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Concepts:
Modelling:
File formats:
RANGE
PROCEDURE
PARAMETER
INITIAL
BREAKPOINT
DERIVATIVE
API reference:
recipe
event_generator
regular_schedule
explicit_schedule
poisson_schedule
selection_policy
cell_local_label
cell_global_label
cell_member
cell_kind
connection
connection.connection()
connection.source
connection.dest
connection.weight
connection.delay
gap_junction_connection
gap_junction_connection.peer
gap_junction_connection.local
gap_junction_connection.weight
threshold_detector
threshold_detector.threshold
config()
mpi_init()
mpi_is_initialized()
mpi_comm
mpi_finalize()
mpi_is_finalized()
env.find_private_gpu()
env.thread_concurrency()
env.get_env_num_threads()
env.default_concurrency()
env.default_gpu()
env.default_allocation()
proc_allocation
context
partition_load_balance()
partition_by_group()
partition_hint
backend
domain_decomposition
group_description
simulation
spike_recording
meter_manager
meter_report
mnpos
location
cable
mpoint
segment
segment_tree
morphology
place_pwlin
isometry
label_dict
mechanism
density
synapse
junction
mechanism_info
ion_dependency
mechanism_field
decor
lif_probe_voltage()
cable_cell
cable_cell.__init__()
cable_cell.placed_lid_range()
ion
cable_cell_global_properties
cable_cell_global_properties.catalogue
cable_cell_global_properties.membrane_voltage_limit
cable_cell_global_properties.ion_data
cable_cell_global_properties.ion_valence
cable_cell_global_properties.ion_reversal_potential
cable_cell_global_properties.ions
cable_cell_global_properties.unset_ion()
cable_cell_global_properties.membrane_potential
cable_cell_global_properties.membrane_capacitance
cable_cell_global_properties.temperature
cable_cell_global_properties.axial_resistivity
lif_cell
lif_cell.lif_cell()
lif_cell.source
lif_cell.target
lif_cell.tau_m
lif_cell.V_th
lif_cell.C_m
lif_cell.E_L
lif_cell.E_R
lif_cell.V_m
lif_cell.t_ref
spike_source_cell
spike_source_cell.spike_source_cell()
benchmark_cell
benchmark_cell.benchmark_cell()
single_cell_model
single_cell_model.single_cell_model()
single_cell_model.run()
single_cell_model.probe()
single_cell_model.spikes()
single_cell_model.traces()
single_cell_model.properties
trace
trace.variable
trace.loc
trace.t
trace.v
mc_cell_group
simd
simd_mask
where_expression
arb_mechanism_type
arb_mechanism_interface
The description of a benchmark cell is used to determine the spiking schedule of the cell and manipulate its performance efficiency. This cell is mainly used by developers.
Python
