NEST-Compatible Network Builder

High-level builders, projections, connection rules, and simulation utilities for assembling and running NEST-compatible networks in brainpy.state. This is the declarative, NEST-like network layer: describe populations and connections with a Builder, materialize a Network, and drive it with a Simulator.

Network Construction & Execution

Assemble a network from a declarative description and run it.

network.Network	brainpy.state network base class.
network.Builder	Imperative variant of 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

Collect spikes, state variables, and synaptic weights during simulation.

network.Recorder	Forward a source-population signal to a passive NESTDevice each step.
network.weight_recorder_events	Per-send weight events over a weight trajectory (the thin send-view).

Projection Classes

Connect populations under the various NEST-like connection rules.

network.OneToOneProj	One-to-one connection: edge (i, i) for i = 0..N-1.
network.AllToAllProj	All-to-all connectivity.
network.PairwiseBernoulliProj	Each (pre, post) pair has independent Bernoulli probability p.
network.SymmetricPairwiseBernoulliProj	Symmetric Bernoulli: if edge (i,j) exists then (j,i) exists too.
network.FixedIndegreeProj	Each post-synaptic neuron receives exactly K incoming edges.
network.FixedOutdegreeProj	Each pre-synaptic neuron has exactly K outgoing edges.
network.FixedTotalNumberProj	Exactly N edges drawn uniformly over the (pre, post) grid.
network.PairwisePoissonProj	Each (pre, post) pair has a Poisson-distributed number of edges with mean mean.
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).