Index

_ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V

_

__div__() (Sequence method)
__getitem__() (LazyArray method)
(ParameterSpace method)
__iter__() (ParameterSpace method)
__mul__() (Sequence method)

A

AdditivePotentiationMultiplicativeDepression (class in pyNN.standardmodels.synapses)
AdditiveWeightDependence (class in pyNN.standardmodels.synapses)
AllToAllConnector (class in pyNN.connectors)
apply() (LazyArray method)
ArrayConnector (class in pyNN.connectors)
as_dict() (ParameterSpace method)
AXES (Space attribute)

B

BaseStructure (class in pyNN.space)
by_column() (LazyArray method)

C

calculate_size() (Grid2D method)
(Grid3D method)
check_bounds() (LazyArray method)
columns() (ParameterSpace method)
comparison_plot() (in module pyNN.utility.plotting)
computed_parameters() (StandardCellType method)
(StandardSynapseType method)
conductance_based (EIF_cond_alpha_isfa_ista attribute)
(EIF_cond_exp_isfa_ista attribute)
(IF_cond_alpha attribute)
(IF_cond_exp attribute)
(IF_cond_exp_gsfa_grr attribute)
(IF_curr_alpha attribute), [1]
(IF_curr_exp attribute), [1]
(Izhikevich attribute), [1]
(SpikeSourceArray attribute)
(SpikeSourceInhGamma attribute)
(SpikeSourcePoisson attribute)
connect() (Connector method)
connection_type (StandardSynapseType attribute)
Connector (class in pyNN.connectors)
CSAConnector (class in pyNN.connectors)
Cuboid (class in pyNN.space)

D

default_initial_values (EIF_cond_alpha_isfa_ista attribute)
(EIF_cond_exp_isfa_ista attribute)
(IF_cond_alpha attribute)
(IF_cond_exp attribute)
(IF_cond_exp_gsfa_grr attribute)
(IF_curr_alpha attribute)
(IF_curr_exp attribute)
(Izhikevich attribute)
(StandardSynapseType attribute)
default_parameters (AdditivePotentiationMultiplicativeDepression attribute)
(AdditiveWeightDependence attribute)
(EIF_cond_alpha_isfa_ista attribute)
(EIF_cond_exp_isfa_ista attribute)
(GutigWeightDependence attribute)
(IF_cond_alpha attribute)
(IF_cond_exp attribute)
(IF_cond_exp_gsfa_grr attribute)
(IF_curr_alpha attribute)
(IF_curr_exp attribute)
(Izhikevich attribute)
(MultiplicativeWeightDependence attribute)
(SpikePairRule attribute)
(SpikeSourceArray attribute)
(SpikeSourceInhGamma attribute)
(SpikeSourcePoisson attribute)
(StandardSynapseType attribute)
(StaticSynapse attribute)
(TsodyksMarkramSynapse attribute)
describe() (BaseStructure method)
(Connector method)
(GSLRNG method)
(NumpyRNG method)
(STDPMechanism method)
(STDPWeightDependence method)
(SpikePairRule method)
(StandardCellType method)
(StandardSynapseType method)
diff() (Timer method)
distance_generator() (Space method)
DistanceDependentProbabilityConnector (class in pyNN.connectors)
distances() (Space method)

E

EIF_cond_alpha_isfa_ista (class in pyNN.standardmodels.cells)
EIF_cond_exp_isfa_ista (class in pyNN.standardmodels.cells)
elapsed_time() (Timer method)
elapsedTime() (Timer method)
environment variable
PYTHONPATH, [1]
evaluate() (LazyArray method)
(ParameterSpace method)
extra_parameters (StandardSynapseType attribute)

F

Figure (class in pyNN.utility.plotting)
FixedNumberPostConnector (class in pyNN.connectors)
FixedNumberPreConnector (class in pyNN.connectors)
FixedProbabilityConnector (class in pyNN.connectors)
FromFileConnector (class in pyNN.connectors)
FromListConnector (class in pyNN.connectors)

G

gamma() (GSLRNG method)
generate_positions() (BaseStructure method)
(Grid2D method)
(Grid3D method)
(Line method)
(RandomStructure method)
get_native_names() (StandardCellType method)
(StandardSynapseType method)
get_parameter_names() (StandardCellType method)
(STDPMechanism method)
(StandardSynapseType method)
get_parameters() (BaseStructure method)
(Connector method)
get_schema() (StandardCellType method)
(STDPMechanism method)
(StandardSynapseType method)
get_simulator() (in module pyNN.utility)
Grid2D (class in pyNN.space)
Grid3D (class in pyNN.space)
GSLRNG (class in pyNN.random)
GutigWeightDependence (class in pyNN.standardmodels.synapses)

H

has_native_rngs (ParameterSpace attribute)
has_parameter() (StandardCellType method)
(StandardSynapseType method)
has_presynaptic_components (StandardSynapseType attribute)

I

IF_cond_alpha (class in pyNN.standardmodels.cells)
IF_cond_exp (class in pyNN.standardmodels.cells)
IF_cond_exp_gsfa_grr (class in pyNN.standardmodels.cells)
IF_curr_alpha (class in pyNN.standardmodels.cells)
IF_curr_exp (class in pyNN.standardmodels.cells)
IndexBasedProbabilityConnector (class in pyNN.connectors)
init_logging() (in module pyNN.utility)
injectable (EIF_cond_alpha_isfa_ista attribute)
(EIF_cond_exp_isfa_ista attribute)
(IF_cond_alpha attribute)
(IF_cond_exp attribute)
(IF_cond_exp_gsfa_grr attribute)
(IF_curr_alpha attribute)
(IF_curr_exp attribute)
(Izhikevich attribute)
(SpikeSourceArray attribute), [1]
(SpikeSourceInhGamma attribute), [1]
(SpikeSourcePoisson attribute), [1]
is_homogeneous (LazyArray attribute)
(ParameterSpace attribute)
items() (ParameterSpace method)
Izhikevich (class in pyNN.standardmodels.cells)

K

keys() (ParameterSpace method)

L

LazyArray (class in pyNN.parameters)
Line (class in pyNN.space)
load_population() (in module pyNN.utility)

M

mark() (Timer method)
max() (Sequence method)
model (STDPMechanism attribute)
MultiplicativeWeightDependence (class in pyNN.standardmodels.synapses)

N

native_parameters (StandardSynapseType attribute)
(STDPMechanism attribute)
NativeRNG (class in pyNN.random)
ncols (LazyArray attribute)
next() (GSLRNG method)
(NativeRNG method)
(NumpyRNG method)
(RandomDistribution method)
normal() (GSLRNG method)
normal_clipped() (GSLRNG method)
(NumpyRNG method)
normal_clipped_to_boundary() (NumpyRNG method)
notify() (in module pyNN.utility)
nrows (LazyArray attribute)
NumpyRNG (class in pyNN.random)

O

OneToOneConnector (class in pyNN.connectors)

P

Panel (class in pyNN.utility.plotting)
parallel_safe (ParameterSpace attribute)
parameter_checks (StandardSynapseType attribute)
parameter_names (Grid2D attribute)
(Grid3D attribute)
(Line attribute)
(RandomStructure attribute)
ParameterSpace (class in pyNN.parameters)
plot() (Panel method)
possible_models (STDPMechanism attribute)
ProgressBar (class in pyNN.utility)
pyNN.connectors (module)
pyNN.parameters (module)
pyNN.random (module)
pyNN.space (module)
PYTHONPATH, [1]

R

RandomDistribution (class in pyNN.random)
RandomStructure (class in pyNN.space)
receptor_types (SpikeSourceArray attribute)
(SpikeSourceInhGamma attribute)
(SpikeSourcePoisson attribute)
recordable (EIF_cond_alpha_isfa_ista attribute)
(EIF_cond_exp_isfa_ista attribute)
(IF_cond_alpha attribute)
(IF_cond_exp attribute)
(IF_cond_exp_gsfa_grr attribute)
(IF_curr_alpha attribute)
(IF_curr_exp attribute)
(Izhikevich attribute)
(SpikeSourceArray attribute)
(SpikeSourceInhGamma attribute)
(SpikeSourcePoisson attribute)
reset() (Timer method)
reverse_translate() (StandardCellType method)
(StandardSynapseType method)

S

sample() (Cuboid method)
(Sphere method)
save() (Figure method)
save_population() (in module pyNN.utility)
scaled_parameters() (StandardCellType method)
(StandardSynapseType method)
Sequence (class in pyNN.parameters)
set_level() (ProgressBar method)
shape (LazyArray attribute)
(ParameterSpace attribute)
simple_parameters() (StandardCellType method)
(StandardSynapseType method)
size (LazyArray attribute)
SmallWorldConnector (class in pyNN.connectors)
Space (class in pyNN.space)
Sphere (class in pyNN.space)
SpikePairRule (class in pyNN.standardmodels.synapses)
SpikeSourceArray (class in pyNN.standardmodels.cells)
SpikeSourceInhGamma (class in pyNN.standardmodels.cells)
SpikeSourcePoisson (class in pyNN.standardmodels.cells)
StandardCellType (class in pyNN.standardmodels)
StandardSynapseType (class in pyNN.standardmodels)
start() (Timer method)
StaticSynapse (class in pyNN.standardmodels.synapses)
STDPMechanism (class in pyNN.standardmodels.synapses)
STDPTimingDependence (class in pyNN.standardmodels)
STDPWeightDependence (class in pyNN.standardmodels)

T

time_in_words() (Timer static method)
Timer (class in pyNN.utility)
translate() (StandardCellType method)
(StandardSynapseType method)
translations (GSLRNG attribute)
(NumpyRNG attribute)
(StandardSynapseType attribute)
TsodyksMarkramSynapse (class in pyNN.standardmodels.synapses)

U

uniform_int() (GSLRNG method)
units (EIF_cond_alpha_isfa_ista attribute)
(EIF_cond_exp_isfa_ista attribute)
(IF_cond_alpha attribute)
(IF_cond_exp attribute)
(IF_cond_exp_gsfa_grr attribute)
(IF_curr_alpha attribute)
(IF_curr_exp attribute)
(Izhikevich attribute)
update() (ParameterSpace method)

V

voltage_based_synapses (Izhikevich attribute)