisson determined intervals.
poisson_interval_online	Yields a generator for tensor slices of a spike train with Poisson-sampled intervals.

Neuronal Dynamics

adaptive_currents_linear	Update adaptive currents based on membrane potential and postsynaptic spikes.
adaptive_thresholds_linear_spike	Update adaptive thresholds based on postsynaptic spikes.
adaptive_thresholds_linear_voltage	Update adaptive thresholds based on membrane potential.
apply_adaptive_currents	Applies simple adaptation to presynaptic currents.
apply_adaptive_thresholds	Applies simple adaptation to voltage firing thresholds.
voltage_integration_linear	Integrates input currents into membrane voltages using linear dynamics.
voltage_integration_quadratic	Integrates input currents into membrane voltages using quadratic dynamics.
voltage_thresholding_constant	Manage refractory periods, spiking, and voltage based on voltage thresholding.
voltage_thresholding_linear	Manage refractory periods, spiking, and voltage based on voltage thresholding.