NEST-Compatible Simulator

The NEST-style Simulator and its helpers: create populations and devices, connect them under NEST-like connection rules, and simulate (create / connect / simulate).

Simulation

Create, connect, and run a network.

network.Simulator	Explicit NEST-flavored network builder and runner.
network.SimulationResult	Recorded spikes and analog traces from a Simulator.simulate() run.

Population Views & Synapse Collections

Handles returned when slicing populations or referring to groups of synapses.

network.NodeView	A view over one or more slices of populations/devices (NEST-style).
network.SynapseCollection	A filtered, lazy view over realized synapses (NEST SynapseCollection).

Recording

Read recorded synaptic weights after simulation.

network.weight_recorder_events

Per-send weight events over a weight trajectory (the thin send-view).

Event Projections

The projections Simulator.connect builds between populations.

network.EventProjection	Delayed, weighted delta-event projection from one population segment.
network.EventPlasticProj	Event-driven plastic projection from one population segment.
network.VoltageCoupledPlasticProj	Voltage-coupled plastic projection — primitive #2 of the typed family.

Connection Rules

Rule objects and helpers used to specify how populations are wired together.

network.ConnRule	Base class for connection rules.
network.all_to_all
network.one_to_one
network.fixed_indegree	Return a fixed-indegree rule: each post neuron gets exactly K edges.
network.fixed_total_number	Return a fixed-total-number rule: exactly N edges over the (pre, post) grid.
network.pairwise_bernoulli	Return a pairwise-Bernoulli rule: connect each (pre, post) pair with prob.
network.third_factor_bernoulli_with_pool	Return a third_factor_bernoulli_with_pool spec (NEST tripartite astro-pool rule).
network.explicit_edges	Return a rule wiring exactly the given (pre_idx[i], post_idx[i]) edges.
network.send_steps_from_pre	Step indices where each edge's presynaptic neuron fired (the send mask).