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Glossary

Raul Montoya Cardenas edited this page Jul 29, 2026 · 2 revisions

Glossary

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Codebase-specific terms for LiquidCortex.jl onboarding. Pointers refer to main layout.

Term Definition Code pointer
LSM Liquid State Machine — recurrent reservoir + readout package overview
SparseBrain 65,536-neuron sparse CUDA lobe with OU-SDE LIF dynamics src/sparse_brain.jl
EnsembleBrain Four SparseBrain lobes with fixed aggregation weights src/sparse_brain.jl
Reference LSM 2,048 dense tanh reservoir for prototyping src/reference_lsm.jl
OU-SDE Ornstein–Uhlenbeck stochastic differential equation for membrane noise SIGMA, noise term in _step_impl!
LIF Leaky integrate-and-fire style spike / reset / refrac V, S, refrac
τ_m / tau_m Membrane time constant (ms); per-lobe in ensemble LOBE_TAUS, constructor arg
cuSPARSE CUDA sparse mat-vec for W * S in Float16 CuSparseMatrixCSC
Float16 weights Recurrent sparse values stored as F16 to fit VRAM W field
Echo-state scaling Init scales sparse W toward spectral radius ≈ 0.9 constructor scale_factor
Xavier / Glorot Variance scaling for W_in / W_out init constructor
Global inhibition Caller scalar raises v_thresh_dynamic INHIBITION_GAIN, MAX_INHIBITION
Reflex gating ` reflex_signal
Flash-learning Informal name for the 5× Fast-lobe rate boost ensemble path
STDP / covariance learning Trace-based plasticity framing; implemented Hebb on W_out traces + 10-tick update
Eligibility trace Decaying pre/post spike memory trace_pre, trace_post
History buffer Circular HIST_DEPTH × N spike log history, hist_idx, hist_full
COV_SUBSAMPLE 8192 neurons for tractable covariance compute_reservoir_covariance!
_cuda_available Ref{Bool} set in __init__ from CUDA.functional() src/LiquidCortex.jl
cpu_randn_cu Host Gaussian sample + upload (CUDA RNG workaround) sparse_brain.jl
n_in / n_out Configurable input/output dimensions constructors
MarketPulse (removed) Former domain pulse type; not exported after PR #12 tests assert absence
Sentry capture Non-blocking exception report when DSN set _capture_runtime_exception
Lobe weights 0.4 / 0.3 / 0.2 / 0.1 Fast→Integrator LOBE_WEIGHTS

Key Numeric Defaults

Name Value
N 65_536
CONN_PROB 0.01
HIST_DEPTH 1000
ETA 0.001
Default SparseBrain n_in / n_out 14 / 16
Reference REF_N 2048

See Also


Last updated: July 28, 2026 Updated by: Grok Build: Grok 4.5 Package tip reference: 4e2698c (main)

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