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5e0b58b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 | """Brain-5D core neural network components.
This package provides the fundamental building blocks of the Brain-5D
spiking neural network, including:
- 5D spatial indexing and coordinate transformations
- Izhikevich neuron model with multiple types, homeostasis, and energy
- Synaptic connections with STDP, reward-modulated plasticity, and metaplasticity
- Sparse spiking neural network with event-driven spike propagation
All components are fully typed and support serialization.
"""
from __future__ import annotations
# ============================================================================
# Network
# ============================================================================
from .network import (
Brain5DConfig,
NetworkConfig,
NeuralNetwork,
PostStepHook,
SimulationConfig,
SpikeEvent,
StepResult,
TopologyConfig,
create_network,
)
# ============================================================================
# Neuron
# ============================================================================
from .neuron import (
Neuron,
NeuronConfig,
NeuronType,
create_neuron,
create_random_neuron,
)
# ============================================================================
# Spatial Index
# ============================================================================
from .spatial_index import (
BITS_PER_DIM,
DIM_INDICES,
DIM_NAMES,
MASK,
MAX_COORD,
SHIFTS,
Coord5D,
Dim5D,
chebyshev_distance_5d,
coords_to_linear,
coords_to_linear_batch,
distance_5d,
euclidean_distance_5d,
get_dimension_index,
get_dimension_name,
is_valid_coord,
is_valid_coord_in_dims,
iter_linear_neighbours,
iter_neighbour_coords,
linear_to_5d,
linear_to_coord,
linear_to_coords_batch,
make_boundary_coord,
manhattan_distance_5d,
neighbour_count,
neighbour_offsets,
pack_coords,
total_cells,
unpack_coords,
validate_coord,
validate_coord_in_dims,
validate_dims,
weighted_distance_5d,
)
# ============================================================================
# Synapse
# ============================================================================
from .synapse import (
A_MINUS,
A_PLUS,
ELIGIBILITY_DECAY,
TAU_MINUS,
TAU_PLUS,
W_MAX,
W_MIN,
Synapse,
SynapseConfig,
create_random_synapse,
create_synapse,
)
# ============================================================================
# Public API
# ============================================================================
__all__ = [
# Spatial index
"BITS_PER_DIM",
"Coord5D",
"DIM_INDICES",
"DIM_NAMES",
"Dim5D",
"MASK",
"MAX_COORD",
"SHIFTS",
"chebyshev_distance_5d",
"coords_to_linear",
"coords_to_linear_batch",
"distance_5d",
"euclidean_distance_5d",
"get_dimension_index",
"get_dimension_name",
"is_valid_coord",
"is_valid_coord_in_dims",
"iter_linear_neighbours",
"iter_neighbour_coords",
"linear_to_5d",
"linear_to_coord",
"linear_to_coords_batch",
"make_boundary_coord",
"manhattan_distance_5d",
"neighbour_count",
"neighbour_offsets",
"pack_coords",
"total_cells",
"unpack_coords",
"validate_coord",
"validate_coord_in_dims",
"validate_dims",
"weighted_distance_5d",
# Neuron
"Neuron",
"NeuronConfig",
"NeuronType",
"create_neuron",
"create_random_neuron",
# Synapse
"A_MINUS",
"A_PLUS",
"ELIGIBILITY_DECAY",
"TAU_MINUS",
"TAU_PLUS",
"W_MAX",
"W_MIN",
"Synapse",
"SynapseConfig",
"create_random_synapse",
"create_synapse",
# Network
"Brain5DConfig",
"NetworkConfig",
"NeuralNetwork",
"PostStepHook",
"SimulationConfig",
"SpikeEvent",
"StepResult",
"TopologyConfig",
"create_network",
]
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