Skip to main content Crate sc_neurocore_engine Copy item path Source adc_to_spike Bit-true integer reference for the ADC-to-spike window rate-code encoder. adc_to_spike_binding 🔒 Python binding for decimating ADC samples into exact integer rate codes. analysis attention Stochastic Attention bitstream Bitstream Operations bitstream_binding 🔒 Python bindings for packing, unpacking, counting, and encoding bitstreams. brunel Fused Brunel balanced network simulation in fixed-point Q8.8 arithmetic. brunel_binding 🔒 Python binding for the fixed-point Brunel network simulator. coba_lif_binding 🔒 Python binding for the Brette et al. 2007 conductance-based LIF cell. connectome Biologically plausible connectivity generators. conv SC 2D convolutional layer using probability-domain multiplication. cordiv CORDIV: stochastic computing divider. cordiv_binding 🔒 Python bindings for CORDIV stochastic division and stream-length planning. cortical_column 5-population cortical column (Douglas & Martin 2004).
L4 (thalamic) → L2/3 exc ↔ L2/3 inh → L5 (output) → L6 (feedback → L4). cortical_column_binding 🔒 Python binding for the layered cortical-column simulator. cortical_inject Per-row-parallel CSR sparse matrix-vector add for the Potjans
CorticalColumn block-CSR injection path. cortical_inject_binding 🔒 Python bindings for per-row-parallel cortical-column CSR injection. dcls_binding 🔒 Python binding for the bit-true batched DCLS-max tent contraction. dense_layer_binding 🔒 Python binding for the stochastic-computing dense layer. dna High-performance DNA strand displacement pipeline. ei_network Fused E-I balanced LIF network simulation in f64 arithmetic. ei_network_binding 🔒 Python binding for the seeded excitatory/inhibitory network simulator. encoder Stochastic Encoders escape_rate_binding 🔒 Python binding for the Gerstner 2000 stochastic-threshold cell. evo Accelerates evolutionary substrate hot paths: evolution_binding 🔒 Python bindings for population-level evolutionary operators. exp_if_binding 🔒 Python binding for the exponential integrate-and-fire neuron. fault Hardware fault injection for robustness testing. fault_binding 🔒 Python bindings for deterministic byte-level hardware fault injection. fixed_point_lif_binding 🔒 Python bindings for sequential and parallel fixed-point LIF batch kernels. fusion Multi-modal fusion layer using stochastic multiplexing. grad graph Stochastic Graph Layer hdc_binding 🔒 Python binding for the packed binary vector used by HDC/VSA operations. iqif_binding 🔒 Python binding for the Wu et al. (2021) integer QIF neuron. ir SC Compute Graph IR izhikevich2007_binding 🔒 Python binding for the NeuroML Izhikevich 2007 model. izhikevich_binding 🔒 Python binding for the floating-point Izhikevich neuron. kuramoto_binding 🔒 Python binding and validation contracts for the Kuramoto solver. layer Dense Stochastic Layer learning_bindings 🔒 Registers the responsibility-specific differentiable-learning bindings. lgssm Rust implementation of the Kalman filter forward pass for a
linear Gaussian state-space model. lgssm_binding 🔒 Python binding for the Linear Gaussian state-space model Kalman filter. matrix_inputs_binding 🔒 Shared matrix parsing and row reshaping for Python learning and solver bindings. mixed_dense_binding 🔒 Python binding for the bit-true Q8.8 by Q16.16 dense contraction. network_runner High-performance network simulation backend. network_runner_binding 🔒 Python bindings for heterogeneous network execution and named-model batches. neuron Stable composition surface for the v3 engine’s foundational neuron models. neurons ollivier_ricci_binding 🔒 Python binding for discrete Ollivier-Ricci graph curvature. optimizer Accelerates SC-Optimizer hot paths: optimizer_binding 🔒 Python bindings for stochastic-computing hardware design-space optimisation. partition Kernighan-Lin local refinement for the chiplet hierarchical
partitioner. Mirrors HierarchicalPartitioner._refine step-for-step
so the Rust output is bit-identical to the Python reference (the
algorithm is fully deterministic given a CSR adjacency, a list of
per-edge |scc| weights, vertex weights, an initial part_map and
(kl_iterations, correlation_penalty, n_parts)). partition_binding 🔒 Python binding for correlation-aware Kernighan-Lin partition refinement. phi Barrett & Seth 2011 geometric Phi under Gaussian assumption.
Phi* = MI(past; future) - max_partition sum MI(past_k; future_k) phi_binding 🔒 Python binding for Gaussian integrated-information estimation. photonic High-performance photonic network-on-chip primitives. ping Step-by-step parity with PINGCircuit.step in
src/sc_neurocore/network/gamma_oscillation.py. ping_binding 🔒 Python binding for the Börgers-Kopell PING circuit step kernel. poisson_binding 🔒 Python binding for the homogeneous Poisson binary-bin generator. predictive_coding Predictive coding via XOR + popcount in packed bitstream domain. predictive_coding_binding 🔒 Python bindings for packed prediction error and lossless spike prediction codecs. pyo3_neurons PyO3 wrappers and compatibility exports for all neuron models. quantum High-performance quantum annealing primitives. rall_dendrite Compartmental dendritic tree with Rall’s 3/2 power rule.
Distal → proximal propagation with inter-compartment coupling. rall_dendrite_binding 🔒 Python binding for the branched Rall cable-model simulator. recorder Spike recording and statistics. recurrent SC recurrent/reservoir layer (echo state network). rk4_neurons Explicit RK4 ports for the priority neuron integrator paths. runtime_control_binding 🔒 Python bindings for runtime SIMD discovery and Rayon thread-pool control. sc_inference Stochastic forward pass over caller-owned packed weight bitstreams. sc_inference_binding 🔒 Python binding for inference over caller-owned packed stochastic weights. scpn scpn_metrics_binding 🔒 Python binding for aggregate SCPN coherence metrics. simd SIMD Popcount Dispatch sobol Sobol quasi-random bitstream generator. stdp_synapse_binding 🔒 Python binding for the fixed-point spike-timing-dependent plasticity synapse. supervisor Pure-Rust supervisory execution and verification pipeline. synapses Stochastic STDP Synapse topology Rust implementation of discrete Ollivier-Ricci curvature on a
coupling graph. wilson_cowan Batch parity with WilsonCowanUnit.step in
src/sc_neurocore/neurons/models/wilson_cowan.py (Wilson & Cowan
1972, Biophys. J. 12:1–24). wilson_cowan_binding 🔒 Python binding for the Wilson-Cowan 1972 excitatory/inhibitory rate model. wong_wang Explicit-Euler NMDA dynamics with the published AMPA Ornstein-Uhlenbeck
current noise. The deterministic sample-taking boundary is shared by the
scalar engine class and the batch accelerator. PyBitStreamTensor Python wrapper for a packed binary hypervector. sc_neurocore_engine 🔒 SC-NeuroCore ─ High-Performance Rust Engine