braintools module

BrainTools aggregates reusable building blocks for spiking neural computations, including encoders, spike arithmetic utilities, and parameter transforms.

Spike Encoders

Encoders that convert continuous-valued signals or event streams into spike trains suitable for spiking network simulations.

LatencyEncoder	Encode the rate input as the spike train using the latency encoding.
RateEncoder	Encode analog values into spike rates using various rate encoding methods.
PoissonEncoder	Encode inputs as Poisson spike trains.
PopulationEncoder	Encode scalar values using population coding.
BernoulliEncoder	Encode inputs using independent Bernoulli processes.
DeltaEncoder	Encode temporal differences (delta changes) in input signals.
StepCurrentEncoder	Encode inputs as step current injections for LIF neurons.
SpikeCountEncoder	Encode inputs as exact spike counts over time windows.
TemporalEncoder	Encode temporal patterns using synchronized spike timing.
RankOrderEncoder	Encode inputs using rank order coding.

Spike Operations

Vectorized boolean and arithmetic helpers for manipulating spike trains and combining encoder outputs.

spike_bitwise_or	Perform a bitwise OR operation on spike tensors.
spike_bitwise_and	Perform a bitwise AND operation on spike tensors.
spike_bitwise_iand	Perform a bitwise IAND (Inverse AND) operation on spike tensors.
spike_bitwise_not	Perform a bitwise NOT operation on spike tensors.
spike_bitwise_xor	Perform a bitwise XOR operation on spike tensors.
spike_bitwise_ixor	Perform a bitwise IXOR (Inverse XOR) operation on spike tensors.
spike_bitwise	Perform bitwise operations on spike tensors.